Hemantkumar Deokar
- Molecular Biology
- Organic Chemistry
- Computational Theory and Mathematics top 10%
- Oncology
- Pharmacology
- Co-authors
- Vithal M. KulkarniJohn K. BuolamwiniShivajirao KadamRuiwen ZhangJyoti ChattopadhyayaJaya Kishore VandavasiPopat D. ShindeShailesh S. Dixit
- Topics
- Synthesis and biological activity (7 papers)Computational Drug Discovery Methods (7 papers)Cancer therapeutics and mechanisms (5 papers)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Hemantkumar Deokar
19 papers receiving 372 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 228
- Organic Chemistry 148
- Computational Theory and Mathematics 67
- Oncology 60
- Pharmacology 47
Countries citing papers authored by Hemantkumar Deokar
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
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-authorship network of co-authors of Hemantkumar Deokar
This figure shows the co-authorship network connecting the top 25 collaborators of Hemantkumar Deokar. A scholar is included among the top collaborators of Hemantkumar Deokar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hemantkumar Deokar. Hemantkumar Deokar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 15 | |
| 4 | 10 | |
| 5 | 21 | |
| 6 | 16 | |
| 7 | 16 | |
| 8 | 30 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 25 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | Design, Synthesis, Pharmacological Screening And Molecular Docking Of Biphenyl Analogues As Anti-Inflammatory Agents (Part-I) | 1 |
| 15 | 3d-QSAR Of Biphenyl Analogues As Anti-Inflammatory Agents By Genetic Function Approximation (GFA) (Part-II) | 1 |
| 16 | 96 | |
| 17 | 51 | |
| 18 | 14 | |
| 19 | 42 | |
| 20 | ANTI-INFLAMMATORY AND ANALGESIC ACTIVITY OF 4'-METHYLBIPHENYL-2- (SUBSTITUTED PHENYL) CARBOXAMIDE ANALOGS IN ANIMAL MODELS OF INFLAMMATION | 2 |
About Hemantkumar Deokar
Hemantkumar Deokar is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Pharmacology, having authored 20 papers that have together received 380 indexed citations. Recurring topics across this work include Synthesis and biological activity (7 papers), Computational Drug Discovery Methods (7 papers) and Cancer therapeutics and mechanisms (5 papers). The work is most often cited by research in Organic Chemistry (148 citations), Toxicology (15 citations) and Computational Theory and Mathematics (67 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, Ruiwen Zhang, Jyoti Chattopadhyaya, Jaya Kishore Vandavasi, Popat D. Shinde, Shailesh S. Dixit, Ram Shankar Upadhayaya and Puranik Purushottamachar. Their work appears in journals such as Biochemical Pharmacology, Cancer Letters and European Journal of 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.