Valery T. Miller
- Endocrinology, Diabetes and Metabolism top 0.5%
- Genetics top 1%
- Pathology and Forensic Medicine top 2%
- Public Health, Environmental and Occupational Health top 5%
- Surgery top 10%
- Co-authors
- Richard A. MuesingJohn C. LaRosaDonald B. HunninghakeDiane B. StoyMark A. EspelandJonathan A. TobertEvan A. SteinCarlos A. Dujovne
- Topics
- Menopause: Health Impacts and Treatments (9 papers)Estrogen and related hormone effects (8 papers)Lipoproteins and Cardiovascular Health (6 papers)
- Partner nations
- United StatesCameroonBrazil
In The Last Decade
Valery T. Miller
18 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 1.9k
- Genetics 1.4k
- Pathology and Forensic Medicine 489
- Public Health, Environmental and Occupational Health 419
- Surgery 392
Countries citing papers authored by Valery T. Miller
This map shows the geographic impact of Valery T. Miller'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 Valery T. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valery T. Miller more than expected).
Fields of papers citing papers by Valery T. Miller
This network shows the impact of papers produced by Valery T. Miller. 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 Valery T. Miller. The network helps show where Valery T. Miller may publish in the future.
Co-authorship network of co-authors of Valery T. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Valery T. Miller. A scholar is included among the top collaborators of Valery T. Miller 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 Valery T. Miller. Valery T. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 155 | |
| 3 | 34 | |
| 4 | 27 | |
| 5 | 50 | |
| 6 | 19 | |
| 7 | Effects of Estrogen or Estrogen/ Progestin Regimens on Heart Disease Risk Factors in Postmenopausal Womenbreakdown → | 1828 |
| 8 | 42 | |
| 9 | 37 | |
| 10 | 21 | |
| 11 | 2 | |
| 12 | 212 | |
| 13 | 15 | |
| 14 | 34 | |
| 15 | 92 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 26 | |
| 19 | 46 |
About Valery T. Miller
Valery T. Miller is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 19 papers that have together received 2.7k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (9 papers), Estrogen and related hormone effects (8 papers) and Lipoproteins and Cardiovascular Health (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Genetics (1.4k citations) and Reproductive Medicine (250 citations). Valery T. Miller has collaborated with scholars based in United States, Cameroon and Brazil. Frequent co-authors include Richard A. Muesing, John C. LaRosa, Donald B. Hunninghake, Diane B. Stoy, Mark A. Espeland, Jonathan A. Tobert, Evan A. Stein, Carlos A. Dujovne, Peter D. Wood and Helmut G. Schrott. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.