Sunjay Sethi

1.3k total citations
30 papers, 856 citations indexed

About

Sunjay Sethi is a scholar working on Health, Toxicology and Mutagenesis, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Sunjay Sethi has authored 30 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Sunjay Sethi's work include Neuroscience and Neuropharmacology Research (9 papers), Toxic Organic Pollutants Impact (8 papers) and Effects and risks of endocrine disrupting chemicals (6 papers). Sunjay Sethi is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Toxic Organic Pollutants Impact (8 papers) and Effects and risks of endocrine disrupting chemicals (6 papers). Sunjay Sethi collaborates with scholars based in United States, Vietnam and Sweden. Sunjay Sethi's co-authors include Pamela J. Lein, Kimberly P. Keil, Stan Sclaroff, Marco La Cascia, Machelle Wilson, Birgit Puschner, Carolyn Klocke, Isaac N. Pessah, Yanping Lin and Hans‐Joachim Lehmler and has published in prestigious journals such as Journal of the American Chemical Society, Environmental Science & Technology and Scientific Reports.

In The Last Decade

Sunjay Sethi

30 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunjay Sethi United States 19 285 197 130 128 86 30 856
Andrea Diana Italy 18 77 0.3× 509 2.6× 7 0.1× 167 1.3× 30 0.3× 47 1.0k
Abhay Sharma India 18 20 0.1× 668 3.4× 20 0.2× 92 0.7× 146 1.7× 59 1.1k
Shanker Swaminathan United States 16 37 0.1× 703 3.6× 23 0.2× 93 0.7× 420 4.9× 25 1.5k
Susanne Gerber Germany 16 28 0.1× 318 1.6× 19 0.1× 80 0.6× 51 0.6× 61 723
Shinichiro Matsumoto Japan 15 69 0.2× 306 1.6× 18 0.1× 219 1.7× 34 0.4× 49 1.2k
J. Todd Auman United States 17 50 0.2× 316 1.6× 3 0.0× 111 0.9× 52 0.6× 34 703
Arpan Kumar Maiti India 13 87 0.3× 134 0.7× 39 0.3× 83 0.6× 9 0.1× 27 448
Yanlin He United States 24 17 0.1× 432 2.2× 13 0.1× 358 2.8× 136 1.6× 71 1.5k
Yuanlin Ma China 20 10 0.0× 406 2.1× 17 0.1× 230 1.8× 163 1.9× 77 901

Countries citing papers authored by Sunjay Sethi

Since Specialization
Citations

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

Fields of papers citing papers by Sunjay Sethi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunjay Sethi

