Genentech

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Papers in the tracked journals with an author at Genentech: per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

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Key findings#

From 2017 to 2026 (so far), authors at Genentech took part in 33 papers in the tracked journals, most of them in health economics and policy (17), AI (10) and statistics (5).
6 of them were published in 2025, against 2 in 2017.
Since 2023, the institutions with the most of these papers were F. Hoffmann-La Roche AG (5), Memorial Sloan Kettering Cancer Center (3) and University of Warwick (3).
The journals publishing most of them were Nature Machine Intelligence (5), PharmacoEconomics (3) and Applied Health Economics and Health Policy (2).
The most-cited of them is “Game changers in science and technology - now and beyond” (Technological Forecasting and Social Change, 2023), with 131 citations.
Since 2023, papers in the tracked journals cited 16 of its papers 49 times; 86% of those links came from papers with a university author and 8% from its own papers.
Its own papers since 2023 cite archived papers 46 times, 37% of them papers with a company author.
Across everything OpenAlex indexes, Genentech has 26,250 works with 9,852,521 citations (h-index 1,142).
The tracked journals hold 31 of its 11,393 works in OpenAlex from 2017 to 2025 (0.3%).
Its main research topics in OpenAlex are Monoclonal and Polyclonal Antibodies Research (1,956), Cancer Immunotherapy and Biomarkers (1,635) and Protein purification and stability (1,411).
OpenAlex lists it under Roche (United States).

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
Health Economics and Policy	1	1	1	2	1	3	1	3	2	2
AI	1	0	0	0	1	1	4	0	3	0
Statistics	0	0	2	0	0	0	0	2	1	0
Management	0	0	0	0	0	0	1	0	0	0
All categories	2	1	3	2	2	4	6	5	6	2

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Nature Machine Intelligence	5
2	PharmacoEconomics	3
3	Applied Health Economics and Health Policy	2
4	BMC Medical Research Methodology	2
5	PharmacoEconomics - Open	2
6	Technological Forecasting and Social Change	1
7	IEEE Transactions on Pattern Analysis and Machine Intelligence	1
8	Medical Image Analysis	1
9	Cost Effectiveness and Resource Allocation	1
10	Journal of Statistical Theory and Practice	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	F. Hoffmann-La Roche AG	5
2	Memorial Sloan Kettering Cancer Center	3
3	University of Warwick	3
4	Academy of Mathematics and Systems Science	2
5	Bayer (Germany)	2
6	Chinese Academy of Sciences	2
7	City Of Hope National Medical Center	2
8	GlaxoSmithKline (United Kingdom)	2
9	Merck Healthcare KGaA, Darmstadt (Germany)	2

Countries with the most papers, since 2023
#	Country	Papers
1	United States	19
2	Switzerland	7
3	United Kingdom	6
4	Germany	3
5	Sweden	3
6	China	2
7	Netherlands	2
8	Australia	1
9	Belgium	1
10	Brazil	1

Keywords with the most papers, since 2023
#	Keyword	Papers
1	non-small cell lung cancer	3
2	quality-adjusted life years	3
3	COVID-19 pandemic	2
4	budget impact	2
5	commercial health plans	2
6	explainable AI	2
7	health equity	2
8	health technology assessment	2
9	population health	2
10	single-cell data	2

