Mukesh K. Jain

5.7k citations
68 papers · 4.1k indexed · 1 hit paper · h-index 38
Topics
Kruppel-like factors research (34 papers)Peroxisome Proliferator-Activated Receptors (10 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Mukesh K. Jain

68 papers receiving 4.1k citations

Hit Papers

Anti-Inflammatory Effects of Statins: Clinical Evidence a...20052026201220192005200400600

Peers

Mukesh K. Jain
Comparison fields: 5 of 125
  • Molecular Biology 2.2k
  • Immunology 678
  • Cancer Research 619
  • Surgery 589
  • Cardiology and Cardiovascular Medicine 491
Replace Matthew D. Layne with:
Matthew D. Layne United States
Keiko Yamauchi‐Takihara Japan
Enrico V. Avvedimento Italy
Liam J. Murphy Canada
Margareta Jernås Sweden
Nalini Raghavachari United States
Kyosuke Takeshita Japan
Jörn Karhausen United States
Dwight J. Klemm United States
Carmen Guerra Spain
Mukesh K. Jain relative to Matthew D. Layne United States Matthew D. Layne's profile →
Citations per field
00.5×1.5×
Matthew D. Layne · 1×
Citations per year

Countries citing papers authored by Mukesh K. Jain

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Mukesh K. Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh K. Jain. A scholar is included among the top collaborators of Mukesh K. 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 Mukesh K. Jain. Mukesh K. Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 5
3 35
4 50
5 6
6 16
7 20
8 54
9 16
10 48
11 37
12 120
13 54
14 51
15 16
16 32
17 77
18 184
19
Anti-Inflammatory Effects of Statins: Clinical Evidence and Basic Mechanismsbreakdown →
730
20 197

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) and Myeloproliferative Neoplasms: Diagnosis and Treatment (9 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.

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