Yuanli Shi

24 total papers · 6.1k total citations
21 papers, 3.9k citations indexed

About

Yuanli Shi is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions and Pollution. According to data from OpenAlex, Yuanli Shi has authored 21 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Health, Toxicology and Mutagenesis, 5 papers in General Health Professions and 5 papers in Pollution. Recurrent topics in Yuanli Shi's work include Air Quality and Health Impacts (18 papers), Climate Change and Health Impacts (15 papers) and Energy and Environment Impacts (5 papers). Yuanli Shi is often cited by papers focused on Air Quality and Health Impacts (18 papers), Climate Change and Health Impacts (15 papers) and Energy and Environment Impacts (5 papers). Yuanli Shi collaborates with scholars based in Canada, United States and China. Yuanli Shi's co-authors include Daniel Krewski, Richard T. Burnett, Michael Jerrett, C. Arden Pope, Michael J. Thun, Eugenia E. Calle, George D. Thurston, Kazuhiko Ito, Yue Chen and Norm Finkelstein and has published in prestigious journals such as New England Journal of Medicine, Circulation and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Yuanli Shi

21 papers receiving 3.7k citations

Hit Papers

Long-Term Ozone Exposure ... 2005 2026 2012 2019 2009 2005 2009 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Yuanli Shi 3.3k 918 761 712 431 21 3.9k
Aidan McDermott 3.2k 1.0× 996 1.1× 557 0.7× 624 0.9× 333 0.8× 28 4.5k
S Médina 3.0k 0.9× 887 1.0× 440 0.6× 596 0.8× 582 1.4× 36 3.6k
Joel Schwartz 4.0k 1.2× 1.1k 1.2× 605 0.8× 765 1.1× 360 0.8× 74 5.1k
Joel Schwartz 4.2k 1.3× 1.2k 1.3× 562 0.7× 663 0.9× 250 0.6× 46 5.1k
Mark Raizenne 3.4k 1.0× 1.1k 1.2× 490 0.6× 500 0.7× 354 0.8× 43 4.2k
Michał Krzyżanowski 3.2k 1.0× 1.1k 1.2× 756 1.0× 667 0.9× 544 1.3× 75 4.5k
Keita Ebisu 4.1k 1.2× 960 1.0× 722 0.9× 1.1k 1.5× 291 0.7× 55 4.9k
Alexandros Gryparis 3.2k 1.0× 854 0.9× 400 0.5× 683 1.0× 398 0.9× 70 3.9k
Heather Walton 2.2k 0.7× 730 0.8× 355 0.5× 362 0.5× 258 0.6× 50 2.7k
Luu Pham 2.1k 0.6× 655 0.7× 352 0.5× 351 0.5× 203 0.5× 21 3.3k

Countries citing papers authored by Yuanli Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yuanli Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanli Shi

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