David Schoenfeld
Impact in
-
- Hormonal and reproductive studies
Papers in
-
- Statistical Methods in Clinical Trials 38
- Statistical Methods and Inference 25
- Advanced Causal Inference Techniques 23
- Statistical Methods and Bayesian Inference 18
- Co-authors
- Gordon R. BernardIvor S. DouglasJoel S. FinkelsteinMerit CudkowiczDianne M. FinkelsteinRonald G. TompkinsBruce ThompsonAnne Klibanski
- Journals
- The Journal of Clinical Endocrinology & Metabolism (32 papers)Statistics in Medicine (15 papers)Biometrics (14 papers)Cancer (13 papers)Critical Care Medicine (11 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David Schoenfeld
341 papers receiving 32.0k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Critical Care and Intensive Care Medicine 1.8k
- Endocrinology, Diabetes and Metabolism 4.9k
- Genetics 2.9k
- Statistics and Probability 2.1k
- Emergency Medicine 2.4k
Countries citing papers authored by David Schoenfeld
This map shows the geographic impact of David Schoenfeld's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Schoenfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Schoenfeld more than expected).
Fields of papers citing papers by David Schoenfeld
This network shows the impact of papers produced by David Schoenfeld. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Schoenfeld. The network helps show where David Schoenfeld may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Schoenfeld, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 6 | |
| 6 | 2019 | 41 | |
| 7 | 2019 | 15 | |
| 8 | 2019 | 193 | |
| 9 | 2018 | 101 | |
| 10 | 2015 | 0 | |
| 11 | 2012 | 182 | |
| 12 | 2011 | 26 | |
| 13 | 2008 | 63 | |
| 14 | 2008 | 30 | |
| 15 | Pulmonary-Artery versus Central Venous Catheter to Guide Treatment of Acute Lung Injury Hit paper breakdown → | 2006 | 583 |
| 16 | 2005 | 20 | |
| 17 | 2005 | 23 | |
| 18 | 2002 | 100 | |
| 19 | 2001 | 199 | |
| 20 | AIDS clinical trials | 1995 | 33 |
About David Schoenfeld
David Schoenfeld is a scholar working on Statistics and Probability, Transplantation, Neurology, Genetics and Critical Care and Intensive Care Medicine, having authored 347 papers that have together received 33.2k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (41 papers), Statistical Methods in Clinical Trials (38 papers), Statistical Methods and Inference (25 papers), Advanced Causal Inference Techniques (23 papers), Neurogenetic and Muscular Disorders Research (23 papers), Growth Hormone and Insulin-like Growth Factors (19 papers), Statistical Methods and Bayesian Inference (18 papers) and Sepsis Diagnosis and Treatment (18 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (1.8k citations), Endocrinology, Diabetes and Metabolism (4.9k citations), Genetics (2.9k citations), Statistics and Probability (2.1k citations) and Emergency Medicine (2.4k citations). David Schoenfeld has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gordon R. Bernard, Ivor S. Douglas, Joel S. Finkelstein, Merit Cudkowicz, Dianne M. Finkelstein, Ronald G. Tompkins, Bruce Thompson, Anne Klibanski, David M. Nathan and A. Eden Evins. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Statistics in Medicine, Biometrics, Cancer and Critical Care Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.