Richard A. Eigenheer
Impact in
- Endocrinology top 5%
- Immunology top 10%
- Invertebrate Immune Response Mechanisms
- Immune Response and Inflammation
Papers in
-
- Plant Reproductive Biology 2
- Ubiquitin and proteasome pathways 2
-
- Skin and Cellular Biology Research 4
- Co-authors
- Brett S. Phinney (11 shared papers)Sue W. Nicolson (3 shared papers)David A. Schooley (3 shared papers)Eduardo Blumwald (3 shared papers)Robert H. Rice (5 shared papers)Angie Gelli (2 shared papers)Andreas J. Bäumler (2 shared papers)Maria G. Winter (2 shared papers)
- Journals
- PLoS ONE (2 papers)Journal of Proteome Research (2 papers)Molecular Biology and Evolution (1 paper)Journal of Experimental Biology (1 paper)PeerJ (1 paper)
- Partner nations
- United StatesSouth AfricaAustria
In The Last Decade
Richard A. Eigenheer
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Endocrinology 75
- Immunology 211
- Cell Biology 162
- Urology 51
- Insect Science 103
Countries citing papers authored by Richard A. Eigenheer
This map shows the geographic impact of Richard A. Eigenheer'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 Richard A. Eigenheer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Eigenheer more than expected).
Fields of papers citing papers by Richard A. Eigenheer
This network shows the impact of papers produced by Richard A. Eigenheer. 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 Richard A. Eigenheer. The network helps show where Richard A. Eigenheer may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard A. Eigenheer, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 180 | |
| 2 | 2013 | 119 | |
| 3 | 2014 | 105 | |
| 4 | 2011 | 99 | |
| 5 | 2001 | 65 | |
| 6 | 2007 | 60 | |
| 7 | 2013 | 60 | |
| 8 | 2014 | 54 | |
| 9 | 2013 | 51 | |
| 10 | 2002 | 50 | |
| 11 | 2014 | 44 | |
| 12 | 2010 | 39 | |
| 13 | 2003 | 33 | |
| 14 | 2013 | 29 | |
| 15 | 2010 | 24 | |
| 16 | 2012 | 24 | |
| 17 | 2009 | 21 | |
| 18 | 2015 | 19 | |
| 19 | 2015 | 16 | |
| 20 | 2013 | 15 |
About Richard A. Eigenheer
Richard A. Eigenheer is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Cellular and Molecular Neuroscience and Epidemiology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (4 papers), Neurobiology and Insect Physiology Research (3 papers), Insect Utilization and Effects (2 papers), Antifungal resistance and susceptibility (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Fungal Infections and Studies (2 papers), Plant Reproductive Biology (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Endocrinology (75 citations), Immunology (211 citations), Cell Biology (162 citations), Urology (51 citations) and Insect Science (103 citations). Richard A. Eigenheer has collaborated with scholars based in United States, South Africa and Austria. Frequent co-authors include Brett S. Phinney, Sue W. Nicolson, David A. Schooley, Eduardo Blumwald, Robert H. Rice, Angie Gelli, Andreas J. Bäumler, Maria G. Winter, Renée M. Tsolis and A. Marijke Keestra. Their work appears in journals such as PLoS ONE, Journal of Proteome Research, Molecular Biology and Evolution, Journal of Experimental Biology and PeerJ.
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.