Gita A. Pathak

4.8k total citations · 1 hit paper
68 papers, 1.1k citations indexed

About

Gita A. Pathak is a scholar working on Genetics, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Gita A. Pathak has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 24 papers in Molecular Biology and 11 papers in Clinical Psychology. Recurrent topics in Gita A. Pathak's work include Genetic Associations and Epidemiology (29 papers), Epigenetics and DNA Methylation (10 papers) and Birth, Development, and Health (6 papers). Gita A. Pathak is often cited by papers focused on Genetic Associations and Epidemiology (29 papers), Epigenetics and DNA Methylation (10 papers) and Birth, Development, and Health (6 papers). Gita A. Pathak collaborates with scholars based in United States, Italy and Spain. Gita A. Pathak's co-authors include Renato Polimanti, Frank R. Wendt, Joel Gelernter, Murray B. Stein, Daniel F. Levey, Daniel S. Tylee, Cassie Overstreet, John Concato, Flavio De Angelis and Dóra Koller and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Gita A. Pathak

63 papers receiving 1.1k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions

2021 215 citations Daniel F. Levey, Murray B. Stein et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gita A. Pathak United States	19	305	274	232	125	117	68	1.1k
Wouter J. Peyrot Netherlands	13	173 0.6×	388 1.4×	185 0.8×	89 0.7×	56 0.5×	22	944
Charles Curtis United Kingdom	16	268 0.9×	325 1.2×	185 0.8×	56 0.4×	101 0.9×	32	1.0k
Lynsey S. Hall United Kingdom	18	286 0.9×	444 1.6×	110 0.5×	96 0.8×	83 0.7×	27	1.1k
Margarita Rivera Spain	17	167 0.5×	215 0.8×	264 1.1×	152 1.2×	77 0.7×	34	1.0k
Louise K. Sjöholm Sweden	17	293 1.0×	119 0.4×	170 0.7×	96 0.8×	140 1.2×	23	1.1k
Henriette N. Buttenschøn Denmark	19	217 0.7×	156 0.6×	146 0.6×	272 2.2×	88 0.8×	42	1.1k
Daniel S. Tylee United States	16	193 0.6×	178 0.6×	159 0.7×	160 1.3×	67 0.6×	24	841
Emma C. Johnson United States	17	307 1.0×	346 1.3×	271 1.2×	68 0.5×	70 0.6×	67	1.5k
Gerard van Grootheest Netherlands	16	231 0.8×	108 0.4×	166 0.7×	128 1.0×	114 1.0×	26	786
Indrani Halder United States	20	222 0.7×	292 1.1×	138 0.6×	71 0.6×	98 0.8×	38	1.9k

Countries citing papers authored by Gita A. Pathak

Since Specialization

Citations

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

Fields of papers citing papers by Gita A. Pathak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gita A. Pathak. 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 Gita A. Pathak. The network helps show where Gita A. Pathak may publish in the future.

Co-authorship network of co-authors of Gita A. Pathak

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

All Works

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20 of 20 papers shown

Pathak, Gita A., et al.. (2025). Characterizing pleiotropy among bipolar disorder, schizophrenia, and major depression: a genome-wide cross-disorder meta-analysis. Psychological Medicine. 55. e145–e145. 1 indexed citations

Smit, Dirk J. A., Tarunveer S. Ahluwalia, Jentien M. Vermeulen, et al.. (2025). A genetic exploration of the relationship between posttraumatic stress disorder and cardiovascular diseases. Translational Psychiatry. 15(1). 1–1. 1 indexed citations

Zhou, Zhengyang, et al.. (2025). Alzheimer's disease genetic risk: Top African American risk allele frequencies and genetic architecture among Mexican‐, African‐, and non‐Hispanic White Americans. Alzheimer s & Dementia Translational Research & Clinical Interventions. 11(2). e70124–e70124.

Shwab, E. Keats, Gita A. Pathak, Michaël E. Belloy, et al.. (2025). Leveraging multiomic approaches to elucidate mechanisms of heterogeneity in Alzheimer's disease: Neuropsychiatric symptoms, co‐pathologies, and sex differences. Alzheimer s & Dementia. 21(8). e70549–e70549.