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	131	3.1	Game changers in science and technology - now and beyond	Technological Forecasting and Social Change	2023-05-04	Ulrich A. K. Betz, Loukik Arora, R.A. Assal et al.
2	83	1.8	Learning from data with structured missingness	Nature Machine Intelligence	2023-01-25	Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti et al.
3	80	1.2	Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modelling	Nature Machine Intelligence	2021-06-21	James Jian-Qiang Lu, Brendan C. Bender, Jin Y. Jin et al.
4	55	1.2	Deep learning models for predicting RNA degradation via dual crowdsourcing	Nature Machine Intelligence	2022-12-14	Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins et al.
5	42	2.1	Data-driven federated learning in drug discovery with knowledge distillation	Nature Machine Intelligence	2025-03-05	Thierry Hanser, Ernst Ahlberg, Alexander Amberg et al.
6	36	0.3	Cost Effectiveness of Alectinib vs. Crizotinib in First-Line Anaplastic Lymphoma Kinase-Positive Advanced Non-Small-Cell Lung Cancer	PharmacoEconomics	2018-02-27	Josh John Carlson, Kangho Suh, Panos Orfanos et al.
7	34	1.8	Personalized uncertainty quantification in artificial intelligence	Nature Machine Intelligence	2025-04-23	Tapabrata Chakraborti, Christopher R. S. Banerji, Ariane Marandon et al.
8	19	0.2	Budget Impact of 12-Month Fixed Treatment Duration Venetoclax in Combination with Obinutuzumab in Previously Untreated Chronic Lymphocytic Leukemia Patients in the United States	PharmacoEconomics	2020-05-08	Sang Kyu Cho, Beenish S. Manzoor, Kavita Sail et al.
9	17	0.3	Cost-Effectiveness Analysis of Venetoclax in Combination with Azacitidine Versus Azacitidine Monotherapy in Patients with Acute Myeloid Leukemia Who are Ineligible for Intensive Chemotherapy: From a US Third Party Payer Perspective	PharmacoEconomics	2022-06-13	Keith William Pratz, Xinglei Chai, Jipan Xie et al.
10	16	0.4	Supervised learning of high-confidence phenotypic subpopulations from single-cell data	Nature Machine Intelligence	2023-05-08	Tao Ren, Canping Chen, Alexey Valeryevich Danilov et al.

Who cites its research#

Institutions whose papers cite it most, since 2023
#	Institution	Kind	Country	Links
1	Korea University	University	South Korea	3
2	Technische Universität Berlin	University	Germany	3
3	Rutgers, The State University of New Jersey	University	United States	2
4	Tufts Medical Center	Healthcare	United States	2
5	University of Toronto	University	Canada	2
6	Dalian University of Technology	University	China	2
7	University of Manchester	University	United Kingdom	2
8	University of Oxford	University	United Kingdom	2
9	BASF (Germany)	Company	Germany	2

What its papers cite#

Institutions its papers cite most, since 2023
#	Institution	Kind	Country	Links
1	University College London	University	United Kingdom	6
2	Technische Universität Berlin	University	Germany	5
3	F. Hoffmann-La Roche AG	Company	Switzerland	4
4	Korea University	University	South Korea	4
5	Berlin Institute for the Foundations of Learning and Data	Research facility	Germany	4
6	Google (United States)	Company	United States	3
7	Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute	Research facility	Germany	3
8	Max Planck Institute for Informatics	Research facility	Germany	3
9	Cardiff University	University	United Kingdom	3

Citation links inside the tracked journals; see the corporate citation network and industry–university links.

In OpenAlex#

Genentech in OpenAlex
Item	Value
Type	Company
Location	San Francisco, United States
Part of	Roche (United States)
Units listed in OpenAlex	1
Works in OpenAlex	26,250
Citations	9,852,521
h-index	1,142
i10-index	59,320
2-year mean citedness	8.46
Website	www.gene.com
ROR	ror.org/04gndp242
Wikidata	www.wikidata.org/wiki/Q899140
OpenAlex	openalex.org/I183934855

Main research topics (OpenAlex, all works)
#	Topic	Field	Works
1	Monoclonal and Polyclonal Antibodies Research	Medicine	1,956
2	Cancer Immunotherapy and Biomarkers	Medicine	1,635
3	Protein purification and stability	Biochemistry, Genetics and Molecular Biology	1,411
4	Lung Cancer Treatments and Mutations	Medicine	1,227
5	Biosimilars and Bioanalytical Methods	Immunology and Microbiology	1,067

Works and citations per year in OpenAlex, and its papers in the tracked journals
Year	Works in OpenAlex	Citations received	In the tracked journals	Share
2026 (so far)	2,410	113,315	2	0.1%
2025	1,306	141,515	6	0.5%
2024	1,350	143,405	5	0.4%
2023	1,473	134,131	6	0.4%
2022	1,255	128,246	4	0.3%
2021	1,305	128,362	2	0.2%
2020	1,248	110,289	2	0.2%
2019	1,221	91,597	3	0.2%
2018	1,163	82,712	1	0.1%
2017	1,072	78,653	2	0.2%

From OpenAlex's own record of the institution (CC0), read again monthly. Works and citations count everything OpenAlex indexes, not only the tracked journals; topics are OpenAlex's classification of those works.

Cite this page

Scholar4AI. (2026). Genentech. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/companies/genentech

@misc{scholar4ai-companies-genentech,
  author = {{Scholar4AI}},
  title = {Genentech},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/genentech}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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