V.L. Nimgaonkar

1.5k total citations
31 papers, 1.1k citations indexed

About

V.L. Nimgaonkar is a scholar working on Psychiatry and Mental health, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, V.L. Nimgaonkar has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Psychiatry and Mental health, 10 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in V.L. Nimgaonkar's work include Schizophrenia research and treatment (9 papers), Bipolar Disorder and Treatment (5 papers) and Receptor Mechanisms and Signaling (4 papers). V.L. Nimgaonkar is often cited by papers focused on Schizophrenia research and treatment (9 papers), Bipolar Disorder and Treatment (5 papers) and Receptor Mechanisms and Signaling (4 papers). V.L. Nimgaonkar collaborates with scholars based in United States, United Kingdom and India. V.L. Nimgaonkar's co-authors include Bernie Devlin, Kodavali V. Chowdari, Simon Wessely, Robin Murray, Hader Mansour, Joel Wood, David J. Kupfer, David J. Heal, Robert A. Sweet and Michael F. Pogue‐Geile and has published in prestigious journals such as Journal of Neurochemistry, The British Journal of Psychiatry and British Journal of Pharmacology.

In The Last Decade

V.L. Nimgaonkar

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V.L. Nimgaonkar United States 18 477 291 244 212 164 31 1.1k
P Zvolský Czechia 15 438 0.9× 143 0.5× 124 0.5× 224 1.1× 174 1.1× 53 836
Joaquı́n Valero Spain 14 181 0.4× 138 0.5× 206 0.8× 129 0.6× 217 1.3× 21 863
Joanna Pawlak Poland 21 285 0.6× 141 0.5× 223 0.9× 126 0.6× 216 1.3× 94 1.2k
Jürgen Fritze Germany 19 292 0.6× 300 1.0× 204 0.8× 118 0.6× 40 0.2× 59 1.2k
Hader Mansour United States 14 328 0.7× 134 0.5× 141 0.6× 188 0.9× 415 2.5× 26 1.1k
G. Stöber Germany 20 794 1.7× 591 2.0× 385 1.6× 303 1.4× 50 0.3× 47 1.8k
Antonio Drago Italy 21 405 0.8× 330 1.1× 353 1.4× 243 1.1× 41 0.3× 81 1.4k
L. Lindström Sweden 20 865 1.8× 718 2.5× 619 2.5× 134 0.6× 81 0.5× 43 2.2k
Enrico Lattuada Italy 25 837 1.8× 571 2.0× 282 1.2× 202 1.0× 36 0.2× 44 1.6k
Susann Friedel Germany 22 407 0.9× 293 1.0× 277 1.1× 491 2.3× 325 2.0× 27 1.6k

Countries citing papers authored by V.L. Nimgaonkar

Since Specialization
Citations

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

Fields of papers citing papers by V.L. Nimgaonkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.L. Nimgaonkar. 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 V.L. Nimgaonkar. The network helps show where V.L. Nimgaonkar may publish in the future.

