Jichan Shi

57 total papers · 1.1k total citations
24 papers, 437 citations indexed

About

Jichan Shi is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Jichan Shi has authored 24 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 14 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Jichan Shi's work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (9 papers) and COVID-19 Clinical Research Studies (7 papers). Jichan Shi is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (9 papers) and COVID-19 Clinical Research Studies (7 papers). Jichan Shi collaborates with scholars based in China and United States. Jichan Shi's co-authors include Xiangao Jiang, Guiqing He, Jianyi Dai, Zhengxing Wu, Jianping Huang, Tianxiao Zhang, Anasse Bari, Jing Cai, Megan Coffee and Xinyue Jiang and has published in prestigious journals such as Chemical Engineering Journal, BMC Medicine and Frontiers in Pharmacology.

In The Last Decade

Jichan Shi

20 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Jichan Shi 193 179 102 91 66 24 437
Shiraz Gefen-Halevi 132 0.7× 115 0.6× 80 0.8× 54 0.6× 12 0.2× 15 446
Dan Assaf 52 0.3× 180 1.0× 86 0.8× 39 0.4× 29 0.4× 34 493
Hirofumi Obinata 183 0.9× 124 0.7× 142 1.4× 40 0.4× 93 1.4× 17 491
Lionel Tim‐Ee Cheng 97 0.5× 161 0.9× 67 0.7× 36 0.4× 50 0.8× 31 439
Meng Su 250 1.3× 105 0.6× 35 0.3× 107 1.2× 25 0.4× 17 488
Md. Martuza Ahamad 70 0.4× 137 0.8× 145 1.4× 30 0.3× 17 0.3× 18 387
Anna Ostropolets 107 0.6× 22 0.1× 63 0.6× 57 0.6× 32 0.5× 33 448
P Swetha 34 0.2× 158 0.9× 157 1.5× 19 0.2× 9 0.1× 38 407
Adam L. Booth 66 0.3× 110 0.6× 46 0.5× 40 0.4× 8 0.1× 28 413
Gang Fang 63 0.3× 37 0.2× 37 0.4× 114 1.3× 17 0.3× 34 430

Countries citing papers authored by Jichan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jichan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jichan Shi

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