Varsha D. Badal

1.0k total citations · 1 hit paper
24 papers, 565 citations indexed

About

Varsha D. Badal is a scholar working on Experimental and Cognitive Psychology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Varsha D. Badal has authored 24 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Experimental and Cognitive Psychology, 8 papers in Psychiatry and Mental health and 6 papers in Molecular Biology. Recurrent topics in Varsha D. Badal's work include Mental Health Research Topics (10 papers), Schizophrenia research and treatment (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Varsha D. Badal is often cited by papers focused on Mental Health Research Topics (10 papers), Schizophrenia research and treatment (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Varsha D. Badal collaborates with scholars based in United States, Japan and Australia. Varsha D. Badal's co-authors include Dilip V. Jeste, Rob Knight, Tanya T. Nguyen, Emily R. Murray, Petras J. Kundrotas, Ilya A. Vakser, Ho‐Cheol Kim, Colin A. Depp, Ellen Lee and Kaoru Shinkawa and has published in prestigious journals such as Bioinformatics, Nutrients and Schizophrenia Bulletin.

In The Last Decade

Varsha D. Badal

23 papers receiving 558 citations

Hit Papers

The Gut Microbiome, Aging, and Longevity: A Systematic Re... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Varsha D. Badal United States 9 314 170 53 52 46 24 565
Shi‐Heng Wang Taiwan 14 174 0.6× 82 0.5× 20 0.4× 34 0.7× 67 1.5× 63 683
Simon Spichak Ireland 7 304 1.0× 133 0.8× 65 1.2× 10 0.2× 145 3.2× 8 644
Zhongli Yang China 18 468 1.5× 177 1.0× 20 0.4× 23 0.4× 139 3.0× 52 913
Laura Mählmann Switzerland 15 313 1.0× 234 1.4× 21 0.4× 34 0.7× 191 4.2× 15 701
Bojing Liu Sweden 12 168 0.5× 150 0.9× 30 0.6× 7 0.1× 39 0.8× 28 826
Ning Yuan China 8 247 0.8× 71 0.4× 23 0.4× 34 0.7× 251 5.5× 21 625
Gemma F. Cross United Kingdom 11 163 0.5× 154 0.9× 51 1.0× 80 1.5× 15 0.3× 15 600
Liemin Ruan China 12 199 0.6× 136 0.8× 34 0.6× 26 0.5× 122 2.7× 30 600

Countries citing papers authored by Varsha D. Badal

Since Specialization
Citations

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

Fields of papers citing papers by Varsha D. Badal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Varsha D. Badal. 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 Varsha D. Badal. The network helps show where Varsha D. Badal may publish in the future.

Co-authorship network of co-authors of Varsha D. Badal

This figure shows the co-authorship network connecting the top 25 collaborators of Varsha D. Badal. A scholar is included among the top collaborators of Varsha D. Badal 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 Varsha D. Badal. Varsha D. Badal 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.
Badal, Varsha D., et al.. (2025). Evaluating natural language processing derived linguistic features associated with current suicidal ideation, past attempts, and future suicidal behavior. Journal of Psychiatric Research. 187. 25–33. 1 indexed citations
3.
Dalkner, Nina, Raeanne C. Moore, Colin A. Depp, et al.. (2024). A meta-cognitive Wisconsin Card Sorting Test in people with schizophrenia and bipolar disorder: Self-assessment of sorting performance. Psychiatry Research. 334. 115831–115831. 3 indexed citations
4.
Badal, Varsha D., Jenna Reinen, Elizabeth W. Twamley, et al.. (2024). Investigating Acoustic and Psycholinguistic Predictors of Cognitive Impairment in Older Adults: Modeling Study. JMIR Aging. 7. e54655–e54655. 2 indexed citations
5.
Badal, Varsha D., Laura M. Campbell, Colin A. Depp, et al.. (2024). Dynamic influence of mood on subjective cognitive complaints in mild cognitive impairment: A time series network analysis approach. International Psychogeriatrics. 37(2). 100007–100007. 1 indexed citations
6.
Badal, Varsha D., et al.. (2024). Using machine learning modeling to identify childhood abuse victims on the basis of personality inventory responses. Journal of Psychiatric Research. 180. 8–15. 1 indexed citations
7.
Goel, Sanchit, Varsha D. Badal, Colin A. Depp, et al.. (2024). Decoding loneliness: Can explainable AI help in understanding language differences in lonely older adults?. Psychiatry Research. 339. 116078–116078. 4 indexed citations
8.
Badal, Varsha D., Colin A. Depp, Amy E. Pinkham, & Philip D. Harvey. (2023). Dynamics of task-based confidence in schizophrenia using seasonal decomposition approach. Schizophrenia Research Cognition. 32. 100278–100278. 3 indexed citations
9.
Parrish, Emma M., Samantha A. Chalker, Varsha D. Badal, et al.. (2023). Childhood trauma and real-world social experiences in psychosis. Schizophrenia Research. 252. 279–286. 3 indexed citations
10.
Badal, Varsha D., Ellen Lee, Rebecca Daly, et al.. (2022). Dynamics of Loneliness Among Older Adults During the COVID-19 Pandemic: Pilot Study of Ecological Momentary Assessment With Network Analysis. Frontiers in Digital Health. 4. 814179–814179. 8 indexed citations
11.
Yamada, Yasunori, Kaoru Shinkawa, Masatomo Kobayashi, et al.. (2022). Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets. JMIR Formative Research. 6(5). e37014–e37014. 8 indexed citations
12.
13.
Wang, Ning, Fan Luo, Varsha D. Badal, et al.. (2021). Learning Models for Suicide Prediction from Social Media Posts. 87–92. 23 indexed citations
14.
Badal, Varsha D., Emma M. Parrish, Jason Holden, Colin A. Depp, & Eric Granholm. (2021). Dynamic contextual influences on social motivation and behavior in schizophrenia: a case-control network analysis. Schizophrenia. 7(1). 62–62. 14 indexed citations
15.
Badal, Varsha D., Colin A. Depp, Peter Hitchcock, et al.. (2021). Computational methods for integrative evaluation of confidence, accuracy, and reaction time in facial affect recognition in schizophrenia. Schizophrenia Research Cognition. 25. 100196–100196. 8 indexed citations
16.
Badal, Varsha D., Camille Nebeker, Kaoru Shinkawa, et al.. (2021). Do Words Matter? Detecting Social Isolation and Loneliness in Older Adults Using Natural Language Processing. Frontiers in Psychiatry. 12. 728732–728732. 23 indexed citations
17.
Badal, Varsha D., Sarah Graham, Colin A. Depp, et al.. (2020). Prediction of Loneliness in Older Adults Using Natural Language Processing: Exploring Sex Differences in Speech. American Journal of Geriatric Psychiatry. 29(8). 853–866. 30 indexed citations
18.
Badal, Varsha D., Yannis Katsis, Ho‐Cheol Kim, et al.. (2019). Challenges in the construction of knowledge bases for human microbiome-disease associations. Microbiome. 7(1). 129–129. 33 indexed citations
19.
Badal, Varsha D., Petras J. Kundrotas, & Ilya A. Vakser. (2018). Natural language processing in text mining for structural modeling of protein complexes. BMC Bioinformatics. 19(1). 84–84. 26 indexed citations
20.
Badal, Varsha D., Petras J. Kundrotas, & Ilya A. Vakser. (2015). Text Mining for Protein Docking. PLoS Computational Biology. 11(12). e1004630–e1004630. 15 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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