Chamindi Seneviratne

1.2k total citations
34 papers, 834 citations indexed

About

Chamindi Seneviratne is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Chamindi Seneviratne has authored 34 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Chamindi Seneviratne's work include Neurotransmitter Receptor Influence on Behavior (20 papers), Alcohol Consumption and Health Effects (10 papers) and Substance Abuse Treatment and Outcomes (7 papers). Chamindi Seneviratne is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (20 papers), Alcohol Consumption and Health Effects (10 papers) and Substance Abuse Treatment and Outcomes (7 papers). Chamindi Seneviratne collaborates with scholars based in United States, China and United Kingdom. Chamindi Seneviratne's co-authors include Bankole A. Johnson, Nassima Ait‐Daoud, Ming D. Li, Martin A. Javors, Lei Liu, J. Kim Penberthy, Xin Qun Wang, John D. Roache, Z. Jennie and Xin-Qun Wang and has published in prestigious journals such as PLoS ONE, American Journal of Psychiatry and Scientific Reports.

In The Last Decade

Chamindi Seneviratne

33 papers receiving 804 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chamindi Seneviratne United States 19 371 275 208 155 109 34 834
Mario Vitali Italy 17 139 0.4× 145 0.5× 138 0.7× 89 0.6× 66 0.6× 48 675
Ryan Koesterer United States 8 182 0.5× 262 1.0× 279 1.3× 223 1.4× 127 1.2× 12 827
Richard C. Crist United States 22 274 0.7× 249 0.9× 431 2.1× 157 1.0× 153 1.4× 60 1.4k
Marisa Patrizia Messina Italy 16 114 0.3× 119 0.4× 134 0.6× 111 0.7× 54 0.5× 42 693
Maria Luisa Attilia Italy 17 101 0.3× 243 0.9× 103 0.5× 239 1.5× 39 0.4× 42 879
F Boismare France 13 511 1.4× 178 0.6× 206 1.0× 154 1.0× 196 1.8× 68 1.0k
H. Oberbauer Austria 14 207 0.6× 181 0.7× 135 0.6× 92 0.6× 90 0.8× 17 1.1k
Bairbre Rogers Ireland 15 114 0.3× 129 0.5× 107 0.5× 74 0.5× 50 0.5× 19 1.1k
Linda Liliana Muñóz-Hernández Mexico 16 288 0.8× 197 0.7× 222 1.1× 16 0.1× 75 0.7× 39 1.3k
Leticia Manuel‐Apolinar Mexico 18 208 0.6× 134 0.5× 203 1.0× 27 0.2× 46 0.4× 63 912

Countries citing papers authored by Chamindi Seneviratne

Since Specialization
Citations

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

Fields of papers citing papers by Chamindi Seneviratne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chamindi Seneviratne. 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 Chamindi Seneviratne. The network helps show where Chamindi Seneviratne may publish in the future.

Co-authorship network of co-authors of Chamindi Seneviratne

This figure shows the co-authorship network connecting the top 25 collaborators of Chamindi Seneviratne. A scholar is included among the top collaborators of Chamindi Seneviratne 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 Chamindi Seneviratne. Chamindi Seneviratne 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.
2.
Mullins, Kristin, Chamindi Seneviratne, Amol C. Shetty, et al.. (2023). Proof of concept: Detection of cell free RNA from EDTA plasma in patients with lung cancer and non-cancer patients. Clinical Biochemistry. 118. 110583–110583. 3 indexed citations
3.
Hare, Stephanie, Bhim M. Adhikari, Mo Chen, et al.. (2023). Tryptophan challenge in individuals with schizophrenia and healthy controls: acute effects on circulating kynurenine and kynurenic acid, cognition and cerebral blood flow. Neuropsychopharmacology. 48(11). 1594–1601. 16 indexed citations
4.
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Seneviratne, Chamindi, et al.. (2021). A randomized, double-blind, placebo-controlled trial of ondansetron for the treatment of cocaine use disorder with post hoc pharmacogenetic analysis. Drug and Alcohol Dependence. 228. 109074–109074. 7 indexed citations
6.
Weintraub, Eric, Chamindi Seneviratne, Jessica F. Magidson, et al.. (2021). Mobile Telemedicine for Buprenorphine Treatment in Rural Populations With Opioid Use Disorder. JAMA Network Open. 4(8). e2118487–e2118487. 33 indexed citations
7.
Bruce, Heather, Peter Kochunov, Braxton D. Mitchell, et al.. (2019). Clinical and genetic validity of quantitative bipolarity. Translational Psychiatry. 9(1). 228–228. 2 indexed citations
8.
Hou, Jue, Chamindi Seneviratne, Xiaogang Su, et al.. (2015). Subgroup Identification in Personalized Treatment of Alcohol Dependence. Alcoholism Clinical and Experimental Research. 39(7). 1253–1259. 14 indexed citations
9.
10.
Johnson, Bankole A., Nassima Ait‐Daoud, Xin Qun Wang, et al.. (2013). Topiramate for the Treatment of Cocaine Addiction. JAMA Psychiatry. 70(12). 1338–1338. 96 indexed citations
11.
Yang, Zhongli, Lin Chen, Shaolin Wang, et al.. (2013). Determination of allelic expression of SNP rs1880676 in choline acetyltransferase gene in HeLa cells. Neuroscience Letters. 555. 215–219. 1 indexed citations
12.
Wang, Shaolin, Qing Xu, Chamindi Seneviratne, et al.. (2013). Significant associations of CHRNA2 and CHRNA6 with nicotine dependence in European American and African American populations. Human Genetics. 133(5). 575–586. 29 indexed citations
13.
Ait‐Daoud, Nassima, Chamindi Seneviratne, John D. Roache, et al.. (2012). Preliminary Evidence for cue-induced Alcohol Craving Modulated by Serotonin Transporter Gene Polymorphism rs1042173. Frontiers in Psychiatry. 3. 6–6. 18 indexed citations
14.
Seneviratne, Chamindi & Bankole A. Johnson. (2012). Serotonin Transporter Genomic Biomarker for Quantitative Assessment of Ondansetron Treatment Response in Alcoholics. Frontiers in Psychiatry. 3. 23–23. 8 indexed citations
15.
Cui, Wenyan, Chamindi Seneviratne, Jun Gu, & Ming D. Li. (2011). Genetics of GABAergic signaling in nicotine and alcohol dependence. Human Genetics. 131(6). 843–855. 26 indexed citations
16.
17.
Ait‐Daoud, Nassima, John D. Roache, Michael A. Dawes, et al.. (2009). Can Serotonin Transporter Genotype Predict Craving in Alcoholism?. Alcoholism Clinical and Experimental Research. 33(8). 1329–1335. 22 indexed citations
18.
Johnson, Bankole A., Martin A. Javors, John D. Roache, et al.. (2007). Can serotonin transporter genotype predict serotonergic function, chronicity, and severity of drinking?. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 32(1). 209–216. 29 indexed citations
19.
Javors, Martin A., Chamindi Seneviratne, John D. Roache, et al.. (2004). Platelet serotonin uptake and paroxetine binding among allelic genotypes of the serotonin transporter in alcoholics. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 29(1). 7–13. 21 indexed citations
20.
McLachlan, M. S. F., Megan J. Wallace, & Chamindi Seneviratne. (1968). Pulmonary calcification in renal failure. Report of three cases. British Journal of Radiology. 41(482). 99–106. 37 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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