Sunjay Sethi

1.3k citations
31 papers · 980 · h-index 19

Impact in

Papers in

Sunjay Sethi

30 papers receiving 956 citations

Peers

Sunjay Sethi
Comparison fields: 5 of 113
  • Health, Toxicology and Mutagenesis 311
  • Developmental Neuroscience 68
  • Biological Psychiatry 30
  • Cellular and Molecular Neuroscience 154
  • Computer Vision and Pattern Recognition 166
Replace Anli Wang with:
Anli Wang China
Wei Dang China
Andrea Diana Italy
Didima M.G. de Groot Netherlands
Shinichiro Matsumoto Japan
Barbara Ruggeri Italy
Simon T. Bate United Kingdom
Susanne Gerber Germany
Ana Muñoz Spain
Abhay Sharma India
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Sunjay Sethi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sunjay Sethi Line = papers co-authored together Sunjay Sethi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002179
2 201678
3 201973
4 201961
5 201960
6 201755
7 201749
8 201747
9 201842
10 202128
11 201927
12 201825
13 201624
14 201724
15 201723
16 201821
17 201821
18 202220
19 201919
20 202018

About Sunjay Sethi

Sunjay Sethi is a scholar working on Health, Toxicology and Mutagenesis, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Developmental Neuroscience, having authored 31 papers that have together received 980 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Toxic Organic Pollutants Impact (8 papers), Effects and risks of endocrine disrupting chemicals (6 papers), Genetics and Neurodevelopmental Disorders (4 papers), Anesthesia and Neurotoxicity Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Rare-earth and actinide compounds (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (311 citations), Developmental Neuroscience (68 citations), Biological Psychiatry (30 citations), Cellular and Molecular Neuroscience (154 citations) and Computer Vision and Pattern Recognition (166 citations). Sunjay Sethi has collaborated with scholars based in United States, India and Vietnam. Frequent co-authors include Pamela J. Lein, Kimberly P. Keil, Stan Sclaroff, Marco La Cascia, Machelle Wilson, Carolyn Klocke, Birgit Puschner, Isaac N. Pessah, Yanping Lin and Xueshu Li. Their work appears in journals such as Frontiers in Neuroscience, Toxicological Sciences, Environmental Science & Technology, Archives of Toxicology and Toxics.

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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