Hemantkumar Deokar

449 citations
20 papers · 380 · h-index 11

Impact in

Papers in

Hemantkumar Deokar

19 papers receiving 372 citations

Peers

Hemantkumar Deokar
Comparison fields: 5 of 66
  • Organic Chemistry 148
  • Toxicology 15
  • Computational Theory and Mathematics 67
  • Molecular Biology 228
  • Pharmacology 47
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Citations per year

Countries citing papers authored by Hemantkumar Deokar

Since Specialization
Citations

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

Fields of papers citing papers by Hemantkumar Deokar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201096
2 200951
3 200642
4 201430
5 201325
6 201821
7 201716
8 201816
9 202015
10 202214
11 200814
12 202010
13 20138
14 20117
15 20146
16 20114
17
ANTI-INFLAMMATORY AND ANALGESIC ACTIVITY OF 4'-METHYLBIPHENYL-2- (SUBSTITUTED PHENYL) CARBOXAMIDE ANALOGS IN ANIMAL MODELS OF INFLAMMATION
20062
18 20231
19
Design, Synthesis, Pharmacological Screening And Molecular Docking Of Biphenyl Analogues As Anti-Inflammatory Agents (Part-I)
20101
20
3d-QSAR Of Biphenyl Analogues As Anti-Inflammatory Agents By Genetic Function Approximation (GFA) (Part-II)
20101

About Hemantkumar Deokar

Hemantkumar Deokar is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Oncology and Pharmacology, having authored 20 papers that have together received 380 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Synthesis and biological activity (7 papers), Cancer therapeutics and mechanisms (5 papers), Cancer-related Molecular Pathways (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Synthesis and bioactivity of alkaloids (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Organic Chemistry (148 citations), Toxicology (15 citations), Computational Theory and Mathematics (67 citations), Molecular Biology (228 citations) and Pharmacology (47 citations). Hemantkumar Deokar has collaborated with scholars based in United States, India and France. Frequent co-authors include Vithal M. Kulkarni, John K. Buolamwini, Shivajirao Kadam, Jaya Kishore Vandavasi, Shailesh S. Dixit, Ruiwen Zhang, Jyoti Chattopadhyaya, Popat D. Shinde, Ram Shankar Upadhayaya and Puranik Purushottamachar. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecular Diversity, Bioorganic & Medicinal Chemistry Letters, Medicinal Chemistry Research and Organic & Biomolecular 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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