William V. Everson
Impact in
- Cell Biology top 10%
- Caveolin-1 and cellular processes
- Parasitology top 10%
- Parasitic Infections and Diagnostics
- Toxoplasma gondii Research Studies
Papers in
-
- Caveolin-1 and cellular processes 6
- Co-authors
- Eric J. Smart (7 shared papers)Xiang‐An Li (3 shared papers)Sergey V. Matveev (1 shared paper)Heather Lindquist (2 shared papers)Michael W. Ware (2 shared papers)Jason W. Bennett (1 shared paper)J. P. Dubey (1 shared paper)Haining Zhu (1 shared paper)
- Journals
- American Journal of Obstetrics and Gynecology (3 papers)Trends in Cardiovascular Medicine (2 papers)Journal of Lipid Research (1 paper)Advanced Drug Delivery Reviews (1 paper)Connective Tissue Research (1 paper)
- Partner nations
- United States
In The Last Decade
William V. Everson
18 papers receiving 498 citations
Peers
Comparison fields: 5 of 86
- Cell Biology 171
- Parasitology 59
- Biochemistry 26
- Physiology 79
- Molecular Biology 219
Countries citing papers authored by William V. Everson
This map shows the geographic impact of William V. Everson'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 William V. Everson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William V. Everson more than expected).
Fields of papers citing papers by William V. Everson
This network shows the impact of papers produced by William V. Everson. 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 William V. Everson. The network helps show where William V. Everson may publish in the future.
Co-authors
The 25 scholars most cited alongside William V. Everson, 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 | 2005 | 87 | |
| 2 | 2001 | 87 | |
| 3 | 2001 | 66 | |
| 4 | 2009 | 56 | |
| 5 | 2003 | 50 | |
| 6 | 1988 | 31 | |
| 7 | 2006 | 25 | |
| 8 | 2007 | 18 | |
| 9 | 1993 | 16 | |
| 10 | 2005 | 15 | |
| 11 | 2002 | 13 | |
| 12 | 1992 | 13 | |
| 13 | 1988 | 12 | |
| 14 | 1997 | 10 | |
| 15 | 2004 | 9 | |
| 16 | 2005 | 8 | |
| 17 | 2011 | 4 | |
| 18 | 2007 | 1 |
About William V. Everson
William V. Everson is a scholar working on Cell Biology, Molecular Biology, Surgery, Physiology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 521 indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (6 papers), Lipid metabolism and disorders (3 papers), Metabolism and Genetic Disorders (2 papers), Parasitic Infections and Diagnostics (2 papers), Cholesterol and Lipid Metabolism (2 papers), Toxoplasma gondii Research Studies (2 papers), Enzyme Structure and Function (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Cell Biology (171 citations), Parasitology (59 citations), Biochemistry (26 citations), Physiology (79 citations) and Molecular Biology (219 citations). William V. Everson has collaborated with scholars based in United States. Frequent co-authors include Eric J. Smart, Xiang‐An Li, Sergey V. Matveev, Heather Lindquist, Michael W. Ware, Jason W. Bennett, J. P. Dubey, Haining Zhu, Jianjun Zhai and Anna‐Lena Ström. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Trends in Cardiovascular Medicine, Journal of Lipid Research, Advanced Drug Delivery Reviews and Connective Tissue Research.
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.