Nishantha Kumarasinghe

603 total citations
18 papers, 411 citations indexed

About

Nishantha Kumarasinghe is a scholar working on Pharmacology, Biological Psychiatry and Genetics. According to data from OpenAlex, Nishantha Kumarasinghe has authored 18 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 3 papers in Biological Psychiatry and 3 papers in Genetics. Recurrent topics in Nishantha Kumarasinghe's work include Genetic Associations and Epidemiology (3 papers), Tryptophan and brain disorders (3 papers) and Ethnobotanical and Medicinal Plants Studies (2 papers). Nishantha Kumarasinghe is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Tryptophan and brain disorders (3 papers) and Ethnobotanical and Medicinal Plants Studies (2 papers). Nishantha Kumarasinghe collaborates with scholars based in Sri Lanka, Australia and United Kingdom. Nishantha Kumarasinghe's co-authors include Ulrich Schall, Paul A. Tooney, Erin Gardiner, Rodney J. Scott, Natalie J. Beveridge, S.G. Yasawardene, Brian Kelly, Murray J. Cairns, Vaughan J. Carr and Pathirage Kamal Perera and has published in prestigious journals such as BMC Public Health, Schizophrenia Research and Australian & New Zealand Journal of Psychiatry.

In The Last Decade

Nishantha Kumarasinghe

17 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nishantha Kumarasinghe Sri Lanka 9 150 93 80 56 53 18 411
Ho Jung Bae South Korea 14 140 0.9× 48 0.5× 23 0.3× 46 0.8× 20 0.4× 32 375
Laura Xicota Spain 11 174 1.2× 53 0.6× 41 0.5× 24 0.4× 37 0.7× 21 614
Chul Lee South Korea 13 112 0.7× 55 0.6× 95 1.2× 38 0.7× 75 1.4× 27 388
Asghar Shabbir Pakistan 11 236 1.6× 34 0.4× 28 0.3× 55 1.0× 24 0.5× 19 599
Manish Kumar Tripathi Israel 14 174 1.2× 27 0.3× 76 0.9× 33 0.6× 32 0.6× 21 492
Nahid Fakhraei Iran 12 75 0.5× 49 0.5× 24 0.3× 30 0.5× 15 0.3× 30 375
Elham Bijad Iran 11 100 0.7× 98 1.1× 14 0.2× 48 0.9× 18 0.3× 31 370
Mouza Al Ameri United Arab Emirates 6 76 0.5× 39 0.4× 18 0.2× 67 1.2× 22 0.4× 16 462

Countries citing papers authored by Nishantha Kumarasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Nishantha Kumarasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishantha Kumarasinghe

This figure shows the co-authorship network connecting the top 25 collaborators of Nishantha Kumarasinghe. A scholar is included among the top collaborators of Nishantha Kumarasinghe 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 Nishantha Kumarasinghe. Nishantha Kumarasinghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Kumarasinghe, Nishantha, et al.. (2021). Cadaver Preservation Methods for Human Anatomy Teaching; a Three-Dimensional Approach. Figshare. 3(1). 1–4.
2.
Lowe, C. U. & Nishantha Kumarasinghe. (2021). Identification of Social and Occupational Risk Factors Associated with CKDu (Chronic Kidney Disease of Unknown Etiology) Patients Living in an Agricultural Community in Kebithigollewa, Sri Lanka. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 7(4). 1 indexed citations
3.
Galgamuwa, Lahiru Sandaruwan, et al.. (2020). Maternal coping strategies in response to child’s oncological diseases in Sri Lanka. Acta Oncologica. 59(7). 866–871. 6 indexed citations
4.
Perera, Pathirage Kamal, et al.. (2020). Ethnopharmacological Use and Biological Activities of Tragia involucrata L.. Evidence-based Complementary and Alternative Medicine. 2020(1). 8848676–8848676. 11 indexed citations
5.
6.
Kumarasinghe, Nishantha, et al.. (2020). Prediction of CKDu using KDQOL score, Ankle Swelling and Risk Factor Analysis using Neural Networks. 91–96. 1 indexed citations
7.
Kumarasinghe, Nishantha, et al.. (2019). Follow up Study on Sri Lankan Traditional Medicine Treatment on Diagnosed Chronic Kidney Disease of Unknown Etiology Patients in Kebithigollewa, North Central Province (NCP), Sri Lanka. 5(3). 1–8. 2 indexed citations
8.
Galgamuwa, Lahiru Sandaruwan, et al.. (2019). Socioeconomic factors associated with tobacco smoking among adult males in Sri Lanka. BMC Public Health. 19(1). 778–778. 17 indexed citations
9.
Hess, Jonathan, Simone de Jong, Roel A. Ophoff, et al.. (2019). Transcriptomic abnormalities in peripheral blood in bipolar disorder, and discrimination of the major psychoses. Schizophrenia Research. 217. 124–135. 17 indexed citations
10.
Kumarasinghe, Nishantha, et al.. (2018). In vitro anti-inflammatory activity of Ficus racemosa L. bark using albumin denaturation method. AYU (An International Quarterly Journal of Research in Ayurveda). 39(4). 239–239. 128 indexed citations
11.
Hess, Jonathan, Simone de Jong, Roel A. Ophoff, et al.. (2016). Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia. Schizophrenia Research. 176(2-3). 114–124. 66 indexed citations
12.
Kumarasinghe, Nishantha, et al.. (2016). Testing the Anti-inflammatory Activity of Sri Lankan traditional medicine pill using albumin denaturation method. 2 indexed citations
13.
Bergon, Aurélie, Erin Gardiner, Natalie J. Beveridge, et al.. (2015). CX3CR1 is dysregulated in blood and brain from schizophrenia patients. Schizophrenia Research. 168(1-2). 434–443. 49 indexed citations
14.
Kumarasinghe, Nishantha, et al.. (2015). Modeling a Honeybee using Spiking Neural Network to Simulate Nectar Reporting Behavior. International Journal of Computer Applications. 130(8). 32–39. 1 indexed citations
15.
Kumarasinghe, Nishantha, et al.. (2014). Age effects on cerebral grey matter and their associations with psychopathology, cognition and treatment response in previously untreated schizophrenia patients. Neurology Psychiatry and Brain Research. 20(2). 29–36. 2 indexed citations
16.
Perera, Pathirage Kamal, et al.. (2014). Effect of Sri Lankan traditional medicine and Ayurveda on Sandhigata Vata (osteoarthritis of knee joint). AYU (An International Quarterly Journal of Research in Ayurveda). 35(4). 411–411. 11 indexed citations
17.
Kumarasinghe, Nishantha, Natalie J. Beveridge, Erin Gardiner, et al.. (2013). Gene expression profiling in treatment-naive schizophrenia patients identifies abnormalities in biological pathways involving AKT1 that are corrected by antipsychotic medication. The International Journal of Neuropsychopharmacology. 16(7). 1483–1503. 57 indexed citations
18.
Kumarasinghe, Nishantha, Paul A. Tooney, & Ulrich Schall. (2012). Finding the needle in the haystack: A review of microarray gene expression research into schizophrenia. Australian & New Zealand Journal of Psychiatry. 46(7). 598–610. 38 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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