Daniel E. Vaughn
Impact in
- Hematology top 5%
- Iron Metabolism and Disorders
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Diabetes Management and Research 10
- Diabetes Treatment and Management 2
-
- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Pamela J. Björkman (8 shared papers)Douglas B. Muchmore (10 shared papers)Peter M. Snow (1 shared paper)Gabriel A. Mintier (1 shared paper)John N. Feder (1 shared paper)Arthur J. Chirino (1 shared paper)José Antonio Lebrón (1 shared paper)Xiaodong Su (1 shared paper)
- Journals
- Diabetes Technology & Therapeutics (3 papers)Journal of Molecular Biology (3 papers)Diabetes Care (2 papers)Journal of Diabetes Science and Technology (2 papers)Molecular Cell (1 paper)
- Partner nations
- United StatesSwedenBelgium
In The Last Decade
Daniel E. Vaughn
20 papers receiving 1.4k citations
Daniel E. Vaughn's Hit Papers
Peers
Comparison fields: 5 of 83
- Hematology 400
- Immunology and Allergy 66
- Radiology, Nuclear Medicine and Imaging 282
- Endocrinology, Diabetes and Metabolism 172
- Immunology 169
Countries citing papers authored by Daniel E. Vaughn
This map shows the geographic impact of Daniel E. Vaughn'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 E. Vaughn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Vaughn more than expected).
Fields of papers citing papers by Daniel E. Vaughn
This network shows the impact of papers produced by Daniel E. Vaughn. 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 E. Vaughn. The network helps show where Daniel E. Vaughn may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Vaughn, 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 | Crystal Structure of the Hemochromatosis Protein HFE and Characterization of Its Interaction with Transferrin Receptor Hit paper breakdown → | 1998 | 532 |
| 2 | 1998 | 159 | |
| 3 | 1998 | 153 | |
| 4 | 1996 | 94 | |
| 5 | 1997 | 83 | |
| 6 | 2000 | 75 | |
| 7 | 1997 | 71 | |
| 8 | 2012 | 52 | |
| 9 | 2009 | 39 | |
| 10 | 2011 | 39 | |
| 11 | 2010 | 38 | |
| 12 | 2011 | 36 | |
| 13 | 2009 | 34 | |
| 14 | 1998 | 18 | |
| 15 | 2011 | 17 | |
| 16 | 2011 | 15 | |
| 17 | 2014 | 9 | |
| 18 | 2011 | 7 | |
| 19 | 1994 | 2 | |
| 20 | 2014 | 1 |
About Daniel E. Vaughn
Daniel E. Vaughn is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Materials Chemistry and Anesthesiology and Pain Medicine, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes Management and Research (10 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (2 papers), Diabetes Treatment and Management (2 papers), Cervical Cancer and HPV Research (1 paper), Iron Metabolism and Disorders (1 paper) and Pain Management and Opioid Use (1 paper). The work is most often cited by research in Hematology (400 citations), Immunology and Allergy (66 citations), Radiology, Nuclear Medicine and Imaging (282 citations), Endocrinology, Diabetes and Metabolism (172 citations) and Immunology (169 citations). Daniel E. Vaughn has collaborated with scholars based in United States, Sweden and Belgium. Frequent co-authors include Pamela J. Björkman, Douglas B. Muchmore, Peter M. Snow, Gabriel A. Mintier, John N. Feder, Arthur J. Chirino, José Antonio Lebrón, Xiaodong Su, Pak H. Poon and Linda Morrow. Their work appears in journals such as Diabetes Technology & Therapeutics, Journal of Molecular Biology, Diabetes Care, Journal of Diabetes Science and Technology and Molecular Cell.
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.