Maya Varma

1.1k total citations
29 papers, 475 citations indexed

About

Maya Varma is a scholar working on Cognitive Neuroscience, Molecular Biology and Epidemiology. According to data from OpenAlex, Maya Varma has authored 29 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 9 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Maya Varma's work include Autism Spectrum Disorder Research (12 papers), Virology and Viral Diseases (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Maya Varma is often cited by papers focused on Autism Spectrum Disorder Research (12 papers), Virology and Viral Diseases (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Maya Varma collaborates with scholars based in United States, India and Spain. Maya Varma's co-authors include Dennis P. Wall, Peter Washington, Nate Stockham, Kelley Paskov, Brianna Chrisman, Aaron Kline, Émilie Leblanc, Catalin Voss, Jae-Yoon Jung and Min Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Maya Varma

28 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maya Varma United States	15	184	97	67	62	55	29	475
Brianna Chrisman United States	12	185 1.0×	96 1.0×	20 0.3×	94 1.5×	4 0.1×	27	403
Nate Stockham United States	13	330 1.8×	102 1.1×	18 0.3×	211 3.4×	6 0.1×	27	637
Tanya Talkar United States	7	41 0.2×	13 0.1×	101 1.5×	25 0.4×	49 0.9×	22	404
Nidhi Goel India	13	80 0.4×	311 3.2×	31 0.5×	58 0.9×	46 0.8×	53	979
Wen Liu China	15	40 0.2×	52 0.5×	28 0.4×	141 2.3×	18 0.3×	61	709
Rajesh Nandy United States	16	382 2.1×	23 0.2×	13 0.2×	92 1.5×	161 2.9×	53	827
Gloria Li United States	7	22 0.1×	7 0.1×	50 0.7×	149 2.4×	72 1.3×	14	798
Humberto Pérez-Espinosa Mexico	11	37 0.2×	21 0.2×	105 1.6×	6 0.1×	49 0.9×	40	436
Ai−Hong Chen China	10	20 0.1×	33 0.3×	25 0.4×	56 0.9×	43 0.8×	60	480

Countries citing papers authored by Maya Varma

Since Specialization

Citations

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

Fields of papers citing papers by Maya Varma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Varma

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Paschali, Magdalini, Zhihong Chen, Louis Blankemeier, et al.. (2025). Foundation Models in Radiology: What, How, Why, and Why Not. Radiology. 314(2). e240597–e240597. 17 indexed citations

Varma, Maya, et al.. (2025). Effectiveness of Teletherapy in Managing Voice Disorders: A Systematic Review. Indian Journal of Otolaryngology and Head & Neck Surgery. 77(8). 3320–3336.

Delbrouck, Jean-Benoit, Pierre Chambon, Zhi Hong Chen, et al.. (2024). RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports. 12902–12915. 1 indexed citations

Chen, Zhihong, Maya Varma, Louis Blankemeier, et al.. (2024). GREEN: Generative Radiology Report Evaluation and Error Notation. 374–390. 8 indexed citations

Chen, Zhihong, Maya Varma, Xiang Wan, Curtis P. Langlotz, & Jean-Benoit Delbrouck. (2023). Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities. 469–484. 7 indexed citations

Washington, Peter, Haik Kalantarian, John Kent, et al.. (2022). Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study. JMIR Pediatrics and Parenting. 5(2). e26760–e26760. 17 indexed citations

Varma, Maya, Peter Washington, Brianna Chrisman, et al.. (2022). Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods. Journal of Medical Internet Research. 24(2). e31830–e31830. 30 indexed citations

Saab, Khaled, Maya Varma, Pierre Chambon, et al.. (2022). ViLMedic: a framework for research at the intersection of vision and language in medical AI. 23–34. 21 indexed citations

Chrisman, Brianna, Kelley Paskov, Nate Stockham, et al.. (2021). Indels in SARS-CoV-2 occur at template-switching hotspots. BioData Mining. 14(1). 20–20. 24 indexed citations

10.

Chrisman, Brianna, Kelley Paskov, Nate Stockham, et al.. (2021). Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. BMC Bioinformatics. 22(1). 509–509. 8 indexed citations

11.

Washington, Peter, Qandeel Tariq, Émilie Leblanc, et al.. (2021). Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection. Scientific Reports. 11(1). 7620–7620. 22 indexed citations

12.

Paskov, Kelley, Jae-Yoon Jung, Brianna Chrisman, et al.. (2021). Estimating sequencing error rates using families. BioData Mining. 14(1). 27–27. 6 indexed citations

13.

Washington, Peter, Émilie Leblanc, Kaitlyn Dunlap, et al.. (2020). Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition. Journal of Personalized Medicine. 10(3). 86–86. 24 indexed citations

14.

Sun, Min, Stefano Moretti, Kelley Paskov, et al.. (2020). Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value. BMC Bioinformatics. 21(1). 356–356. 11 indexed citations

15.

Leblanc, Émilie, Peter Washington, Maya Varma, et al.. (2020). Feature replacement methods enable reliable home video analysis for machine learning detection of autism. Scientific Reports. 10(1). 21245–21245. 26 indexed citations

16.

Washington, Peter, Émilie Leblanc, Kaitlyn Dunlap, et al.. (2020). Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. PubMed. 26. 14–25. 17 indexed citations

17.

Shenoy, Suchitra, Girish Thunga, Sreedharan Nair, et al.. (2020). Artificial intelligence in the differentiation of tropical infections: A step ahead. International Journal of Infectious Diseases. 101. 206–206. 1 indexed citations

18.

Washington, Peter, Haik Kalantarian, Qandeel Tariq, et al.. (2019). Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks. Journal of Medical Internet Research. 21(5). e13668–e13668. 21 indexed citations

19.

Washington, Peter, Catalin Voss, Aaron Kline, et al.. (2019). Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(8). 759–769. 60 indexed citations

20.

Esteban, Francisco J., et al.. (2017). Cross-disorder comparative analysis of comorbid conditions reveals novel autism candidate genes. BMC Genomics. 18(1). 315–315. 18 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.

Explore authors with similar magnitude of impact