Abha Majumdar
- Reproductive Medicine top 5%
- Public Health, Environmental and Occupational Health top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Co-authors
- Sangita SharmaI. C. VermaKailash C. UpadhyayaRenu SaxenaIshwar C. VermaAriel WeissmanShikha JainDeepak Chawla
- Topics
- Ovarian function and disorders (17 papers)Reproductive Biology and Fertility (15 papers)Assisted Reproductive Technology and Twin Pregnancy (12 papers)
- Cited by
- Reproductive MedicinePediatrics, Perinatology and Child HealthPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Obstetrics & Gynecology and Reproductive BiologyJournal of Assisted Reproduction and Genetics
- Partner nations
- IndiaPakistanUnited States
In The Last Decade
Abha Majumdar
26 papers receiving 382 citations
Peers
Comparison fields: 5 of 67
- Reproductive Medicine 216
- Public Health, Environmental and Occupational Health 194
- Pediatrics, Perinatology and Child Health 131
- Endocrinology, Diabetes and Metabolism 73
- Molecular Biology 54
Countries citing papers authored by Abha Majumdar
This map shows the geographic impact of Abha Majumdar'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 Abha Majumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abha Majumdar more than expected).
Fields of papers citing papers by Abha Majumdar
This network shows the impact of papers produced by Abha Majumdar. 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 Abha Majumdar. The network helps show where Abha Majumdar may publish in the future.
Co-authorship network of co-authors of Abha Majumdar
This figure shows the co-authorship network connecting the top 25 collaborators of Abha Majumdar. A scholar is included among the top collaborators of Abha Majumdar 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 Abha Majumdar. Abha Majumdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 45 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 24 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 46 | |
| 13 | 131 | |
| 14 | 0 | |
| 15 | 18 | |
| 16 | Anti-Mullerian hormone as a predictor of ovarian response to controlled ovarian stimulation | 1 |
| 17 | 9 | |
| 18 | 16 | |
| 19 | 2 | |
| 20 | 11 |
About Abha Majumdar
Abha Majumdar is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 32 papers that have together received 402 indexed citations. Recurring topics across this work include Ovarian function and disorders (17 papers), Reproductive Biology and Fertility (15 papers) and Assisted Reproductive Technology and Twin Pregnancy (12 papers). The work is most often cited by research in Reproductive Medicine (216 citations), Pediatrics, Perinatology and Child Health (131 citations) and Public Health, Environmental and Occupational Health (194 citations). Abha Majumdar has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include Sangita Sharma, I. C. Verma, Kailash C. Upadhyaya, Renu Saxena, Ishwar C. Verma, Ariel Weissman, Shikha Jain, Deepak Chawla, Milton Leong and Zeev Shoham. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Obstetrics & Gynecology and Reproductive Biology and Journal of Assisted Reproduction and Genetics.
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.