Jing Tan

824 total citations
12 papers, 550 citations indexed

About

Jing Tan is a scholar working on Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Jing Tan has authored 12 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Cognitive Neuroscience. Recurrent topics in Jing Tan's work include Toxic Organic Pollutants Impact (8 papers), Air Quality and Health Impacts (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Jing Tan is often cited by papers focused on Toxic Organic Pollutants Impact (8 papers), Air Quality and Health Impacts (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Jing Tan collaborates with scholars based in Singapore, China and United Kingdom. Jing Tan's co-authors include Yap Seng Chong, A. Loganath, Jeffrey Philip Obbard, Man Xiao, Siu Kwan Sze, Mitchell K.P. Lai, Arnab Datta, Christopher Chen, Jasinda H. Lee and Yuek Ling Chai and has published in prestigious journals such as Environmental Science & Technology, Chemosphere and Journal of Affective Disorders.

In The Last Decade

Jing Tan

12 papers receiving 533 citations

Peers

Jing Tan
Comparison fields: 5 of 96
  • Health, Toxicology and Mutagenesis 409
  • Pollution 86
  • Cancer Research 75
  • Environmental Chemistry 55
  • Molecular Biology 39
Replace Tazuru Tsuboi with:
Tazuru Tsuboi Japan
Gianfranco Diletti Italy
Geniece M. Lehmann United States
Karin Kypke Netherlands
Colleen M. Makey United States
Rachel F. Marek United States
Marike M. Leijs Netherlands
Kazuhiro Tobiishi Japan
Tanja Krüger Denmark
Julia O. Udesky United States
Tazuru Tsuboi Japan View profile →
Citations per field, relative to Jing Tan
Jing Tan · 1×
Citations per year, relative to Jing Tan
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Countries citing papers authored by Jing Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jing Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Tan

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 1
2 2
3 23
4 2
5 23
6 102
7 5
8 33
9 61
10 18
11 112
12 168

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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