Jin Shi

60 total papers · 1.1k total citations
33 papers, 628 citations indexed

About

Jin Shi is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Jin Shi has authored 33 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Jin Shi's work include Lung Cancer Research Studies (5 papers), Pleural and Pulmonary Diseases (4 papers) and Occupational and environmental lung diseases (3 papers). Jin Shi is often cited by papers focused on Lung Cancer Research Studies (5 papers), Pleural and Pulmonary Diseases (4 papers) and Occupational and environmental lung diseases (3 papers). Jin Shi collaborates with scholars based in China, United States and Malaysia. Jin Shi's co-authors include Xinmei Kang, Shoubo Cao, Xiao‐Jun Huang, Q. Zhang, Shanqi Xu, Qingwei Meng, Laijun Song, Shuling Liu, Ahmad Kaleem Qureshi and Jingxuan Wang and has published in prestigious journals such as Scientific Reports, Annals of Oncology and Frontiers in Immunology.

In The Last Decade

Jin Shi

27 papers receiving 612 citations

Author Peers

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

Author Last Decade Papers Cites
Jin Shi 204 200 161 106 73 33 628
Masaru Hasumi 106 0.5× 247 1.2× 130 0.8× 139 1.3× 124 1.7× 26 640
Wafaey Gomaa 179 0.9× 190 0.9× 143 0.9× 70 0.7× 26 0.4× 47 612
Xufeng Guo 134 0.7× 272 1.4× 123 0.8× 98 0.9× 44 0.6× 37 729
Janice García‐Quiroz 166 0.8× 310 1.6× 161 1.0× 65 0.6× 67 0.9× 39 677
Valentina Aristarco 237 1.2× 305 1.5× 103 0.6× 78 0.7× 100 1.4× 30 579
Colinda C.J.M. Simons 301 1.5× 244 1.2× 188 1.2× 67 0.6× 62 0.8× 38 690
Nicolas Albin 305 1.5× 249 1.2× 209 1.3× 65 0.6× 109 1.5× 34 661
Reiji Terasaka 170 0.8× 133 0.7× 135 0.8× 95 0.9× 84 1.2× 32 591
Karishma Gupta 91 0.4× 355 1.8× 104 0.6× 84 0.8× 36 0.5× 30 702
N. Lee 141 0.7× 142 0.7× 58 0.4× 114 1.1× 36 0.5× 51 559

Countries citing papers authored by Jin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Shi

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