Kumar Thakur

514 citations
7 papers · 187 · h-index 6

Impact in

    • Synthesis and biological activity
    • Catalytic C–H Functionalization Methods
    • Synthesis and Biological Evaluation
    • Synthesis and Catalytic Reactions
    • Multicomponent Synthesis of Heterocycles
    • Synthesis and Characterization of Heterocyclic Compounds
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Receptor Mechanisms and Signaling 2
    • Protein Tyrosine Phosphatases 1
    • Cytokine Signaling Pathways and Interactions 2

Kumar Thakur

7 papers receiving 180 citations

Peers

Kumar Thakur
Comparison fields: 5 of 37
  • Organic Chemistry 119
  • Oncology 47
  • Genetics 14
  • Computational Theory and Mathematics 20
  • Pharmacology 11
Replace David C. Ihle with:
David C. Ihle United States
Judith G. Deal United States
Raimon Puig de la Bellacasa Spain
Lynsie Almeida United States
Hiroshi Sakashita Japan
Annika Jenmalm Jensen Sweden
Andrew D. Cansfield United Kingdom
Daniel S. James United Kingdom
Antonio Mete United Kingdom
Carlos Zepeda‐Velázquez Canada
Kumar Thakur relative to David C. Ihle United States David C. Ihle's profile →
Citations per field
00.5×2.7×
David C. Ihle · 1×
Citations per year

Countries citing papers authored by Kumar Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 200650
2 201341
3 201138
4 200630
5 201317
6 201510
7 20171

About Kumar Thakur

Kumar Thakur is a scholar working on Molecular Biology, Oncology, Pharmacology, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 187 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Receptor Mechanisms and Signaling (2 papers), Medicinal Plant Pharmacodynamics Research (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper), Protein Tyrosine Phosphatases (1 paper), Computational Drug Discovery Methods (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Organic Chemistry (119 citations), Oncology (47 citations), Genetics (14 citations), Computational Theory and Mathematics (20 citations) and Pharmacology (11 citations). Kumar Thakur has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Kelly M. George, Biswanath De, Michael P. Clark, Roger G. Bookland, R. Bruce Diebold, Charles A. Omer, Les A. Dakin, Thomas W. Gero, Lisa Drew and David J. Del Valle. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters and ChemMedChem.

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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