Matthew S. Holdren
- Hepatology top 2%
- Liver physiology and pathology 3
- Rheumatology top 10%
-
- Pancreatic and Hepatic Oncology Research 3
- Cancer Immunotherapy and Biomarkers 2
-
- TGF-β signaling in diseases 4
- Fibroblast Growth Factor Research 2
- Renal and related cancers 2
-
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Jean S. CampbellNelson FaustoSteven D. HughesThomas E. PalmerDebra G. GilbertsonAaron C. HaranW. Tony ParksMatthew M. Yeh
- Cited by
- HepatologyRheumatologyOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Matthew S. Holdren
15 papers receiving 944 citations
Peers
Comparison fields: 5 of 78
- Hepatology 328
- Rheumatology 133
- Oncology 206
- Cancer Research 102
- Immunology and Allergy 37
Countries citing papers authored by Matthew S. Holdren
This map shows the geographic impact of Matthew S. Holdren'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 Matthew S. Holdren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Holdren more than expected).
Fields of papers citing papers by Matthew S. Holdren
This network shows the impact of papers produced by Matthew S. Holdren. 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 Matthew S. Holdren. The network helps show where Matthew S. Holdren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew S. Holdren, 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 | 2020 | 70 | |
| 2 | Functional and Ultrastructural Assessment of Novel OCT Findings in the Cynomolgus Monkey | 2019 | 1 |
| 3 | 2017 | 51 | |
| 4 | 2016 | 34 | |
| 5 | 2013 | 17 | |
| 6 | 2013 | 7 | |
| 7 | 2012 | 11 | |
| 8 | 2008 | 2 | |
| 9 | 2006 | 33 | |
| 10 | 2006 | 118 | |
| 11 | 2006 | 27 | |
| 12 | 2005 | 100 | |
| 13 | 2005 | 272 | |
| 14 | 2004 | 52 | |
| 15 | 2002 | 165 |
About Matthew S. Holdren
Matthew S. Holdren is a scholar working on Hepatology, Oncology and Immunology, having authored 15 papers that have together received 960 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Liver physiology and pathology (3 papers), Immune Cell Function and Interaction (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Fibroblast Growth Factor Research (2 papers), Renal and related cancers (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Hepatology (328 citations), Rheumatology (133 citations) and Oncology (206 citations). Matthew S. Holdren has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Jean S. Campbell, Nelson Fausto, Steven D. Hughes, Thomas E. Palmer, Debra G. Gilbertson, Aaron C. Haran, W. Tony Parks, Matthew M. Yeh, Harald S. Haugen and Renay L. Bauer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Hepatology.
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.