Nalini Gupta
- Molecular Biology
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Reproductive Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Lalji SinghBaidyanath ChakravartyKumarasamy ThangarajVenkata PadmalathaHridesh DixitMurthy KanakavalliAlla G. ReddyMamata Deenadayal
- Topics
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (21 papers)Sexual Differentiation and Disorders (16 papers)Hormonal and reproductive studies (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiomaterialsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- IndiaGermanyUnited Kingdom
In The Last Decade
Nalini Gupta
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 559
- Genetics 484
- Public Health, Environmental and Occupational Health 435
- Reproductive Medicine 405
- Endocrinology, Diabetes and Metabolism 126
Countries citing papers authored by Nalini Gupta
This map shows the geographic impact of Nalini Gupta'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 Nalini Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nalini Gupta more than expected).
Fields of papers citing papers by Nalini Gupta
This network shows the impact of papers produced by Nalini Gupta. 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 Nalini Gupta. The network helps show where Nalini Gupta may publish in the future.
Co-authorship network of co-authors of Nalini Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Nalini Gupta. A scholar is included among the top collaborators of Nalini Gupta 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 Nalini Gupta. Nalini Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | Nucleotide comparison of GDF9 gene in Indian Yak and Gaddi goat: high altitude livestock animals. | 1 |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 15 | |
| 12 | 47 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 23 | |
| 16 | 23 | |
| 17 | 23 | |
| 18 | 26 | |
| 19 | Prevalence Of Hepatitis C Antibodies In Healthy Blood Donors | 3 |
| 20 | 154 |
About Nalini Gupta
Nalini Gupta is a scholar working on Reproductive Medicine, Genetics and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (21 papers), Sexual Differentiation and Disorders (16 papers) and Hormonal and reproductive studies (11 papers). The work is most often cited by research in Reproductive Medicine (405 citations), Genetics (484 citations) and Public Health, Environmental and Occupational Health (435 citations). Nalini Gupta has collaborated with scholars based in India, Germany and United Kingdom. Frequent co-authors include Lalji Singh, Baidyanath Chakravarty, Kumarasamy Thangaraj, Venkata Padmalatha, Hridesh Dixit, Murthy Kanakavalli, Alla G. Reddy, Mamata Deenadayal, Manjunath B. Joshi and Deepa Selvi Rani. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and The Journal of Clinical Endocrinology & Metabolism.
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.