Seenivasan Subbiah

1.6k citations
55 papers · 1.3k · h-index 20

Impact in

Papers in

Seenivasan Subbiah

52 papers receiving 1.2k citations

Peers

Seenivasan Subbiah
Comparison fields: 5 of 105
  • Pollution 515
  • Health, Toxicology and Mutagenesis 376
  • Analytical Chemistry 238
  • Environmental Chemistry 232
  • Industrial and Manufacturing Engineering 195
Replace Shaoting Du with:
Shaoting Du China
Salvatore Barreca Italy
Silvia Illuminati Italy
Isabelle Laffont‐Schwob France
Wan-Loy Chu Malaysia
Rohit Kumar Mishra India
Jang‐Eok Kim South Korea
Mercè Llugany Spain
Jodi R. Shann United States
Sara Taha Abdelkhalek China
Seenivasan Subbiah relative to Shaoting Du China Shaoting Du's profile →
Citations per field
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Citations per year

Countries citing papers authored by Seenivasan Subbiah

Since Specialization
Citations

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

Fields of papers citing papers by Seenivasan Subbiah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Seenivasan Subbiah, 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 Seenivasan Subbiah Line = papers co-authored together Seenivasan Subbiah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017184
2 2020148
3 2007120
4 201863
5 201862
6 200850
7 200848
8 202038
9 202033
10 201933
11 200731
12 201030
13 201727
14 201626
15 202025
16 201924
17 201923
18 201921
19 201621
20 202221

About Seenivasan Subbiah

Seenivasan Subbiah is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry, Pollution, Atmospheric Science and Plant Science, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (14 papers), Per- and polyfluoroalkyl substances research (12 papers), Atmospheric chemistry and aerosols (10 papers), Insect and Pesticide Research (7 papers), Pesticide Residue Analysis and Safety (7 papers), Heavy Metals in Plants (6 papers), Environmental Toxicology and Ecotoxicology (6 papers) and Insect Pest Control Strategies (5 papers). The work is most often cited by research in Pollution (515 citations), Health, Toxicology and Mutagenesis (376 citations), Analytical Chemistry (238 citations), Environmental Chemistry (232 citations) and Industrial and Manufacturing Engineering (195 citations). Seenivasan Subbiah has collaborated with scholars based in United States, Mexico and Türkiye. Frequent co-authors include Todd A. Anderson, Narayanan Nair Muraleedharan, Adcharee Karnjanapiboonwong, Jaclyn E. Cañas‐Carrell, Steven Lasee, Micah J. Green, William A. Thompson, Xiaofei Zhao, John Kasumba and Armando Elizalde‐Velázquez. Their work appears in journals such as Environmental Toxicology and Chemistry, Environmental Science & Technology, Chemosphere, Integrated Environmental Assessment and Management and Environmental Monitoring and Assessment.

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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