Manish Kumar

4.0k citations
59 papers · 2.0k · h-index 18

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Mitochondrial Function and Pathology 6
    • Traumatic Brain Injury and Neurovascular Disturbances 8
    • Long-Term Effects of COVID-19 3

Manish Kumar

52 papers receiving 2.0k citations

Peers

Manish Kumar
Comparison fields: 5 of 118
  • Cancer Research 499
  • Genetics 236
  • Molecular Biology 1.1k
  • Immunology 307
  • Developmental Neuroscience 56
Replace Yang Yu with:
Yang Yu China
Mihail Eugen Hinescu Romania
Gualtiero I. Colombo Italy
Mika Sasaki Japan
Jacques R.R. Mathieu France
Moshi Song China
Huichun Xu United States
Alpa Trivedi United States
Hiroshi Sugiya Japan
Manish Kumar relative to Yang Yu China Yang Yu's profile →
Citations per field
00.5×1.5×2.2×
Yang Yu · 1×
Citations per year

Countries citing papers authored by Manish Kumar

Since Specialization
Citations

This map shows the geographic impact of Manish Kumar'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 Manish Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Kumar more than expected).

Fields of papers citing papers by Manish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manish Kumar. 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 Manish Kumar. The network helps show where Manish Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Manish Kumar, 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 Manish Kumar Line = papers co-authored together Manish Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014409
2 2011258
3 2013172
4 2009163
5 2013137
6 201797
7 201389
8 201283
9 202263
10 201259
11 201752
12 201850
13 201848
14 201945
15 202133
16 201930
17 200220
18 202019
19 201317
20 200216

About Manish Kumar

Manish Kumar is a scholar working on Molecular Biology, Neurology, Cancer Research, Infectious Diseases and Surgery, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Mitochondrial Function and Pathology (6 papers), COVID-19 Clinical Research Studies (6 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Long-Term Effects of COVID-19 (3 papers), Mesenchymal stem cell research (3 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Cancer Research (499 citations), Genetics (236 citations), Molecular Biology (1.1k citations), Immunology (307 citations) and Developmental Neuroscience (56 citations). Manish Kumar has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Anurag Agrawal, Balaram Ghosh, Ulaganathan Mabalirajan, Tanveer Ahmad, Bijay Pattnaik, Amit Sharma, Shravani Mukherjee, Soumya Sinha Roy, Brijendra K Tiwari and Suchita Singh. Their work appears in journals such as Scientific Reports, International Journal of Oncology, Stem Cell Research & Therapy, Proceedings of the National Academy of Sciences and American Journal of Respiratory Cell and Molecular Biology.

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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