Song Tang

7.6k total citations · 1 hit paper
168 papers, 5.4k citations indexed

About

Song Tang is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Environmental Chemistry. According to data from OpenAlex, Song Tang has authored 168 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Health, Toxicology and Mutagenesis, 32 papers in Molecular Biology and 18 papers in Environmental Chemistry. Recurrent topics in Song Tang's work include Toxic Organic Pollutants Impact (31 papers), Effects and risks of endocrine disrupting chemicals (25 papers) and Air Quality and Health Impacts (24 papers). Song Tang is often cited by papers focused on Toxic Organic Pollutants Impact (31 papers), Effects and risks of endocrine disrupting chemicals (25 papers) and Air Quality and Health Impacts (24 papers). Song Tang collaborates with scholars based in China, United States and Canada. Song Tang's co-authors include Marie T. Filbin, María Elena de Bellard, Xiaoming Shi, Dongming Cai, John P. Giesy, Markus Hecker, John S. Ji, Lijun Pan, Gregory D. Mayer and Hongling Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Song Tang

157 papers receiving 5.3k citations

Hit Papers

Aerosol transmission of SARS-CoV-2? Evidence, prevention ... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Song Tang
Comparison fields: 5 of 179
  • Health, Toxicology and Mutagenesis 1.7k
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 895
  • Pollution 681
  • Environmental Chemistry 656
Replace Jiangping Wu with:
Jiangping Wu China
David C. Dorman United States
Aldert H. Piersma Netherlands
Yun Wang China
Chao Wang China
Carole L. Yauk Canada
Masaaki Kurasaki Japan
Jun Kanno Japan
Harald F. Krug Switzerland
Yuepu Pu China
Jiangping Wu China View profile →
Citations per field, relative to Song Tang
Song Tang · 1×
Citations per year, relative to Song Tang
Song Tang · 1×

Countries citing papers authored by Song Tang

Since Specialization
Citations

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

Fields of papers citing papers by Song Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Song Tang. A scholar is included among the top collaborators of Song Tang 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 Song Tang. Song Tang 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
# Work Indexed citations
1 1
2 1
3 0
4 2
5 3
6 2
7 1
8 3
9 2
10 11
11 13
12 14
13 7
14 22
15 5
16 3
17 4
18 29
19 30
20 77

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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