Nuvan Rathnayaka

713 total citations
23 papers, 490 citations indexed

About

Nuvan Rathnayaka is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Nuvan Rathnayaka has authored 23 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Nuvan Rathnayaka's work include Neurotransmitter Receptor Influence on Behavior (7 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers) and Temporomandibular Joint Disorders (3 papers). Nuvan Rathnayaka is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (7 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers) and Temporomandibular Joint Disorders (3 papers). Nuvan Rathnayaka collaborates with scholars based in United States, Sweden and Sri Lanka. Nuvan Rathnayaka's co-authors include Joy M. Schmitz, F. Gerard Moeller, Roger B. Fillingim, Richard Ohrbach, Joel D. Greenspan, William Maixner, Gary D. Slade, Charles E. Green, John Grabowski and Anne E. Sanders and has published in prestigious journals such as Remote Sensing of Environment, Clinical Infectious Diseases and Behavioural Brain Research.

In The Last Decade

Nuvan Rathnayaka

20 papers receiving 470 citations

Peers

Nuvan Rathnayaka
Nuvan Rathnayaka
Citations per year, relative to Nuvan Rathnayaka Nuvan Rathnayaka (= 1×) peers Aylin Yazıcı

Countries citing papers authored by Nuvan Rathnayaka

Since Specialization
Citations

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

Fields of papers citing papers by Nuvan Rathnayaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuvan Rathnayaka

This figure shows the co-authorship network connecting the top 25 collaborators of Nuvan Rathnayaka. A scholar is included among the top collaborators of Nuvan Rathnayaka 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 Nuvan Rathnayaka. Nuvan Rathnayaka 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.
Merriweather, Anthony, Lisa Hightow‐Weidman, Kara Bennett, et al.. (2025). Leveraging public health infrastructures to support sexual health for women living in the Southern United States. Frontiers in Medicine. 12. 1521455–1521455.
2.
Rathnayaka, Nuvan, et al.. (2024). Propensity Score Methods for Confounding Control in Observational Studies of Therapeutics for COVID-19 Infection. Clinical Infectious Diseases. 79(Supplement_4). S131–S136.
3.
Cholera, Rushina, David M. Anderson, Sudha R. Raman, et al.. (2021). Medicaid Coverage Disruptions Among Children Enrolled in North Carolina Medicaid From 2016 to 2018. JAMA Health Forum. 2(12). e214283–e214283. 6 indexed citations
4.
Sanders, Anne E., Joel D. Greenspan, Roger B. Fillingim, et al.. (2020). Associations of Sleep Disturbance, Atopy, and Other Health Measures with Chronic Overlapping Pain Conditions. Journal of Oral & Facial Pain and Headache. 34(Suppl). s73–s84. 17 indexed citations
5.
Fillingim, Roger B., Richard Ohrbach, Joel D. Greenspan, et al.. (2020). Associations of Psychologic Factors with Multiple Chronic Overlapping Pain Conditions. Journal of Oral & Facial Pain and Headache. 34(Suppl). s85–s100. 50 indexed citations
6.
Qiu, Tong, Conghe Song, James S. Clark, et al.. (2020). Understanding the continuous phenological development at daily time step with a Bayesian hierarchical space-time model: impacts of climate change and extreme weather events. Remote Sensing of Environment. 247. 111956–111956. 30 indexed citations
7.
Sharma, Sonia, Gary D. Slade, Roger B. Fillingim, et al.. (2020). Attributes Germane to Temporomandibular Disorders and Their Associations with Five Chronic Overlapping Pain Conditions. Journal of Oral & Facial Pain and Headache. 34(Suppl). s57–s72. 9 indexed citations
8.
Ohrbach, Richard, Gary D. Slade, Eric Bair, et al.. (2019). Premorbid and concurrent predictors of TMD onset and persistence. European Journal of Pain. 24(1). 145–158. 34 indexed citations
9.
Meloto, Carolina B., Gary D. Slade, Ryan N. Lichtenwalter, et al.. (2019). Clinical predictors of persistent temporomandibular disorder in people with first-onset temporomandibular disorder. The Journal of the American Dental Association. 150(7). 572–581.e10. 37 indexed citations
10.
Rathnayaka, Nuvan, et al.. (2018). Knowledge and practices on birth preparedness and complication readiness among antenatal mothers; A study from southern province. Sri Lanka Journal of Obstetrics and Gynaecology. 40(1). 25–25. 4 indexed citations
11.
Rathnayaka, Nuvan, Jessica Vincent, F. Gerard Moeller, Joy M. Schmitz, & Charles E. Green. (2017). Drop-The-Loser: A practical bayesian adaptive design for a clinical trial of citalopram for cocaine use disorder. 3(4). 2 indexed citations
12.
Alcorn, Joseph L., Nuvan Rathnayaka, Alan C. Swann, F. Gerard Moeller, & Scott D. Lane. (2015). Effects of Intranasal Oxytocin on Aggressive Responding in Antisocial Personality Disorder. The Psychological Record. 65(4). 691–703. 27 indexed citations
13.
Schmitz, Joy M., et al.. (2015). Anti-saccade error rates as a measure of attentional bias in cocaine dependent subjects. Behavioural Brain Research. 292. 493–499. 18 indexed citations
14.
Sharma, Jyoti, Nuvan Rathnayaka, Charles Green, et al.. (2014). Bradycardia as a Marker of Chronic Cocaine Use: A Novel Cardiovascular Finding. Behavioral Medicine. 42(1). 1–8. 12 indexed citations
15.
Schmitz, Joy M., Charles E. Green, Angela L. Stotts, et al.. (2014). A two-phased screening paradigm for evaluating candidate medications for cocaine cessation or relapse prevention: Modafinil, levodopa–carbidopa, naltrexone. Drug and Alcohol Dependence. 136. 100–107. 46 indexed citations
16.
Lane, Scott D., et al.. (2014). Demographic and Psychological Factors Associated With Lifetime Cocaine Use. Addictive Disorders & Their Treatment. 14(2). 70–77. 4 indexed citations
17.
Rathnayaka, Nuvan, Janice A. Blalock, Jennifer A. Minnix, et al.. (2014). Examination of the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68) Factor Structure in a Sample of Pregnant Smokers. Nicotine & Tobacco Research. 17(6). 653–660. 6 indexed citations
18.
Schmitz, Joy M., et al.. (2014). EYE-tracking measures of attentional bias in cocaine-dependent subjects. Drug and Alcohol Dependence. 140. e50–e50. 1 indexed citations
19.
Schmitz, Joy M., et al.. (2012). Combination of Modafinil and d-amphetamine for the Treatment of Cocaine Dependence: A Preliminary Investigation. Frontiers in Psychiatry. 3. 77–77. 48 indexed citations
20.
Moeller, F. Gerard, Joel L. Steinberg, Joy M. Schmitz, et al.. (2010). Working memory fMRI activation in cocaine-dependent subjects: Association with treatment response. Psychiatry Research Neuroimaging. 181(3). 174–182. 75 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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