Sunjay Sethi

1k citations
28 papers · 868 · h-index 19

Impact in

Papers in

    • Toxic Organic Pollutants Impact 14
    • Effects and risks of endocrine disrupting chemicals 7
    • Genetics and Neurodevelopmental Disorders 6
    • Virus-based gene therapy research 2

Sunjay Sethi

28 papers receiving 863 citations

Peers

Sunjay Sethi
Comparison fields: 5 of 82
  • Health, Toxicology and Mutagenesis 434
  • Urology 41
  • Developmental Neuroscience 17
  • Small Animals 34
  • Cellular and Molecular Neuroscience 52
Replace Kimberly P. Keil with:
Kimberly P. Keil United States
Katsuhiko Warita Japan
Janaína Sena de Souza Brazil
Herbert Wiegand Germany
K.-D. Döhler Germany
Makiko Kuwagata Japan
Ryo Ohta Japan
Piotr Podlasz Poland
Mari Aoki Japan
Maiko Kawaguchi Japan
Sunjay Sethi relative to Kimberly P. Keil United States Kimberly P. Keil's profile →
Citations per field
00.5×1.5×
Kimberly P. Keil · 1×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201684
2 201980
3 201965
4 201963
5 201758
6 201758
7 201747
8 201843
9 202134
10 201930
11 201829
12 201625
13 201725
14 201724
15 201822
16 201822
17 202222
18 201921
19 202120
20 202019

About Sunjay Sethi

Sunjay Sethi is a scholar working on Health, Toxicology and Mutagenesis, Genetics, Nutrition and Dietetics, Cellular and Molecular Neuroscience and Biophysics, having authored 28 papers that have together received 868 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (14 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Genetics and Neurodevelopmental Disorders (6 papers), Virus-based gene therapy research (2 papers), Fatty Acid Research and Health (1 paper), Pesticide Exposure and Toxicity (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (434 citations), Urology (41 citations), Developmental Neuroscience (17 citations), Small Animals (34 citations) and Cellular and Molecular Neuroscience (52 citations). Sunjay Sethi has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Pamela J. Lein, Kimberly P. Keil, Machelle Wilson, Carolyn R. Klocke, Birgit Puschner, Isaac N. Pessah, Yanping Lin, Hans‐Joachim Lehmler, Xueshu Li and Rhianna K. Morgan. Their work appears in journals such as Toxicological Sciences, Archives of Toxicology, Environmental Science & Technology, Frontiers in Neuroscience and Environmental Research.

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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