Bristol-Myers Squibb (United States)
Papers in the tracked journals with an author at Bristol-Myers Squibb (United States): 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.
Key findings#
- From 2017 to 2026 (so far), authors at Bristol-Myers Squibb (United States) took part in 44 papers in the tracked journals, most of them in health economics and policy (39), statistics (3) and economics (1).
- It ranks #36 among the companies publishing in the tracked journals from 2023 to 2025.
- 4 of them were published in 2025, against 3 in 2017.
- Since 2023, the institutions with the most of these papers were Bristol-Myers Squibb (United Kingdom) (12), University College London (3) and University of Sheffield (3).
- The journals publishing most of them were PharmacoEconomics - Open (13), PharmacoEconomics (5) and Metrika (1).
- The most-cited of them is “Artificial Intelligence to Automate Network Meta-Analyses: Four Case Studies to Evaluate the Potential Application of Large Language Models” (PharmacoEconomics - Open, 2024), with 71 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| Health Economics and Policy | 3 | 4 | 4 | 2 | 4 | 3 | 5 | 9 | 4 | 1 |
| Statistics | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 |
| Economics | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| AI | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 3 | 4 | 5 | 2 | 4 | 3 | 7 | 11 | 4 | 1 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | PharmacoEconomics - Open | 13 |
| 2 | PharmacoEconomics | 5 |
| 3 | Metrika | 1 |
| 4 | Statistics & Probability Letters | 1 |
| 5 | Journal of Statistical Planning and Inference | 1 |
| 6 | IEEE Transactions on Knowledge and Data Engineering | 1 |
| 7 | The European Journal of Health Economics | 1 |
| # | Institution | Papers |
|---|---|---|
| 1 | Bristol-Myers Squibb (United Kingdom) | 12 |
| 2 | University College London | 3 |
| 3 | University of Sheffield | 3 |
| 4 | Curtin University | 2 |
| 5 | Northwestern University | 2 |
| 6 | The University of Sydney | 2 |
| 7 | University of Illinois Chicago | 2 |
| 8 | University of Technology Sydney | 2 |
| 9 | Adelphi Group (United Kingdom) | 1 |
| # | Country | Papers |
|---|---|---|
| 1 | United States | 23 |
| 2 | United Kingdom | 14 |
| 3 | Australia | 2 |
| 4 | China | 2 |
| 5 | Netherlands | 2 |
| 6 | Canada | 1 |
| 7 | Switzerland | 1 |
| 8 | Denmark | 1 |
| 9 | France | 1 |
| 10 | Sweden | 1 |
| # | Keyword | Papers |
|---|---|---|
| 1 | quality-adjusted life years | 6 |
| 2 | cost-effectiveness | 5 |
| 3 | health technology assessment | 4 |
| 4 | nivolumab | 4 |
| 5 | first-line therapy | 3 |
| 6 | health care costs | 3 |
| 7 | health utility | 3 |
| 8 | health-related quality of life | 3 |
| 9 | immune checkpoint inhibitors | 3 |
| 10 | large language models | 3 |
Most-cited papers#
Cite this page
Scholar4AI. (2026). Bristol-Myers Squibb (United States). Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/companies/bristol-myers-squibb-united-states
@misc{scholar4ai-companies-bristol-myers-squibb-united-states,
author = {{Scholar4AI}},
title = {Bristol-Myers Squibb (United States)},
year = {2026},
howpublished = {\url{https://scholar4ai.com/companies/bristol-myers-squibb-united-states}},
urldate = {2026-10-31},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}