Koller, Dóra, Gita A. Pathak, Daniel F. Levey, et al.. (2024). Pleiotropy and genetically inferred causality linking multisite chronic pain to substance use disorders. Molecular Psychiatry. 29(7). 2021–2030. 2 indexed citations

Koller, Dóra, Gita A. Pathak, Edward J. Miller, et al.. (2024). Integrating genome-wide information and wearable device data to explore the link of anxiety and antidepressants with pulse rate variability. Molecular Psychiatry. 30(6). 2309–2315. 1 indexed citations

Pathak, Gita A., A. G. Low, Flavio De Angelis, et al.. (2024). Clinical spectrum of Transthyretin amyloidogenic mutations among diverse population origins. Human Genomics. 18(1). 31–31. 1 indexed citations

Koller, Dóra, Gita A. Pathak, Frank R. Wendt, et al.. (2023). Epidemiologic and Genetic Associations of Endometriosis With Depression, Anxiety, and Eating Disorders. JAMA Network Open. 6(1). e2251214–e2251214. 63 indexed citations

Cabrera‐Mendoza, Brenda, Frank R. Wendt, Gita A. Pathak, et al.. (2022). The association of obesity-related traits on COVID-19 severity and hospitalization is affected by socio-economic status: a multivariable Mendelian randomization study. International Journal of Epidemiology. 51(5). 1371–1383. 4 indexed citations

10.

Shetty, Ritu A., et al.. (2022). Expression of stable and reliable preference and aversion phenotypes following place conditioning with psychostimulants. Psychopharmacology. 239(8). 2593–2603. 3 indexed citations

11.

Wendt, Frank R., Gita A. Pathak, Kritika Singh, et al.. (2022). Sex-Specific Genetic and Transcriptomic Liability to Neuroticism. Biological Psychiatry. 93(3). 243–252. 7 indexed citations

12.

Koller, Dóra, Frank R. Wendt, Gita A. Pathak, et al.. (2022). Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations. BMC Biology. 20(1). 249–249. 9 indexed citations

13.

Pathak, Gita A., Frank R. Wendt, Yaira Z. Nuñez, et al.. (2021). Epigenomic Profiles of African-American Transthyretin Val122Ile Carriers Reveals Putatively Dysregulated Amyloid Mechanisms. Circulation Genomic and Precision Medicine. 14(1). e003011–e003011. 7 indexed citations

14.

Pathak, Gita A., Frank R. Wendt, Daniel F. Levey, et al.. (2021). Pleiotropic effects of telomere length loci with brain morphology and brain tissue expression. Human Molecular Genetics. 30(14). 1360–1370. 5 indexed citations

15.

Stein, Murray B., Daniel F. Levey, Kelly Harrington, et al.. (2021). Genome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program. Nature Genetics. 53(2). 174–184. 108 indexed citations

16.

Pathak, Gita A., Frank R. Wendt, Flavio De Angelis, et al.. (2021). The integration of genetically-regulated transcriptomics and electronic health records highlights a pattern of medical outcomes related to increased hepatic transthyretin expression. Amyloid. 29(2). 110–119. 3 indexed citations

17.

Polimanti, Renato, Daniel F. Levey, Gita A. Pathak, et al.. (2021). Multi-environment gene interactions linked to the interplay between polysubstance dependence and suicidality. Translational Psychiatry. 11(1). 34–34. 18 indexed citations

18.

Wendt, Frank R., Gita A. Pathak, Todd Lencz, et al.. (2020). Multivariate genome-wide analysis of education, socioeconomic status and brain phenome. Nature Human Behaviour. 5(4). 482–496. 29 indexed citations

19.

Wendt, Frank R., Carolina Muniz Carvalho, Gita A. Pathak, Joel Gelernter, & Renato Polimanti. (2020). Polygenic risk for autism spectrum disorder associates with anger recognition in a neurodevelopment-focused phenome-wide scan of unaffected youths from a population-based cohort. PLoS Genetics. 16(9). e1009036–e1009036. 5 indexed citations

20.

Pathak, Gita A., Jie Sun, Zhengyang Zhou, et al.. (2019). Genome-Wide Methylation of Mild Cognitive Impairment in Mexican Americans Highlights Genes Involved in Synaptic Transport, Alzheimer’s Disease-Precursor Phenotypes, and Metabolic Morbidities. Journal of Alzheimer s Disease. 72(3). 733–749. 27 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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