Harish Kumar

400 citations
37 papers · 262 · h-index 11

Impact in

Papers in

    • Protein Degradation and Inhibitors 4
    • Metabolomics and Mass Spectrometry Studies 2
    • Synthesis and biological activity 9
    • Synthesis and Characterization of Heterocyclic Compounds 6
    • Synthesis and Reactions of Organic Compounds 3

Harish Kumar

33 papers receiving 260 citations

Peers

Harish Kumar
Comparison fields: 5 of 86
  • Molecular Medicine 13
  • Computational Theory and Mathematics 32
  • Pharmacology 15
  • Toxicology 5
  • Biomaterials 20
Replace Gowtham Kumar Subbaraj with:
Gowtham Kumar Subbaraj India
Swastika Maitra India
Kunal Bhattacharya India
Shikha Thakur India
Mohanapriya Arumugam India
Olufunke E. Olorundare Nigeria
Marcin Delijewski Poland
Suman Manandhar India
Anette Klinger Germany
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Citations per field
00.5×2×4×6×8×
Gowtham Kumar Subbaraj · 1×
Citations per year

Countries citing papers authored by Harish Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Harish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202239
2 202117
3 202516
4 201516
5 202016
6 202214
7 201813
8 202313
9 202212
10 202012
11 202310
12 202410
13 20239
14 20248
15 20148
16 20188
17 20237
18 20226
19 20235
20 20254

About Harish Kumar

Harish Kumar is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Pharmacology and Molecular Medicine, having authored 37 papers that have together received 262 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Synthesis and biological activity (9 papers), Synthesis and Characterization of Heterocyclic Compounds (6 papers), Protein Degradation and Inhibitors (4 papers), Curcumin's Biomedical Applications (4 papers), Synthesis and Reactions of Organic Compounds (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Molecular Medicine (13 citations), Computational Theory and Mathematics (32 citations), Pharmacology (15 citations), Toxicology (5 citations) and Biomaterials (20 citations). Harish Kumar has collaborated with scholars based in India, United States and Japan. Frequent co-authors include K. Sreedhara Ranganath Pai, Suman Manandhar, Usha Y. Nayak, Chetan Hasmukh Mehta, Shama Prasada Kabekkodu, Runali Sankhe, Vipin Kumar, Suvarna G. Kini, M. Elizabeth Sobhia and Neeraj Agrawal. Their work appears in journals such as Molecular Diversity, Journal of Biomolecular Structure and Dynamics, ACS Pharmacology & Translational Science, Blood and Current Topics in Medicinal 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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