This figure shows the co-authorship network connecting the top 25 collaborators of Sunjay Sethi. A scholar is included among the top collaborators of Sunjay Sethi 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 Sunjay Sethi. Sunjay Sethi 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.
Sethi, Sunjay, et al.. (2025). Unsupervised Machine Learning Prediction of a Novel 1:3 Intermetallic Phase with the Synthesis of TbIr 3 (PuNi 3 -type) as Experimental Validation. Journal of the American Chemical Society. 147(17). 14739–14755. 1 indexed citations
2.
Zhang, Chunyun, Xueshu Li, Kimberly P. Keil, et al.. (2022). Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples. Environmental Science & Technology. 56(18). 13169–13178. 8 indexed citations
3.
Wang, Lili, Claude C. Warzecha, Jessica A. Chichester, et al.. (2022). Prednisolone reduces the interferon response to AAV in cynomolgus macaques and may increase liver gene expression. Molecular Therapy — Methods & Clinical Development. 24. 292–305. 19 indexed citations
4.
Keil, Kimberly P., Sunjay Sethi, Anthony E. Valenzuela, et al.. (2021). In utero and lactational PCB exposure drives anatomic changes in the juvenile mouse bladder. Current Research in Toxicology. 2. 1–18. 12 indexed citations
5.
Keil, Kimberly P., Sunjay Sethi, Carolyn Klocke, et al.. (2021). Sex and Genotype Modulate the Dendritic Effects of Developmental Exposure to a Human-Relevant Polychlorinated Biphenyls Mixture in the Juvenile Mouse. Frontiers in Neuroscience. 15. 766802–766802. 14 indexed citations
6.
Sethi, Sunjay, Kimberly P. Keil, Anthony E. Valenzuela, et al.. (2021). Developmental Exposure to a Human-Relevant Polychlorinated Biphenyl Mixture Causes Behavioral Phenotypes That Vary by Sex and Genotype in Juvenile Mice Expressing Human Mutations That Modulate Neuronal Calcium. Frontiers in Neuroscience. 15. 766826–766826. 24 indexed citations
7.
8.
Schmuck, Martin, Kimberly P. Keil, Sunjay Sethi, Rhianna K. Morgan, & Pamela J. Lein. (2020). Automated high content image analysis of dendritic arborization in primary mouse hippocampal and rat cortical neurons in culture. Journal of Neuroscience Methods. 341. 108793–108793. 8 indexed citations
9.
Sethi, Sunjay, Rhianna K. Morgan, Wei Feng, et al.. (2019). Comparative Analyses of the 12 Most Abundant PCB Congeners Detected in Human Maternal Serum for Activity at the Thyroid Hormone Receptor and Ryanodine Receptor. Environmental Science & Technology. 53(7). 3948–3958. 65 indexed citations
10.
Pusceddu, Matteo M., Ciara E. Keogh, Jessica Sladek, et al.. (2019). Developmental exposure to polychlorinated biphenyls (PCBs) in the maternal diet causes host-microbe defects in weanling offspring mice. Environmental Pollution. 253. 708–721. 54 indexed citations
11.
Park, Soyoung, Sunjay Sethi, & Sébastien G. Bouret. (2019). Non-nutritive Sweeteners Induce Hypothalamic ER Stress Causing Abnormal Axon Outgrowth. Frontiers in Endocrinology. 10. 876–876. 19 indexed citations
12.
Keil, Kimberly P., Sunjay Sethi, Machelle Wilson, et al.. (2018). Genetic mutations in Ca2+ signaling alter dendrite morphology and social approach in juvenile mice. Genes Brain & Behavior. 18(1). e12526–e12526. 16 indexed citations
13.
Keil, Kimberly P., Galen W. Miller, Hao Chen, et al.. (2018). PCB 95 promotes dendritic growth in primary rat hippocampal neurons via mTOR-dependent mechanisms. Archives of Toxicology. 92(10). 3163–3173. 18 indexed citations
14.
Sethi, Sunjay, Kimberly P. Keil, & Pamela J. Lein. (2018). 3,3ʹ-Dichlorobiphenyl (PCB 11) promotes dendritic arborization in primary rat cortical neurons via a CREB-dependent mechanism. Archives of Toxicology. 92(11). 3337–3345. 24 indexed citations
15.
Wilson, Machelle, Sunjay Sethi, Pamela J. Lein, & Kimberly P. Keil. (2017). Valid statistical approaches for analyzing sholl data: Mixed effects versus simple linear models. Journal of Neuroscience Methods. 279. 33–43. 46 indexed citations
16.
Sethi, Sunjay, Xiaoliang Chen, Philip H. Kass, & Birgit Puschner. (2017). Polychlorinated biphenyl and polybrominated diphenyl ether profiles in serum from cattle, sheep, and goats across California. Chemosphere. 181. 63–73. 22 indexed citations
17.
Keil, Kimberly P., Sunjay Sethi, Machelle Wilson, Hao Chen, & Pamela J. Lein. (2017). In vivo and in vitro sex differences in the dendritic morphology of developing murine hippocampal and cortical neurons. Scientific Reports. 7(1). 8486–8486. 45 indexed citations
18.
Bal‐Price, Anna, Pamela J. Lein, Kimberly P. Keil, et al.. (2016). Developing and applying the adverse outcome pathway concept for understanding and predicting neurotoxicity. NeuroToxicology. 59. 240–255. 67 indexed citations
19.
Xu, Xixi, et al.. (2016). A survey based study on sleep disturbance in postural tachycardia syndrome. Journal of the Neurological Sciences. 365. 199–202. 8 indexed citations
20.
Merrill, Michele A. La, Sunjay Sethi, Ludovic Bénard, et al.. (2016). Perinatal DDT Exposure Induces Hypertension and Cardiac Hypertrophy in Adult Mice. Environmental Health Perspectives. 124(11). 1722–1727. 22 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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