William V. Everson
Impact in
- Cell Biology top 10%
- Caveolin-1 and cellular processes
- Parasitology top 10%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
Papers in
- Surgery 4
-
- Caveolin-1 and cellular processes 4
- Co-authors
- Eric J. Smart (5 shared papers)Xiang‐An Li (3 shared papers)Sergey V. Matveev (1 shared paper)Michael W. Ware (2 shared papers)Heather Lindquist (2 shared papers)Anna‐Lena Ström (1 shared paper)Jason W. Bennett (1 shared paper)Jianjun Zhai (1 shared paper)
- Journals
- American Journal of Obstetrics and Gynecology (3 papers)Trends in Cardiovascular Medicine (2 papers)Journal of Lipid Research (1 paper)Experimental and Toxicologic Pathology (1 paper)Gene (1 paper)
- Partner nations
- United States
In The Last Decade
William V. Everson
16 papers receiving 461 citations
Peers
Comparison fields: 5 of 87
- Cell Biology 159
- Parasitology 50
- Biochemistry 24
- Physiology 80
- Molecular Biology 208
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 | 80 | |
| 2 | 2001 | 79 | |
| 3 | 2001 | 62 | |
| 4 | 2009 | 55 | |
| 5 | 2003 | 41 | |
| 6 | 1988 | 28 | |
| 7 | 2006 | 23 | |
| 8 | 2007 | 18 | |
| 9 | 2005 | 15 | |
| 10 | 1993 | 14 | |
| 11 | 1988 | 12 | |
| 12 | 1992 | 12 | |
| 13 | 2002 | 12 | |
| 14 | 1997 | 10 | |
| 15 | 2004 | 8 | |
| 16 | 2011 | 3 |
About William V. Everson
William V. Everson is a scholar working on Surgery, Cell Biology, Physiology, Molecular Biology and Genetics, having authored 16 papers that have together received 472 indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (4 papers), Metabolism and Genetic Disorders (2 papers), Pregnancy and preeclampsia studies (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Lipid metabolism and disorders (2 papers), Estrogen and related hormone effects (2 papers), Enzyme Structure and Function (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Cell Biology (159 citations), Parasitology (50 citations), Biochemistry (24 citations), Physiology (80 citations) and Molecular Biology (208 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, Michael W. Ware, Heather Lindquist, Anna‐Lena Ström, Jason W. Bennett, Jianjun Zhai, J. P. Dubey and James T. White. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Trends in Cardiovascular Medicine, Journal of Lipid Research, Experimental and Toxicologic Pathology and Gene.
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.