Madhu Chauhan

948 citations
44 papers · 777 indexed · h-index 19

Madhu Chauhan

42 papers receiving 766 citations

Peers

Madhu Chauhan
Comparison fields: 5 of 77
  • Obstetrics and Gynecology 252
  • Cellular and Molecular Neuroscience 346
  • Endocrinology, Diabetes and Metabolism 142
  • Pediatrics, Perinatology and Child Health 156
  • Reproductive Medicine 66
Replace Yuan-Lin Dong with:
Yuan-Lin Dong United States
Uma Yallampalli United States
Robert F. Elder United States
Roland Jimenez United States
Takeyoshi Ohkura Japan
B. Velkeniers Belgium
Fang Guo China
Nilesh A. Patel United States
David L. Olive United States
Naci Çine Türkiye
Madhu Chauhan relative to Yuan-Lin Dong United States Yuan-Lin Dong's profile →
Citations per field
00.5×3.3×
Yuan-Lin Dong · 1×
Citations per year

Countries citing papers authored by Madhu Chauhan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Madhu Chauhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Madhu Chauhan Line = papers co-authored together Madhu Chauhan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 20164
4 20158
5 20149
6 201419
7 201320
8 201318
9
World of Medicinal Mushroom-An Overview
20121
10 201162
11 201117
12 201124
13 200933
14 200928
15 200731
16 200615
17 200631
18 200327
19 200255
20 19961

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), Hormonal Regulation and Hypertension (12 papers), Pregnancy and preeclampsia studies (11 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (9 papers), Reproductive System and Pregnancy (5 papers), Neuroendocrine regulation and behavior (4 papers) and Birth, Development, and Health (2 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.

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