Abhijit Kulkarni
- Pharmacology top 10%
- Cannabis and Cannabinoid Research 5
- Neurology top 10%
- Vagus Nerve Stimulation Research 4
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- Neuroscience and Neuropharmacology Research 4
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- Nicotinic Acetylcholine Receptors Study 11
- Receptor Mechanisms and Signaling 10
- Pharmacological Receptor Mechanisms and Effects 5
- Chemical Synthesis and Analysis 2
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- Pain Mechanisms and Treatments 2
- Co-authors
- Ganesh A. ThakurRoger L. PapkeM. Imad DamajDeniz BağdaşBehrouz ShafeiSumanta GaraiShakir D. AlSharariClare Stokes
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Medicinal Chemistry (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesSaudi ArabiaTürkiye
In The Last Decade
Abhijit Kulkarni
26 papers receiving 640 citations
Peers
Comparison fields: 5 of 84
- Pharmacology 154
- Neurology 72
- Cellular and Molecular Neuroscience 138
- Molecular Biology 436
- Process Chemistry and Technology 18
Countries citing papers authored by Abhijit Kulkarni
This map shows the geographic impact of Abhijit Kulkarni'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 Abhijit Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhijit Kulkarni more than expected).
Fields of papers citing papers by Abhijit Kulkarni
This network shows the impact of papers produced by Abhijit Kulkarni. 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 Abhijit Kulkarni. The network helps show where Abhijit Kulkarni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abhijit Kulkarni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 23 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 16 | |
| 12 | 2017 | 24 | |
| 13 | 2017 | 12 | |
| 14 | 2016 | 16 | |
| 15 | 2016 | 13 | |
| 16 | 2016 | 41 | |
| 17 | 2016 | 61 | |
| 18 | Static, Modal and Kinematic Analysis of Hydraulic Excavator | 2014 | 1 |
| 19 | 2013 | 33 | |
| 20 | 2013 | 37 |
About Abhijit Kulkarni
Abhijit Kulkarni is a scholar working on Neurology, Cellular and Molecular Neuroscience and Pharmacology, having authored 28 papers that have together received 649 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (11 papers), Receptor Mechanisms and Signaling (10 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Cannabis and Cannabinoid Research (5 papers), Vagus Nerve Stimulation Research (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Chemical Synthesis and Analysis (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Pharmacology (154 citations), Neurology (72 citations) and Cellular and Molecular Neuroscience (138 citations). Abhijit Kulkarni has collaborated with scholars based in United States, Saudi Arabia and Türkiye. Frequent co-authors include Ganesh A. Thakur, Roger L. Papke, M. Imad Damaj, Deniz Bağdaş, Ganesh A. Thakur, Behrouz Shafei, Sumanta Garai, Shakir D. AlSharari, Clare Stokes and Nicole A. Horenstein. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and Methods in enzymology on CD-ROM/Methods in enzymology.
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.