David W. Crabb
- Epidemiology top 0.2%
- Pathology and Forensic Medicine top 0.1%
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 1%
- Co-authors
- Min YouHoward J. EdenbergSuthat LiangpunsakulMonika FischerMichinaga MatsumotoWilliam BosronMark A. DeegAndrea Galli
- Topics
- Alcohol Consumption and Health Effects (84 papers)Liver Disease Diagnosis and Treatment (49 papers)Peroxisome Proliferator-Activated Receptors (36 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
David W. Crabb
186 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Epidemiology 4.8k
- Pathology and Forensic Medicine 4.6k
- Molecular Biology 3.5k
- Endocrinology, Diabetes and Metabolism 1.8k
- Physiology 1.4k
Countries citing papers authored by David W. Crabb
This map shows the geographic impact of David W. Crabb'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 W. Crabb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Crabb more than expected).
Fields of papers citing papers by David W. Crabb
This network shows the impact of papers produced by David W. Crabb. 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 W. Crabb. The network helps show where David W. Crabb may publish in the future.
Co-authorship network of co-authors of David W. Crabb
This figure shows the co-authorship network connecting the top 25 collaborators of David W. Crabb. A scholar is included among the top collaborators of David W. Crabb based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David W. Crabb. David W. Crabb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 34 | |
| 3 | 96 | |
| 4 | 20 | |
| 5 | Early Detection of Alcoholic Liver Disease: Are We a Step Closer? | 1 |
| 6 | 57 | |
| 7 | 16 | |
| 8 | 45 | |
| 9 | 34 | |
| 10 | 17 | |
| 11 | Antidiabetic thiazolidinediones induce ductal differentiation but not apoptosis in pancreatic cancer cells | 1 |
| 12 | 241 | |
| 13 | 77 | |
| 14 | 122 | |
| 15 | 21 | |
| 16 | Alcohol and medication interactions | 233 |
| 17 | 15 | |
| 18 | 236 | |
| 19 | 2 | |
| 20 | 13 |
About David W. Crabb
David W. Crabb is a scholar working on Pathology and Forensic Medicine, Biochemistry and Clinical Biochemistry, having authored 190 papers that have together received 10.6k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (84 papers), Liver Disease Diagnosis and Treatment (49 papers) and Peroxisome Proliferator-Activated Receptors (36 papers). The work is most often cited by research in Pathology and Forensic Medicine (4.6k citations), Biochemistry (1.3k citations) and Epidemiology (4.8k citations). David W. Crabb has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Min You, Howard J. Edenberg, Suthat Liangpunsakul, Monika Fischer, Michinaga Matsumoto, William Bosron, Mark A. Deeg, Andrea Galli, Naga Chalasani and Robert A. Harris. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.