Melissa Kahsar-Miller

9 papers receiving 1.7k citations

Hit Papers

Prevalence of the Polycystic Ovary Syndrome in Unselected...199820262007201619984008001.2k

Peers

Melissa Kahsar-Miller
Comparison fields: 5 of 66
  • Reproductive Medicine 1.6k
  • Public Health, Environmental and Occupational Health 1.1k
  • Endocrinology, Diabetes and Metabolism 399
  • Cardiology and Cardiovascular Medicine 287
  • Molecular Biology 198
Replace Rosario Reyna with:
Rosario Reyna United States
Chryssa Kouli Greece
Larisa Gavrilova‐Jordan United States
Daniela Romualdi Italy
Riitta Koivunen Finland
Olivier Valkenburg Netherlands
T Hamer United States
A Czyźyk Poland
Maria Concetta Musacchio Italy
Soulmaz Shorakae Australia
Melissa Kahsar-Miller relative to Rosario Reyna United States Rosario Reyna's profile →
Citations per field
00.5×1.5×
Rosario Reyna · 1×
Citations per year

Countries citing papers authored by Melissa Kahsar-Miller

Since Specialization
Citations

This map shows the geographic impact of Melissa Kahsar-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 Melissa Kahsar-Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Kahsar-Miller more than expected).

Fields of papers citing papers by Melissa Kahsar-Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Kahsar-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 Melissa Kahsar-Miller. The network helps show where Melissa Kahsar-Miller may publish in the future.

Co-authorship network of co-authors of Melissa Kahsar-Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Kahsar-Miller. A scholar is included among the top collaborators of Melissa Kahsar-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 Melissa Kahsar-Miller. Melissa Kahsar-Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 38
2 32
3 4
4 20
5 285
6 17
7 19
8 46
9
Prevalence of the Polycystic Ovary Syndrome in Unselected Black and White Women of the Southeastern United States: A Prospective Study1breakdown →
1299

About Melissa Kahsar-Miller

Melissa Kahsar-Miller is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ovarian function and disorders (9 papers), Reproductive Biology and Fertility (7 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Reproductive Medicine (1.6k citations), Public Health, Environmental and Occupational Health (1.1k citations) and Endocrinology, Diabetes and Metabolism (399 citations). Melissa Kahsar-Miller has collaborated with scholars based in United States. Frequent co-authors include Ricardo Azziz, Eric S. Knochenhauer, Timothy J. Key, L.R. Boots, Larry R. Boots, Rodney C.P. Go, Selma F. Witchel, Christopher E. Aston, Alfred A. Bartolucci and Eleanor Feingold. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Obstetrics and Gynecology and Fertility and Sterility.

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.

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