Daniel T. Eitzman
Impact in
- Hematology top 1%
- Blood Coagulation and Thrombosis Mechanisms
- Internal Medicine top 2%
Papers in
- Hematology 29
- Blood Coagulation and Thrombosis Mechanisms 25
-
- Cell Adhesion Molecules Research 11
- Co-authors
- Randal J. WestrickDavid GinsburgWei LuoPeter F. BodaryWilliam P. FayChiao GuoYuechun ShenJason S. Knight
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (13 papers)Journal of the American College of Cardiology (10 papers)Scientific Reports (8 papers)Circulation (7 papers)Journal of Clinical Investigation (6 papers)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Daniel T. Eitzman
97 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Hematology 1.1k
- Internal Medicine 285
- Cardiology and Cardiovascular Medicine 1.5k
- Immunology and Allergy 376
- Immunology 1.3k
Countries citing papers authored by Daniel T. Eitzman
This map shows the geographic impact of Daniel T. Eitzman'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 Daniel T. Eitzman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Eitzman more than expected).
Fields of papers citing papers by Daniel T. Eitzman
This network shows the impact of papers produced by Daniel T. Eitzman. 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 Daniel T. Eitzman. The network helps show where Daniel T. Eitzman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel T. Eitzman, 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 | 2024 | 1 | |
| 2 | 2021 | 20 | |
| 3 | 2017 | 23 | |
| 4 | 2017 | 38 | |
| 5 | 2016 | 10 | |
| 6 | 2016 | 18 | |
| 7 | 2012 | 3 | |
| 8 | 2012 | 108 | |
| 9 | 2012 | 3 | |
| 10 | 2011 | 1 | |
| 11 | 2011 | 0 | |
| 12 | 2010 | 13 | |
| 13 | 2007 | 11 | |
| 14 | 2005 | 40 | |
| 15 | 2004 | 3 | |
| 16 | 2003 | 2 | |
| 17 | 2003 | 1 | |
| 18 | 2002 | 96 | |
| 19 | 2002 | 90 | |
| 20 | 2001 | 10 |
About Daniel T. Eitzman
Daniel T. Eitzman is a scholar working on Hematology, Immunology and Allergy, Genetics, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 100 papers that have together received 5.2k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (25 papers), Protease and Inhibitor Mechanisms (17 papers), Atherosclerosis and Cardiovascular Diseases (16 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Cell Adhesion Molecules Research (11 papers), Cardiovascular Disease and Adiposity (10 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers) and Blood properties and coagulation (8 papers). The work is most often cited by research in Hematology (1.1k citations), Internal Medicine (285 citations), Cardiology and Cardiovascular Medicine (1.5k citations), Immunology and Allergy (376 citations) and Immunology (1.3k citations). Daniel T. Eitzman has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Randal J. Westrick, David Ginsburg, Wei Luo, Peter F. Bodary, William P. Fay, Chiao Guo, Yuechun Shen, Jason S. Knight, Miina K. Öhman and Markus Schwaiger. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of the American College of Cardiology, Scientific Reports, Circulation 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.