Co-authorship network of co-authors of V.L. Nimgaonkar

This figure shows the co-authorship network connecting the top 25 collaborators of V.L. Nimgaonkar. A scholar is included among the top collaborators of V.L. Nimgaonkar 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 V.L. Nimgaonkar. V.L. Nimgaonkar 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.
Bhatia, Triptish, et al.. (2017). Possible role of rare variants in Trace amine associated receptor 1 in schizophrenia. Schizophrenia Research. 189. 190–195. 41 indexed citations
2.
Roalf, David R., R.C. Gur, Laura Almasy, et al.. (2012). Neurocognitive Performance Stability in a Multiplex Multigenerational Study of Schizophrenia. Schizophrenia Bulletin. 39(5). 1008–1017. 36 indexed citations
3.
Barnett, Jennifer H., Jue Huang, Roy H. Perlis, et al.. (2010). Personality and bipolar disorder: dissecting state and trait associations between mood and personality. Psychological Medicine. 41(8). 1593–1604. 91 indexed citations
4.
Shirts, Brian H., et al.. (2008). Antibodies to cytomegalovirus and Herpes Simplex Virus 1 associated with cognitive function in schizophrenia. Schizophrenia Research. 106(2-3). 268–274. 79 indexed citations
5.
Xu, Zhiwen, Zhiliang Yu, Frank W. Pun, et al.. (2007). Positive selection within the schizophrenia-associated GABAA receptor Beta2 gene. 16 indexed citations
6.
Mansour, Hader, Joel Wood, Kodavali V. Chowdari, et al.. (2005). Association study of eight circadian genes with bipolar I disorder, schizoaffective disorder and schizophrenia. Genes Brain & Behavior. 5(2). 150–157. 221 indexed citations
7.
Sweet, Robert A., V.L. Nimgaonkar, Bernie Devlin, & Dilip V. Jeste. (2003). Psychotic symptoms in Alzheimer disease: evidence for a distinct phenotype. Molecular Psychiatry. 8(4). 383–392. 88 indexed citations
8.
Nimgaonkar, V.L., et al.. (2000). Mitochondrial DNA variants in schizophrenia: association studies. Psychiatric Genetics. 10(1). 27–31. 7 indexed citations
9.
Prasad, Shyam Baboo, S.N. Deshpande, Triptish Bhatia, et al.. (1999). Association study of schizophrenia among Indian families. American Journal of Medical Genetics. 88(4). 298–300. 17 indexed citations
10.
Nimgaonkar, V.L., et al.. (1997). Fertility in schizophrenia: results from a contemporary US cohort. Acta Psychiatrica Scandinavica. 95(5). 364–369. 31 indexed citations
11.
Nimgaonkar, V.L., et al.. (1996). 5-HT2 receptor gene locus. Psychiatric Genetics. 6(1). 23–28. 41 indexed citations
12.
Chengappa, K. N. Roy, et al.. (1995). Obstetric complications and autoantibodies in schizophrenia. Acta Psychiatrica Scandinavica. 92(4). 270–273. 10 indexed citations
13.
Nimgaonkar, V.L., et al.. (1990). Antipsychotic drug action associated with synthesis of a lymphocyte protein. Psychiatry Research. 32(1). 95–97. 1 indexed citations
14.
Nimgaonkar, V.L. & S. A. Whatley. (1990). A Specific Effect of Antipsychotic Drugs on Protein Synthesis in Human Lymphomononuclear Cells. Journal of Neurochemistry. 54(6). 1934–1940. 6 indexed citations
15.
Nimgaonkar, V.L. & S. A. Whatley. (1989). Antipsychotic drugs increase synthesis of a 30 kda polypeptide: a stereospecific, therapeutically relevant effect in human lymphocytes. Schizophrenia Research. 2(1-2). 170–170. 1 indexed citations
16.
Nimgaonkar, V.L., et al.. (1988). Reasons for non‐attendance at a child guidance clinic. Child Care Health and Development. 14(6). 387–393. 5 indexed citations
17.
Nimgaonkar, V.L., Simon Wessely, & Robin Murray. (1988). Prevalence of Familiality, Obstetric Complications, and Structural Brain Damage in Schizophrenic Patients. The British Journal of Psychiatry. 153(2). 191–197. 62 indexed citations
18.
Nimgaonkar, V.L., Simon Wessely, L E Tune, & Robin Murray. (1988). Response to drugs in schizophrenia: the influence of family history, obstetric complications and ventricular enlargement. Psychological Medicine. 18(3). 583–592. 29 indexed citations
19.
Whatley, S. A., et al.. (1987). The effect of haloperidol on protein synthesis in human cells. Biochemical Society Transactions. 15(4). 688–689. 2 indexed citations
20.
Nimgaonkar, V.L., et al.. (1986). Studies on rat brain catecholamine synthesis and ?-adrenoceptor number following administration of electroconvulsive shock, desipramine and clenbuterol. Journal of Neural Transmission. 65(3-4). 245–259. 25 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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