Himansu Kumar

719 citations
42 papers · 495 · h-index 16

Impact in

Papers in

    • Gut microbiota and health 4
    • Bioinformatics and Genomic Networks 4
    • Genomics and Phylogenetic Studies 4
    • HER2/EGFR in Cancer Research 3

Himansu Kumar

38 papers receiving 489 citations

Peers

Himansu Kumar
Comparison fields: 5 of 86
  • Animal Science and Zoology 72
  • Molecular Biology 228
  • Hematology 30
  • Computational Theory and Mathematics 48
  • Cancer Research 32
Replace Toshimitsu Hatabu with:
Toshimitsu Hatabu Japan
R. Fortin Italy
Braden M. Roth United States
Jee Sun Min South Korea
ROBERT FINN United Kingdom
Sue S. Cross United States
Suresh Kumar India
Gianluca Paredi Italy
Prasannavenkatesh Durai South Korea
Md. Shahadat Hossain Bangladesh
Himansu Kumar relative to Toshimitsu Hatabu Japan Toshimitsu Hatabu's profile →
Citations per field
00.5×3.8×
Toshimitsu Hatabu · 1×
Citations per year

Countries citing papers authored by Himansu Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Himansu Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201643
2 201938
3 201532
4 202130
5 201929
6 201929
7 201726
8 202123
9 201521
10 201520
11 202018
12 201617
13 201916
14 201816
15 201516
16 202015
17 201313
18 201512
19 201910
20 202310

About Himansu Kumar

Himansu Kumar is a scholar working on Molecular Biology, Oncology, Plant Science, Animal Science and Zoology and Computational Theory and Mathematics, having authored 42 papers that have together received 495 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Computational Drug Discovery Methods (5 papers), Gut microbiota and health (4 papers), Bioinformatics and Genomic Networks (4 papers), Genomics and Phylogenetic Studies (4 papers), Probiotics and Fermented Foods (4 papers), Genetic and phenotypic traits in livestock (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Animal Science and Zoology (72 citations), Molecular Biology (228 citations), Hematology (30 citations), Computational Theory and Mathematics (48 citations) and Cancer Research (32 citations). Himansu Kumar has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Pritish Kumar Varadwaj, Utkarsh Raj, Saurabh Gupta, Jong‐Eun Park, Krishnamoorthy Srikanth, Dajeong Lim, Pora Kim, Jun‐Mo Kim, Woncheoul Park and A. R. Rao. Their work appears in journals such as Nucleic Acids Research, Journal of Biomolecular Structure and Dynamics, Animals, Briefings in Bioinformatics and Genes.

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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