Virginia H. Black
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders 6
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- Hormonal and reproductive studies 13
- Hormonal Regulation and Hypertension 11
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 11
- Reproductive Medicine top 10%
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol 4
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- Peroxisome Proliferator-Activated Receptors 9
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- Adipose Tissue and Metabolism 9
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- Eicosanoids and Hypertension Pharmacology 3
- Co-authors
- Amy ChristensenKumiko O. MartinJames J. RussoBruce BogartPaul B. LazarowTellervo HuimaNancy A. McNamaraRachel Brody
- Partner nations
- United StatesDenmarkUganda
In The Last Decade
Virginia H. Black
47 papers receiving 874 citations
Peers
Comparison fields: 5 of 91
- Clinical Biochemistry 167
- Endocrinology, Diabetes and Metabolism 264
- Pharmacology 138
- Reproductive Medicine 95
- Behavioral Neuroscience 38
Countries citing papers authored by Virginia H. Black
This map shows the geographic impact of Virginia H. Black'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 H. Black with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia H. Black more than expected).
Fields of papers citing papers by Virginia H. Black
This network shows the impact of papers produced by Virginia H. Black. 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 H. Black. The network helps show where Virginia H. Black may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Virginia H. Black, 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 | 2025 | 1 | |
| 2 | 2004 | 9 | |
| 3 | Automated Study Questions for Medical Students Using the Web | 2002 | 2 |
| 4 | 2002 | 5 | |
| 5 | 1998 | 1 | |
| 6 | 1997 | 6 | |
| 7 | 1996 | 6 | |
| 8 | 1995 | 3 | |
| 9 | 1992 | 3 | |
| 10 | 1991 | 4 | |
| 11 | 1990 | 13 | |
| 12 | 1989 | 20 | |
| 13 | 1989 | 13 | |
| 14 | 1988 | 12 | |
| 15 | 1988 | 14 | |
| 16 | 1988 | 3 | |
| 17 | 1988 | 14 | |
| 18 | 1984 | 4 | |
| 19 | 1972 | 1 | |
| 20 | 1969 | 102 |
About Virginia H. Black
Virginia H. Black is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 47 papers that have together received 939 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (13 papers), Pharmacogenetics and Drug Metabolism (11 papers), Hormonal Regulation and Hypertension (11 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Adipose Tissue and Metabolism (9 papers), Metabolism and Genetic Disorders (6 papers), Stress Responses and Cortisol (4 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). The work is most often cited by research in Clinical Biochemistry (167 citations), Endocrinology, Diabetes and Metabolism (264 citations) and Pharmacology (138 citations). Virginia H. Black has collaborated with scholars based in United States, Denmark and Uganda. Frequent co-authors include Amy Christensen, Kumiko O. Martin, James J. Russo, Bruce Bogart, Paul B. Lazarow, Tellervo Huima, Nancy A. McNamara, Rachel Brody, Hugo W. Moser and E. Robbins. Their work appears in journals such as Endocrinology, Endocrine Research, Pediatric Research, Annals of the New York 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.