Mukesh K. Jain
- Cancer Research top 5%
- Immunology top 5%
- Molecular Biology top 5%
- Kruppel-like factors research 34
- Peroxisome Proliferator-Activated Receptors 10
- Angiogenesis and VEGF in Cancer 7
- Cancer-related gene regulation 7
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
- Genetic Syndromes and Imprinting 6
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- Lipid metabolism and disorders 7
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- Cell Adhesion Molecules Research 7
- Co-authors
- Paul M. RidkerMark W. FeinbergZhiyong LinDaniel I. SimonGanapati H. MahabeleshwarSusan GrayAjay KumarSaptarsi M. Haldar
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (7 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Mukesh K. Jain
68 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 619
- Immunology 678
- Molecular Biology 2.2k
- Genetics 247
- Endocrine and Autonomic Systems 156
Countries citing papers authored by Mukesh K. Jain
This map shows the geographic impact of Mukesh K. 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 Mukesh K. Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh K. Jain more than expected).
Fields of papers citing papers by Mukesh K. Jain
This network shows the impact of papers produced by Mukesh K. 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 Mukesh K. Jain. The network helps show where Mukesh K. Jain may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mukesh K. Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 5 | |
| 3 | 2022 | 35 | |
| 4 | 2022 | 50 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 54 | |
| 9 | 2019 | 16 | |
| 10 | 2017 | 48 | |
| 11 | 2017 | 37 | |
| 12 | 2014 | 120 | |
| 13 | 2013 | 54 | |
| 14 | 2013 | 51 | |
| 15 | 2012 | 16 | |
| 16 | 2011 | 32 | |
| 17 | 2009 | 77 | |
| 18 | 2007 | 184 | |
| 19 | Anti-Inflammatory Effects of Statins: Clinical Evidence and Basic Mechanismsbreakdown → | 2005 | 730 |
| 20 | 2002 | 197 |
About Mukesh K. Jain
Mukesh K. Jain is a scholar working on Immunology and Allergy, Genetics and Molecular Biology, having authored 68 papers that have together received 4.1k indexed citations. Recurring topics across this work include Kruppel-like factors research (34 papers), Peroxisome Proliferator-Activated Receptors (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Lipid metabolism and disorders (7 papers), Angiogenesis and VEGF in Cancer (7 papers), Cancer-related gene regulation (7 papers), Cell Adhesion Molecules Research (7 papers) and Genetic Syndromes and Imprinting (6 papers). The work is most often cited by research in Cancer Research (619 citations), Immunology (678 citations) and Molecular Biology (2.2k citations). Mukesh K. Jain has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Paul M. Ridker, Mark W. Feinberg, Zhiyong Lin, Daniel I. Simon, Ganapati H. Mahabeleshwar, Susan Gray, Ajay Kumar, Saptarsi M. Haldar, Rongli Zhang and Anne Hamik. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.