Charles South

695 total citations
24 papers, 458 citations indexed

About

Charles South is a scholar working on Experimental and Cognitive Psychology, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Charles South has authored 24 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Experimental and Cognitive Psychology, 7 papers in Pharmacology and 4 papers in Cognitive Neuroscience. Recurrent topics in Charles South's work include Treatment of Major Depression (7 papers), Mental Health Research Topics (7 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers). Charles South is often cited by papers focused on Treatment of Major Depression (7 papers), Mental Health Research Topics (7 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers). Charles South collaborates with scholars based in United States, Singapore and Australia. Charles South's co-authors include Madhukar H. Trivedi, Abu Minhajuddin, Manish K. Jha, A. John Rush, Jennifer L. Hughes, Janet C. Lindow, Matthew Byerly, Patrick J. McGrath, Bruce D. Grannemann and Ramin V. Parsey and has published in prestigious journals such as American Journal of Psychiatry, Journal of Adolescent Health and The Journal of Clinical Psychiatry.

In The Last Decade

Charles South

21 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles South United States 12 139 133 120 117 98 24 458
Jung Seo Yi South Korea 9 114 0.8× 67 0.5× 105 0.9× 77 0.7× 199 2.0× 15 420
Yanping Zheng China 8 173 1.2× 74 0.6× 181 1.5× 88 0.8× 158 1.6× 15 539
Mats Adler Sweden 13 80 0.6× 49 0.4× 80 0.7× 73 0.6× 146 1.5× 21 359
Emma Wright United Kingdom 7 246 1.8× 178 1.3× 231 1.9× 77 0.7× 180 1.8× 9 624
Josef Hättenschwiler Switzerland 11 71 0.5× 80 0.6× 74 0.6× 93 0.8× 62 0.6× 24 366
Esther Setién‐Suero Spain 19 100 0.7× 87 0.7× 170 1.4× 162 1.4× 463 4.7× 59 791
Dieter Schoepf Germany 13 144 1.0× 109 0.8× 154 1.3× 45 0.4× 214 2.2× 23 594
Yann Le Strat France 15 84 0.6× 96 0.7× 146 1.2× 47 0.4× 170 1.7× 23 537
Michael Weightman Australia 9 164 1.2× 55 0.4× 115 1.0× 101 0.9× 69 0.7× 19 409
Neil Nixon United Kingdom 9 135 1.0× 48 0.4× 79 0.7× 139 1.2× 45 0.5× 21 312

Countries citing papers authored by Charles South

Since Specialization
Citations

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

Fields of papers citing papers by Charles South

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles South

This figure shows the co-authorship network connecting the top 25 collaborators of Charles South. A scholar is included among the top collaborators of Charles South 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 Charles South. Charles South 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.
Wells, Katerina, et al.. (2025). Understanding Hip Pain Through Social Media: An Initial Overview of an International Web-Based Survey. Arthroplasty Today. 32. 101625–101625.
3.
South, Charles. (2024). A basketball paradox: exploring NBA team defensive efficiency in a positionless game. Journal of Quantitative Analysis in Sports. 21(4). 345–359.
4.
South, Charles, Courtney J. Balentine, Matthew R. Porembka, et al.. (2022). Machine Learning Improves Prediction Over Logistic Regression on Resected Colon Cancer Patients. Journal of Surgical Research. 275. 181–193. 21 indexed citations
5.
Rush, A. John, et al.. (2021). TARGET JNL: Neuropsychiatric Disease and Treatment Clinically Significant Changes in the 17- and 6-Item Hamilton Rating Scales for Depression: A STAR*D Report. Neuropsychiatric Disease and Treatment. Volume 17. 2333–2345. 34 indexed citations
6.
Rush, A. John, Charles South, Manish K. Jha, Shailesh Jain, & Madhukar H. Trivedi. (2020). What to Expect When Switching to a Second Antidepressant Medication Following an Ineffective Initial SSRI. The Journal of Clinical Psychiatry. 81(5). 11 indexed citations
7.
South, Charles, et al.. (2020). Forecasting college football game outcomes using modern modeling techniques. 6(1). 25–33. 5 indexed citations
8.
9.
Lindow, Janet C., Jennifer L. Hughes, Charles South, et al.. (2020). The Youth Aware of Mental Health Intervention: Impact on Help Seeking, Mental Health Knowledge, and Stigma in U.S. Adolescents. Journal of Adolescent Health. 67(1). 101–107. 72 indexed citations
10.
South, Charles, et al.. (2019). Machine Learning Predicts Aperiodic Laboratory Earthquakes. SMU Scholar (Southern Methodist University). 2(2). 11. 2 indexed citations
11.
Czysz, Andrew H., Charles South, Bharathi S. Gadad, et al.. (2019). Can targeted metabolomics predict depression recovery? Results from the CO-MED trial. Translational Psychiatry. 9(1). 11–11. 30 indexed citations
12.
Fatt, Cherise R. Chin, Manish K. Jha, Crystal Cooper, et al.. (2019). Effect of Intrinsic Patterns of Functional Brain Connectivity in Moderating Antidepressant Treatment Response in Major Depression. American Journal of Psychiatry. 177(2). 143–154. 87 indexed citations
13.
14.
Jha, Manish K., Abu Minhajuddin, Charles South, A. John Rush, & Madhukar H. Trivedi. (2019). Irritability and Its Clinical Utility in Major Depressive Disorder: Prediction of Individual-Level Acute-Phase Outcomes Using Early Changes in Irritability and Depression Severity. American Journal of Psychiatry. 176(5). 358–366. 44 indexed citations
15.
Lindow, Janet C., et al.. (2019). Feasibility and Acceptability of the Youth Aware of Mental Health (YAM) Intervention in US Adolescents. Archives of Suicide Research. 24(2). 269–284. 18 indexed citations
16.
Trivedi, Madhukar H., Charles South, Manish K. Jha, et al.. (2018). A Novel Strategy to Identify Placebo Responders: Prediction Index of Clinical and Biological Markers in the EMBARC Trial. Psychotherapy and Psychosomatics. 87(5). 285–295. 38 indexed citations
17.
Trombello, Joseph M., Charles South, Katherine Sanchez, et al.. (2017). Efficacy of a Behavioral Activation Teletherapy Intervention to Treat Depression and Anxiety in Primary Care VitalSign<sup>6</sup> Program. The Primary Care Companion For CNS Disorders. 19(5). 18 indexed citations
18.
South, Charles, A. John Rush, Thomas Carmody, Manish K. Jha, & Madhukar H. Trivedi. (2017). Accurately identifying patients who are excellent candidates or unsuitable for a medication: a novel approach. Neuropsychiatric Disease and Treatment. Volume 13. 3001–3010. 2 indexed citations
19.
South, Charles, et al.. (2017). Pilot investigation into the sickness response to influenza vaccination in adults: Effect of depression and anxiety. General Hospital Psychiatry. 48. 56–61. 13 indexed citations
20.
Purdy, Phillip D., Charles South, Richard Klucznik, et al.. (2016). Use of a pressure sensing sheath: comparison with standard means of blood pressure monitoring in catheterization procedures. Journal of NeuroInterventional Surgery. 9(8). 766–771. 2 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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2026