Virginia L. Willour
- Genetics top 2%
- Molecular Biology
- Psychiatry and Mental health top 2%
- Cellular and Molecular Neuroscience top 5%
- Clinical Psychology top 5%
- Co-authors
- James B. PotashJ. Raymond DePauloPeter P. ZandiDean F. MacKinnonMelvin G. McInnisFrancis J. McMahonElliot S. GershonYuqing Huo
- Topics
- Genetic Associations and Epidemiology (16 papers)Genetics and Neurodevelopmental Disorders (14 papers)Bipolar Disorder and Treatment (12 papers)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Virginia L. Willour
45 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 93
- Genetics 788
- Molecular Biology 665
- Psychiatry and Mental health 608
- Cellular and Molecular Neuroscience 408
- Clinical Psychology 346
Countries citing papers authored by Virginia L. Willour
This map shows the geographic impact of Virginia L. Willour'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 Virginia L. Willour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia L. Willour more than expected).
Fields of papers citing papers by Virginia L. Willour
This network shows the impact of papers produced by Virginia L. Willour. 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 Virginia L. Willour. The network helps show where Virginia L. Willour may publish in the future.
Co-authorship network of co-authors of Virginia L. Willour
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia L. Willour. A scholar is included among the top collaborators of Virginia L. Willour based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Virginia L. Willour. Virginia L. Willour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 26 | |
| 5 | 9 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | 49 | |
| 9 | 20 | |
| 10 | 23 | |
| 11 | 166 | |
| 12 | 34 | |
| 13 | 13 | |
| 14 | 37 | |
| 15 | 108 | |
| 16 | 34 | |
| 17 | 35 | |
| 18 | 30 | |
| 19 | Genome scan on fifty-six multiplex bipolar pedigrees collected by the NIMH Genetics Initiative (Bipolar Disorder) | 1 |
| 20 | 41 |
About Virginia L. Willour
Virginia L. Willour is a scholar working on Biological Psychiatry, Genetics and Psychiatry and Mental health, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (16 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Bipolar Disorder and Treatment (12 papers). The work is most often cited by research in Biological Psychiatry (179 citations), Behavioral Neuroscience (240 citations) and Psychiatry and Mental health (608 citations). Virginia L. Willour has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include James B. Potash, J. Raymond DePaulo, Peter P. Zandi, Dean F. MacKinnon, Melvin G. McInnis, Francis J. McMahon, Elliot S. Gershon, Yuqing Huo, David R. Cox and Janet A. Warrington. Their work appears in journals such as Science, PLoS ONE and American Journal of Psychiatry.
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.