Chao Shi

77 total papers · 6.1k total citations
47 papers, 4.7k citations indexed

About

Chao Shi is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Chao Shi has authored 47 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 12 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Chao Shi's work include Leprosy Research and Treatment (9 papers), Immune Response and Inflammation (8 papers) and Infectious Diseases and Tuberculosis (6 papers). Chao Shi is often cited by papers focused on Leprosy Research and Treatment (9 papers), Immune Response and Inflammation (8 papers) and Infectious Diseases and Tuberculosis (6 papers). Chao Shi collaborates with scholars based in China, United States and Brazil. Chao Shi's co-authors include Eric G. Pamer, Tobias M. Hohl, Lauren Lipuma, Ingrid M. Leiner, Natalya V. Serbina, Runhui Liu, Qi Chen, Donghui Zhang, Minzhang Chen and Michele Equinda and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Chao Shi

43 papers receiving 4.7k citations

Hit Papers

Monocyte recruitment duri... 2011 2026 2016 2021 2011 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Chao Shi 2.3k 1.2k 715 534 514 47 4.7k
Elżbieta Kołaczkowska 4.0k 1.7× 1.7k 1.4× 859 1.2× 323 0.6× 550 1.1× 71 6.8k
Aisling Dunne 2.9k 1.2× 1.6k 1.3× 585 0.8× 191 0.4× 383 0.7× 65 5.2k
Luis Filgueira 2.3k 1.0× 1.1k 0.9× 705 1.0× 714 1.3× 507 1.0× 142 5.7k
Laura Helming 2.2k 0.9× 1.3k 1.1× 550 0.8× 254 0.5× 493 1.0× 25 4.3k
Xiaoqing Wei 2.5k 1.1× 1.7k 1.4× 929 1.3× 507 0.9× 523 1.0× 81 5.7k
Carlos Rosales 2.8k 1.2× 1.7k 1.4× 590 0.8× 448 0.8× 567 1.1× 90 5.8k
Andrea Vecchi 3.4k 1.5× 1.5k 1.2× 1.0k 1.4× 239 0.4× 876 1.7× 70 6.3k
Paola Italiani 2.2k 0.9× 1.2k 1.0× 373 0.5× 212 0.4× 388 0.8× 66 4.4k
Robert D. Nelson 2.2k 1.0× 1.5k 1.2× 727 1.0× 806 1.5× 494 1.0× 83 5.7k
Javier Mestas 2.1k 0.9× 1.3k 1.1× 593 0.8× 288 0.5× 1.1k 2.2× 23 4.7k

Countries citing papers authored by Chao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Shi

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