Xiaochun Shi

8 total papers · 408 total citations
7 papers, 309 citations indexed

About

Xiaochun Shi is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Molecular Biology. According to data from OpenAlex, Xiaochun Shi has authored 7 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 4 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Xiaochun Shi's work include Carcinogens and Genotoxicity Assessment (3 papers), Toxic Organic Pollutants Impact (2 papers) and Air Quality and Health Impacts (1 paper). Xiaochun Shi is often cited by papers focused on Carcinogens and Genotoxicity Assessment (3 papers), Toxic Organic Pollutants Impact (2 papers) and Air Quality and Health Impacts (1 paper). Xiaochun Shi collaborates with scholars based in United States and China. Xiaochun Shi's co-authors include Ashley Murray, Anna A. Shvedova, Olga Gorelik, Valerian E. Kagan, Michael P. Keane, Vincent Castranova, Sivaram Arepalli, W.E. Wallace, Diane Schwegler‐Berry and Elena R. Kisin and has published in prestigious journals such as Chemosphere, Environmental Toxicology and Chemistry and Chemical Research in Toxicology.

In The Last Decade

Xiaochun Shi

7 papers receiving 303 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaochun Shi 182 99 82 70 67 7 309
Emilio Di Ianni 139 0.8× 69 0.7× 76 0.9× 30 0.4× 48 0.7× 13 288
Nicola A. Philbrook 169 0.9× 135 1.4× 59 0.7× 47 0.7× 39 0.6× 11 350
Raju Y. Prasad 269 1.5× 71 0.7× 94 1.1× 39 0.6× 77 1.1× 7 346
Rina Guadagnini 219 1.2× 61 0.6× 79 1.0× 31 0.4× 67 1.0× 8 306
Erik Rushton 185 1.0× 109 1.1× 70 0.9× 19 0.3× 37 0.6× 13 323
Elisabeth Elje 106 0.6× 61 0.6× 75 0.9× 38 0.5× 42 0.6× 11 233
Keigo Matsuyama 211 1.2× 85 0.9× 95 1.2× 18 0.3× 53 0.8× 9 343
Yasutaro Nakazato 200 1.1× 84 0.8× 91 1.1× 18 0.3× 50 0.7× 3 319
Marie-Caroline Borot 120 0.7× 173 1.7× 41 0.5× 26 0.4× 64 1.0× 5 324
Mathias Könczöl 110 0.6× 171 1.7× 49 0.6× 31 0.4× 42 0.6× 7 343

Countries citing papers authored by Xiaochun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochun Shi. A scholar is included among the top collaborators of Xiaochun Shi 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 Xiaochun Shi. Xiaochun Shi 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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2026