Neeta Singh
- Molecular Biology
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Surgery top 10%
- Immunology top 10%
- Co-authors
- Mayank SinghSuneeta MittalSudip SenHimani SharmaNeena MalhotraVinod KochupillaiPerumal VanamailArchna Singh
- Topics
- Ovarian function and disorders (26 papers)Reproductive Biology and Fertility (25 papers)Assisted Reproductive Technology and Twin Pregnancy (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyCancer Research
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Neeta Singh
105 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 625
- Reproductive Medicine 509
- Public Health, Environmental and Occupational Health 418
- Surgery 293
- Immunology 252
Countries citing papers authored by Neeta Singh
This map shows the geographic impact of Neeta Singh'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 Neeta Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeta Singh more than expected).
Fields of papers citing papers by Neeta Singh
This network shows the impact of papers produced by Neeta Singh. 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 Neeta Singh. The network helps show where Neeta Singh may publish in the future.
Co-authorship network of co-authors of Neeta Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Neeta Singh. A scholar is included among the top collaborators of Neeta Singh 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 Neeta Singh. Neeta Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 39 | |
| 4 | 19 | |
| 5 | 26 | |
| 6 | 22 | |
| 7 | 11 | |
| 8 | 26 | |
| 9 | 42 | |
| 10 | 14 | |
| 11 | 28 | |
| 12 | 27 | |
| 13 | 21 | |
| 14 | 29 | |
| 15 | 17 | |
| 16 | 74 | |
| 17 | Diffuse multifocal chorangiomatosis of the placenta with multiple intestinal stenosis of the fetus: combination of rare causes for nonimmune hydrops fetalis. | 2 |
| 18 | Identification of differentially expressed genes in human lung squamous cell carcinoma in Asian Indians using suppression subtractive hybridization | 1 |
| 19 | 32 | |
| 20 | 41 |
About Neeta Singh
Neeta Singh is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 112 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ovarian function and disorders (26 papers), Reproductive Biology and Fertility (25 papers) and Assisted Reproductive Technology and Twin Pregnancy (14 papers). The work is most often cited by research in Reproductive Medicine (509 citations), Obstetrics and Gynecology (245 citations) and Molecular Medicine (113 citations). Neeta Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Mayank Singh, Suneeta Mittal, Sudip Sen, Himani Sharma, Neena Malhotra, Vinod Kochupillai, Perumal Vanamail, Neena Malhotra, Archna Singh and Narendra Kumar Bhardwaj. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Cancer Research.
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.