Tan Ma

25 total papers · 1.2k total citations
22 papers, 909 citations indexed

About

Tan Ma is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Tan Ma has authored 22 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Health, Toxicology and Mutagenesis and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Tan Ma's work include Effects and risks of endocrine disrupting chemicals (8 papers), Epigenetics and DNA Methylation (4 papers) and Birth, Development, and Health (4 papers). Tan Ma is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (8 papers), Epigenetics and DNA Methylation (4 papers) and Birth, Development, and Health (4 papers). Tan Ma collaborates with scholars based in China, Sweden and Hong Kong. Tan Ma's co-authors include Xiaodong Han, Jie Ding, Yabing Chen, Yuan Zhou, Xiannan Meng, Haibo Jin, Zhenyu Liu, Jiwei Hou, Dongmei Li and Zou Xiang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Tan Ma

20 papers receiving 903 citations

Hit Papers

Polystyrene microplastics... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tan Ma 485 305 163 155 152 22 909
Xiannan Meng 443 0.9× 231 0.8× 216 1.3× 150 1.0× 139 0.9× 24 941
Leonie Aengenheister 262 0.5× 221 0.7× 92 0.6× 133 0.9× 256 1.7× 20 840
Lingyue Zou 249 0.5× 238 0.8× 247 1.5× 128 0.8× 254 1.7× 28 886
Shuwei Wang 315 0.6× 123 0.4× 181 1.1× 104 0.7× 126 0.8× 36 948
Ting Deng 474 1.0× 366 1.2× 100 0.6× 168 1.1× 151 1.0× 35 886
Yunxia Ji 360 0.7× 106 0.3× 246 1.5× 163 1.1× 147 1.0× 44 1.0k
Claudio Vismara 276 0.6× 448 1.5× 101 0.6× 56 0.4× 104 0.7× 36 891
Chin-King Looi 524 1.1× 94 0.3× 130 0.8× 318 2.1× 137 0.9× 10 863
Alessia Belloni 446 0.9× 110 0.4× 104 0.6× 291 1.9× 69 0.5× 24 866
Lianju Shen 222 0.5× 474 1.6× 284 1.7× 46 0.3× 53 0.3× 45 990

Countries citing papers authored by Tan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Tan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tan Ma

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

All Works

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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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