Dileep Kumar

68 papers receiving 1.1k citations

Dileep Kumar's Hit Papers

Unveiling the link between chronic inflammation and cancer 2025 · 22 citations
220Years since publication5101520

Peers

Dileep Kumar
Comparison fields: 5 of 125
  • Pharmacology 216
  • Molecular Medicine 61
  • Computational Theory and Mathematics 138
  • Complementary and alternative medicine 69
  • Neurology 67
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Xing Xu China
Miriş Dikmen Türkiye
Antonina Azzolina Italy
Maria João Ramalho Portugal
Ranjeet Prasad Dash United States
Hwa Jin Lee South Korea
Dorota Wrześniok Poland
Sadiq Umar India
Haibo Xu China
Syed Sayeed Ahmad South Korea
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Countries citing papers authored by Dileep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Dileep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018129
2 201565
3 201263
4 202161
5 201749
6 202043
7 202141
8 201635
9 202233
10 201532
11 202132
12 202132
13 202230
14 202130
15 202129
16 202226
17 202225
18 201325
19 202224
20 202424

About Dileep Kumar

Dileep Kumar is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Computational Theory and Mathematics and Physiology, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Cholinesterase and Neurodegenerative Diseases (15 papers), Alzheimer's disease research and treatments (12 papers), Synthesis and biological activity (12 papers), Cancer, Lipids, and Metabolism (4 papers), Click Chemistry and Applications (4 papers), Cancer Mechanisms and Therapy (4 papers) and Multicomponent Synthesis of Heterocycles (4 papers). The work is most often cited by research in Pharmacology (216 citations), Molecular Medicine (61 citations), Computational Theory and Mathematics (138 citations), Complementary and alternative medicine (69 citations) and Neurology (67 citations). Dileep Kumar has collaborated with scholars based in India, United States and Portugal. Frequent co-authors include Sushil Kumar Singh, Dipanjan Karati, G. Jayarama Bhat, Rakesh Dachineni, Natália Martins, Kakasaheb Mahadik, Ankit Ganeshpurkar, Gyan Modi, Sanjeev Gupta and Devendra Kumar. Their work appears in journals such as Current Topics in Medicinal Chemistry, Journal of Biomolecular Structure and Dynamics, Molecular Neurobiology, Anti-Cancer Agents in Medicinal Chemistry and Indian Journal of Pharmaceutical Education and Research.

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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