Mark Yeager
Impact in
- Endocrinology top 5%
- Virology top 5%
Papers in
-
- Connexins and lens biology 5
- Lipid Membrane Structure and Behavior 2
-
- Viral gastroenteritis research and epidemiology 5
- Co-authors
- Bruce J. Nicholson (1 shared paper)John A. Tainer (2 shared papers)A.S. Arvai (2 shared papers)Lisa Craig (2 shared papers)Michael E. Pique (2 shared papers)Norton B. Gilula (2 shared papers)Vinzenz M. Unger (2 shared papers)Edward H. Egelman (1 shared paper)
- Journals
- Journal of Molecular Biology (3 papers)Molecular Cell (2 papers)Current Opinion in Structural Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesGermanyNew Zealand
In The Last Decade
Mark Yeager
24 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 124
- Endocrinology 143
- Virology 129
- Infectious Diseases 468
- Structural Biology 32
- Genetics 582
Countries citing papers authored by Mark Yeager
This map shows the geographic impact of Mark Yeager'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 Mark Yeager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Yeager more than expected).
Fields of papers citing papers by Mark Yeager
This network shows the impact of papers produced by Mark Yeager. 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 Mark Yeager. The network helps show where Mark Yeager may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Yeager, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 324 | |
| 2 | 1993 | 291 | |
| 3 | 2003 | 238 | |
| 4 | 1996 | 160 | |
| 5 | 1998 | 155 | |
| 6 | 2005 | 141 | |
| 7 | 1992 | 114 | |
| 8 | 1998 | 110 | |
| 9 | 2005 | 96 | |
| 10 | 1998 | 92 | |
| 11 | 1996 | 75 | |
| 12 | 2007 | 71 | |
| 13 | 2001 | 48 | |
| 14 | 2005 | 41 | |
| 15 | 2006 | 37 | |
| 16 | 1999 | 36 | |
| 17 | 1994 | 11 | |
| 18 | 2008 | 10 | |
| 19 | 2006 | 6 | |
| 20 | 2010 | 5 |
About Mark Yeager
Mark Yeager is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Ecology and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 2.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (5 papers), Connexins and lens biology (5 papers), Virus-based gene therapy research (4 papers), Bacteriophages and microbial interactions (3 papers), HIV Research and Treatment (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Plant nutrient uptake and metabolism (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Endocrinology (143 citations), Virology (129 citations), Infectious Diseases (468 citations), Structural Biology (32 citations) and Genetics (582 citations). Mark Yeager has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include Bruce J. Nicholson, John A. Tainer, A.S. Arvai, Lisa Craig, Michael E. Pique, Norton B. Gilula, Vinzenz M. Unger, Edward H. Egelman, Niels Volkmann and Matthias M. Falk. Their work appears in journals such as Journal of Molecular Biology, Molecular Cell, Current Opinion in Structural Biology, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.
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.