Sachin Kulkarni

3.7k total citations
88 papers, 3.0k citations indexed

About

Sachin Kulkarni is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Sachin Kulkarni has authored 88 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 27 papers in Molecular Biology and 17 papers in Physiology. Recurrent topics in Sachin Kulkarni's work include Neuroscience and Neuropharmacology Research (19 papers), Receptor Mechanisms and Signaling (18 papers) and Neurotransmitter Receptor Influence on Behavior (17 papers). Sachin Kulkarni is often cited by papers focused on Neuroscience and Neuropharmacology Research (19 papers), Receptor Mechanisms and Signaling (18 papers) and Neurotransmitter Receptor Influence on Behavior (17 papers). Sachin Kulkarni collaborates with scholars based in India, United States and Australia. Sachin Kulkarni's 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 and has published in prestigious journals such as Journal of Virology, Brain Research and Journal of Chromatography A.

In The Last Decade

Sachin Kulkarni

86 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sachin Kulkarni India 31 790 594 414 395 321 88 3.0k
Tao Zhang China 40 1.3k 1.6× 1.4k 2.3× 751 1.8× 186 0.5× 225 0.7× 229 6.1k
Mohd. Farooq Shaikh Malaysia 30 607 0.8× 930 1.6× 512 1.2× 247 0.6× 262 0.8× 145 3.1k
Kjell Hole Norway 39 2.1k 2.7× 1.4k 2.4× 3.1k 7.5× 365 0.9× 778 2.4× 123 6.0k
Hiroshi Saitō Japan 48 2.3k 2.9× 2.8k 4.7× 918 2.2× 421 1.1× 767 2.4× 411 8.5k
Haiyang Wang China 25 138 0.2× 604 1.0× 294 0.7× 65 0.2× 188 0.6× 96 2.2k
Aayush Sehgal India 31 259 0.3× 1.0k 1.7× 552 1.3× 245 0.6× 384 1.2× 118 3.2k
Xiangyu Zhang China 31 173 0.2× 880 1.5× 284 0.7× 169 0.4× 117 0.4× 128 4.0k
François Noël Brazil 25 397 0.5× 1.0k 1.7× 252 0.6× 128 0.3× 202 0.6× 132 2.4k
James F. Flood United States 54 3.7k 4.7× 2.6k 4.4× 2.1k 5.1× 185 0.5× 827 2.6× 123 8.6k
Nobuhisa Ueda Japan 29 503 0.6× 927 1.6× 218 0.5× 25 0.1× 315 1.0× 91 2.9k

Countries citing papers authored by Sachin Kulkarni

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Tang, Chunqiang, Kaushik Veeraraghavan, Matthew Clark, et al.. (2020). Twine: A Unified Cluster Management System for Shared Infrastructure. Operating Systems Design and Implementation. 787–803. 19 indexed citations
3.
Wang, Shiguang, Tarek Abdelzaher, Sachin Kulkarni, et al.. (2014). Poster abstract: information-maximizing data collection in social sensing using named-data. Information Processing in Sensor Networks. 303–304. 1 indexed citations
4.
Wang, Shiguang, Tarek Abdelzaher, Sachin Kulkarni, et al.. (2014). The Information Funnel: Exploiting Named Data for Information-Maximizing Data Collection. 92–100. 11 indexed citations
5.
Bronson, Nathan, et al.. (2013). TAO: Facebook's distributed data store for the social graph. USENIX Annual Technical Conference. 49–60. 184 indexed citations
6.
Kulkarni, Sachin & Pattipati S. Naidu. (2010). OXIDATIVE STRESS AND TARDIVE DYSKINESIA: ROLE OF NATURAL ANTIOXIDANTS. Iranian journal of pharmaceutical research. 3(1). 11–11. 4 indexed citations
7.
Kulkarni, Sachin, Ashish Dhir, & Kiran Kumar Akula. (2009). Potentials of Curcumin as an Antidepressant. The Scientific World JOURNAL. 9. 1233–1241. 113 indexed citations
8.
Dhir, Ashish & Sachin Kulkarni. (2008). Venlafaxine reverses chronic fatigue-induced behavioral, biochemical and neurochemical alterations in mice. Pharmacology Biochemistry and Behavior. 89(4). 563–571. 34 indexed citations
9.
Akula, Kiran Kumar, Ashish Dhir, & Sachin Kulkarni. (2007). Systemic administration of adenosine ameliorates pentylenetetrazol‐induced chemical kindling and secondary behavioural and biochemical changes in mice. Fundamental and Clinical Pharmacology. 21(6). 583–594. 15 indexed citations
10.
Padi, Satyanarayana S. V., Pattipati S. Naidu, & Sachin Kulkarni. (2006). Involvement of peripheral prostaglandins in formalin-induced nociceptive behaviours in the orofacial area of rats. Inflammopharmacology. 14(1-2). 57–61. 11 indexed citations
11.
Joshi, Dipesh, Pattipati S. Naidu, Amanpreet Singh, & Sachin Kulkarni. (2005). Protective Effect of Quercetin on Alcohol Abstinence-Induced Anxiety and Convulsions. Journal of Medicinal Food. 8(3). 392–396. 38 indexed citations
12.
Goel, Rajesh Kumar, Amanpreet Singh, Mohinder P. Mahajan, & Sachin Kulkarni. (2004). Evaluation of antiinflammatory and antihyperalgesic activity of some novel monocyclic β-lactam compounds in rats. Indian Journal of Pharmaceutical Sciences. 66(1). 87–91. 5 indexed citations
13.
Milošević, Zoran, et al.. (2004). On design and implementation of a contract monitoring facility. 62–71. 9 indexed citations
14.
Milošević, Zoran, et al.. (2004). On design and implementation of a contract monitoring facility. Kent Academic Repository (University of Kent). 23 indexed citations
15.
Naidu, Pattipati S. & Sachin Kulkarni. (2004). Quercetin, a bioflavonoid, reverses haloperidol-induced catalepsy. Methods and Findings in Experimental and Clinical Pharmacology. 26(5). 323–323. 24 indexed citations
16.
Cole, James B., et al.. (2004). Identifying requirements for Business Contract Language: a monitoring perspective. Kent Academic Repository (University of Kent). 50–61. 23 indexed citations
17.
Jain, Naveen, Sachin Kulkarni, & Alpana Singh. (2001). Lipopolysaccharide-mediated immobility in mice: Reversal bycyclooxygenase enzyme inhibitors. Methods and Findings in Experimental and Clinical Pharmacology. 23(8). 441–441. 36 indexed citations
18.
Ninan, Ipe & Sachin Kulkarni. (1998). Partial agonistic action of clozapine at dopamine D 2 receptors in dopamine depleted animals. Psychopharmacology. 135(3). 311–317. 14 indexed citations
19.
Ninan, Ipe & Sachin Kulkarni. (1996). The Antimuscarinic Activity of Clozapine in Rats. Pharmacy and Pharmacology Communications. 2(9). 427–428. 2 indexed citations
20.
Verma, Anita & Sachin Kulkarni. (1992). Modulation of MK-801 response by dopaminergic agents in mice. Psychopharmacology. 107(2-3). 431–436. 48 indexed citations

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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