Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Boehringer Ingelheim (Germany)

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Papers in the tracked journals with an author at Boehringer Ingelheim (Germany): 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 Boehringer Ingelheim (Germany) took part in 26 papers in the tracked journals, most of them in health economics and policy (13), statistics (11) and AI (2).
  • 2 of them were published in 2025, against 1 in 2017.
  • Since 2023, the institutions with the most of these papers were Merck & Co., Inc., Rahway, NJ, USA (United States) (5), Uppsala University (5) and Boehringer Ingelheim (United States) (4).
  • The journals publishing most of them were BMC Medical Research Methodology (8), PharmacoEconomics - Open (3) and Patient (1).
  • The most-cited of them is “Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans” (Nature Machine Intelligence, 2021), with 1,045 citations.
  • Since 2023, papers in the tracked journals cited 9 of its papers 45 times; 89% of those links came from papers with a university author and 0% from its own papers.
  • Its own papers since 2023 cite archived papers 5 times, 60% of them papers with a company author.
  • Across everything OpenAlex indexes, Boehringer Ingelheim (Germany) has 10,871 works with 1,241,176 citations (h-index 410).
  • The tracked journals hold 21 of its 5,657 works in OpenAlex from 2017 to 2025 (0.4%).
  • Its main research topics in OpenAlex are Chronic Obstructive Pulmonary Disease (COPD) Research (1,180), Diabetes Treatment and Management (1,068) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (900).

Papers per year#

2017: 1 paper2018: 3 papers2019: 1 paper2020: 2 papers2021: 4 papers2022: 1 paper2023: 2 papers2024: 5 papers2025: 2 papers2026 (so far): 5 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Health Economics and Policy1212111013
Statistics0100200512
AI0000101000
All categories1312412525

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Merck & Co., Inc., Rahway, NJ, USA (United States)5
2Uppsala University5
3Boehringer Ingelheim (United States)4
4Medical University of South Carolina4
5Amgen (United Kingdom)3
6Lancaster University2
7MRC Biostatistics Unit2
8RWTH Aachen University2
9Rensselaer Polytechnic Institute2
Countries with the most papers, since 2023
#CountryPapers
1Germany14
2United Kingdom10
3United States9
4Sweden5
5France1
6Netherlands1
Keywords with the most papers, since 2023
#KeywordPapers
1randomization3
2cost-effectiveness2
3obesity2
4platform trials2
5treatment imbalance2
6EMPEROR-Preserved trial1
7EQ-5D-5L1
8French health system1
9Markov model1
10SGLT2 inhibitors1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
11,04515.4Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scansNature Machine Intelligence2021-03-15Michael Roberts, Derek Driggs, Matthew Thorpe et al.
21091.0The Burden of Illness of Idiopathic Pulmonary Fibrosis: A Comprehensive Evidence ReviewPharmacoEconomics2018-02-28Alexander Diamantopoulos, Emily Wright, Katerina Vlahopoulou et al.
3270.8Learning image representations for anomaly detection: Application to discovery of histological alterations in drug developmentMedical Image Analysis2023-12-21Igor Zingman, Birgit Stierstorfer, Charlotte Lempp et al.
4260.4Statistical inference for state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoringEconometrics and Statistics2021-10-22Alexandra Nießl, Arthur Allignol, Jan Beyersmann et al.
5230.3Incorporating the Environmental Impact into a Budget Impact Analysis: The Example of Adopting RESPIMAT® Re-usable InhalerApplied Health Economics and Health Policy2019-12-06Gustaf Ortsäter, Fredrik Borgström, Mike Baldwin et al.
6210.4A European multinational cost-effectiveness analysis of empagliflozin in heart failure with reduced ejection fractionThe European Journal of Health Economics2022-12-04Ali Tafazzoli, Odette S. Reifsnider, Leana Bellanca et al.
7130.2Cost-effectiveness of empagliflozin in patients with type 2 diabetes and established cardiovascular disease in ChinaCost Effectiveness and Resource Allocation2021-08-04Mafalda Ramos, Peng Men, Xu Wang et al.
8120.4Selecting a randomization method for a multi-center clinical trial with stochastic recruitment considerationsBMC Medical Research Methodology2024-02-28Oleksandr Sverdlov, Yevgen V. Ryeznik, Vladimir V. Anisimov et al.
9100.1Budget impact of sequential treatment with first-line afatinib versus first-line osimertinib in non-small-cell lung cancer patients with common EGFR mutationsThe European Journal of Health Economics2020-04-23Lotte Westerink, Jelmer Lennart Jens Nicolai, Carl Haakon Samuelsen et al.
1070.4Seven Actions Towards Advancing Patient Authorship and Collaboration in Peer-Reviewed PublicationsPatient2025-07-02Trishna Bharadia, Jan Geißler, Rosie Robson et al.

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1University of CambridgeUniversityUnited Kingdom5
2Centre National de la Recherche ScientifiqueGovernmentFrance4
3The Alan Turing InstituteResearch facilityUnited Kingdom4
4InsermGovernmentFrance3
5University of BremenUniversityGermany3
6Imperial College LondonUniversityUnited Kingdom3
7Henan University of Chinese MedicineUniversityChina2
8University of California, Los AngelesUniversityUnited States2
9École des Hautes Études en Santé PubliqueUniversityFrance2
10Université de BourgogneUniversityFrance2

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1Novo Nordisk (Denmark)CompanyDenmark2
2Health Economics and Outcomes Research (United Kingdom)CompanyUnited Kingdom2
3École Supérieure des Sciences Économiques et CommercialesOtherFrance1
4Amgen (United States)CompanyUnited States1
5Pontificia Universidad Católica de ChileUniversityChile1
6William & MaryUniversityUnited States1
7King's College LondonUniversityUnited Kingdom1
8University of BristolUniversityUnited Kingdom1
9EuroQol Research FoundationNonprofitNetherlands1
10Swedish Institute for Health EconomicsResearch facilitySweden1

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

In OpenAlex#

Boehringer Ingelheim (Germany) in OpenAlex
ItemValue
TypeCompany
LocationIngelheim, Rheinland-Pfalz, Germany
Units listed in OpenAlex27
Works in OpenAlex10,871
Citations1,241,176
h-index410
i10-index12,631
2-year mean citedness6.80
Websitewww.boehringer-ingelheim.com/de
RORror.org/00q32j219
OpenAlexopenalex.org/I1330995197
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Chronic Obstructive Pulmonary Disease (COPD) ResearchMedicine1,180
2Diabetes Treatment and ManagementMedicine1,068
3Interstitial Lung Diseases and Idiopathic Pulmonary FibrosisMedicine900
4Asthma and respiratory diseasesMedicine825
5Inhalation and Respiratory Drug DeliveryMedicine637
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)59733,06050.8%
202569337,80520.3%
202474937,78950.7%
202364733,91420.3%
202264432,51010.2%
202166532,83240.6%
202062729,41620.3%
201966023,93510.2%
201853021,81830.6%
201744220,01810.2%

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). Boehringer Ingelheim (Germany). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/companies/boehringer-ingelheim-germany

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

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