Madhu Chauhan
- Cellular and Molecular Neuroscience top 5%
- Obstetrics and Gynecology top 2%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 10%
- Immunology
- Co-authors
- Chandra YallampalliGary D.V. HankinsUma YallampalliYuan-Lin DongMeena BalakrishnanPandu R. GangulaSunil J. WimalawansaSudhir B. Kondapaka
- Topics
- Neuropeptides and Animal Physiology (30 papers)Receptor Mechanisms and Signaling (15 papers)Hormonal Regulation and Hypertension (12 papers)
- Cited by
- Obstetrics and GynecologyCellular and Molecular NeuroscienceEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Madhu Chauhan
42 papers receiving 766 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 346
- Obstetrics and Gynecology 252
- Molecular Biology 237
- Pediatrics, Perinatology and Child Health 156
- Immunology 144
Countries citing papers authored by Madhu Chauhan
This map shows the geographic impact of Madhu Chauhan'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 Madhu Chauhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhu Chauhan more than expected).
Fields of papers citing papers by Madhu Chauhan
This network shows the impact of papers produced by Madhu Chauhan. 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 Madhu Chauhan. The network helps show where Madhu Chauhan may publish in the future.
Co-authorship network of co-authors of Madhu Chauhan
This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Chauhan. A scholar is included among the top collaborators of Madhu Chauhan 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 Madhu Chauhan. Madhu Chauhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | 20 | |
| 8 | 18 | |
| 9 | World of Medicinal Mushroom-An Overview | 1 |
| 10 | 62 | |
| 11 | 17 | |
| 12 | 24 | |
| 13 | 33 | |
| 14 | 28 | |
| 15 | 31 | |
| 16 | 15 | |
| 17 | 31 | |
| 18 | 27 | |
| 19 | 55 | |
| 20 | 1 |
About Madhu Chauhan
Madhu Chauhan is a scholar working on Cellular and Molecular Neuroscience, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 777 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (30 papers), Receptor Mechanisms and Signaling (15 papers) and Hormonal Regulation and Hypertension (12 papers). The work is most often cited by research in Obstetrics and Gynecology (252 citations), Cellular and Molecular Neuroscience (346 citations) and Endocrinology, Diabetes and Metabolism (142 citations). Madhu Chauhan has collaborated with scholars based in United States, India and France. Frequent co-authors include Chandra Yallampalli, Gary D.V. Hankins, Uma Yallampalli, Yuan-Lin Dong, Meena Balakrishnan, Pandu R. Gangula, Sunil J. Wimalawansa, Sudhir B. Kondapaka, Michael A. Belfort and Gracious R. Ross. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemistry 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.