Mukul R. Jain
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Organic Chemistry top 5%
- Surgery top 10%
- Co-authors
- Amit JoharapurkarPankaj PatelVishal PatelRajesh BahekarSamadhan KshirsagarSuresh GiriPushpa S. KalraNirav Dhanesha
- Topics
- Diabetes Treatment and Management (27 papers)Neuropeptides and Animal Physiology (18 papers)Peroxisome Proliferator-Activated Receptors (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaDiabetesScientific Reports
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Mukul R. Jain
175 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 688
- Epidemiology 533
- Organic Chemistry 524
- Surgery 444
Countries citing papers authored by Mukul R. Jain
This map shows the geographic impact of Mukul R. Jain'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 Mukul R. Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukul R. Jain more than expected).
Fields of papers citing papers by Mukul R. Jain
This network shows the impact of papers produced by Mukul R. Jain. 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 Mukul R. Jain. The network helps show where Mukul R. Jain may publish in the future.
Co-authorship network of co-authors of Mukul R. Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Mukul R. Jain. A scholar is included among the top collaborators of Mukul R. Jain 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 Mukul R. Jain. Mukul R. Jain 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 94 | |
| 12 | 28 | |
| 13 | Novel model for renal failure and anaemia induced by 5/6 nephrectomy in wistar rat. | 1 |
| 14 | 38 | |
| 15 | 20 | |
| 16 | 21 | |
| 17 | 33 | |
| 18 | 53 | |
| 19 | SAR and antiobesity effect of Diaryl dihydropyrazole-3-carboxamides class of CB1 receptor antagonists | 1 |
| 20 | 35 |
About Mukul R. Jain
Mukul R. Jain is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Pharmacology, having authored 185 papers that have together received 3.4k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (27 papers), Neuropeptides and Animal Physiology (18 papers) and Peroxisome Proliferator-Activated Receptors (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (688 citations), Endocrine and Autonomic Systems (265 citations) and Molecular Biology (1.3k citations). Mukul R. Jain has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Amit Joharapurkar, Pankaj Patel, Vishal Patel, Rajesh Bahekar, Samadhan Kshirsagar, Suresh Giri, Pushpa S. Kalra, Nirav Dhanesha, Dipam Patel and Gaurang Shah. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes and Scientific Reports.
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.