Sachin Kulkarni
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Physiology top 5%
- Complementary and alternative medicine top 0.5%
- Pharmacology top 5%
- Co-authors
- Ashish DhirKanwaljit ChopraPattipati S. NaiduV. RaghavendraKiran Kumar AkulaMaharaj K. TickuAnita VermaSameer Sharma
- Topics
- Neuroscience and Neuropharmacology Research (19 papers)Receptor Mechanisms and Signaling (18 papers)Neurotransmitter Receptor Influence on Behavior (17 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Sachin Kulkarni
86 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 143
- Cellular and Molecular Neuroscience 790
- Molecular Biology 594
- Physiology 414
- Complementary and alternative medicine 395
- Pharmacology 321
Countries citing papers authored by Sachin Kulkarni
This map shows the geographic impact of Sachin 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 Sachin Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachin Kulkarni more than expected).
Fields of papers citing papers by Sachin Kulkarni
This network shows the impact of papers produced by Sachin 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 Sachin Kulkarni. The network helps show where Sachin Kulkarni may publish in the future.
Co-authorship network of co-authors of Sachin Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Kulkarni. A scholar is included among the top collaborators of Sachin Kulkarni 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 Sachin Kulkarni. Sachin Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Twine: A Unified Cluster Management System for Shared Infrastructure | 19 |
| 2 | 5 | |
| 3 | TAO: Facebook's distributed data store for the social graph | 184 |
| 4 | 4 | |
| 5 | 91 | |
| 6 | 34 | |
| 7 | 9 | |
| 8 | 15 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 38 | |
| 12 | 9 | |
| 13 | Evaluation of antiinflammatory and antihyperalgesic activity of some novel monocyclic β-lactam compounds in rats | 5 |
| 14 | 23 | |
| 15 | 36 | |
| 16 | 69 | |
| 17 | 18 | |
| 18 | 17 | |
| 19 | 2 | |
| 20 | 23 |
About Sachin Kulkarni
Sachin Kulkarni is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Behavioral Neuroscience, having authored 88 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Receptor Mechanisms and Signaling (18 papers) and Neurotransmitter Receptor Influence on Behavior (17 papers). The work is most often cited by research in Biological Psychiatry (231 citations), Behavioral Neuroscience (220 citations) and Complementary and alternative medicine (395 citations). Sachin Kulkarni has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Ashish Dhir, Kanwaljit Chopra, Pattipati S. Naidu, V. Raghavendra, Kiran Kumar Akula, Maharaj K. Ticku, Anita Verma, Sameer Sharma, Muragundla Anjaneyulu and Naveen Jain. Their work appears in journals such as Journal of Virology, Brain Research and Journal of Chromatography A.
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.