Sushma Kumar
Impact in
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
- Ovarian function and disorders
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
- Gynecological conditions and treatments
Papers in
-
- Reproductive System and Pregnancy 5
-
- Reproductive Health and Contraception 4
- Co-authors
- Indrani C. Bagchi (5 shared papers)Milan K. Bagchi (3 shared papers)Régine Sitruk‐Ware (4 shared papers)Mary Polihronis (1 shared paper)David T. Baird (1 shared paper)Sharon Cameron (1 shared paper)Frederick Schatz (1 shared paper)Li-Ji Zhu (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (3 papers)Contraception (3 papers)Biology of Reproduction (1 paper)Seminars in Reproductive Medicine (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Sushma Kumar
11 papers receiving 315 citations
Peers
Comparison fields: 5 of 61
- Reproductive Medicine 131
- Obstetrics and Gynecology 60
- Immunology 148
- Public Health, Environmental and Occupational Health 107
- Agronomy and Crop Science 28
Countries citing papers authored by Sushma Kumar
This map shows the geographic impact of Sushma Kumar'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 Sushma Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushma Kumar more than expected).
Fields of papers citing papers by Sushma Kumar
This network shows the impact of papers produced by Sushma Kumar. 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 Sushma Kumar. The network helps show where Sushma Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sushma Kumar, 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 | 1998 | 97 | |
| 2 | 2007 | 68 | |
| 3 | 2011 | 42 | |
| 4 | 2001 | 40 | |
| 5 | 2007 | 32 | |
| 6 | 2001 | 20 | |
| 7 | 2007 | 13 | |
| 8 | 2003 | 12 | |
| 9 | 1999 | 7 | |
| 10 | 2014 | 5 | |
| 11 | 2012 | 1 |
About Sushma Kumar
Sushma Kumar is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Genetics, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 337 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (5 papers), Estrogen and related hormone effects (4 papers), Endometriosis Research and Treatment (4 papers), Reproductive Health and Contraception (4 papers), Maternal and fetal healthcare (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Uterine Myomas and Treatments (1 paper). The work is most often cited by research in Reproductive Medicine (131 citations), Obstetrics and Gynecology (60 citations), Immunology (148 citations), Public Health, Environmental and Occupational Health (107 citations) and Agronomy and Crop Science (28 citations). Sushma Kumar has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Indrani C. Bagchi, Milan K. Bagchi, Régine Sitruk‐Ware, Mary Polihronis, David T. Baird, Sharon Cameron, Frederick Schatz, Li-Ji Zhu, Jean‐Christophe Thalabard and Joël Ménard. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Contraception, Biology of Reproduction, Seminars in Reproductive Medicine and Endocrinology.
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.