Xiaochun Shi

67 total papers · 733 total citations
39 papers, 494 citations indexed

About

Xiaochun Shi is a scholar working on Surgery, Epidemiology and Infectious Diseases. According to data from OpenAlex, Xiaochun Shi has authored 39 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 17 papers in Epidemiology and 16 papers in Infectious Diseases. Recurrent topics in Xiaochun Shi's work include Tuberculosis Research and Epidemiology (16 papers), Infectious Diseases and Tuberculosis (15 papers) and Mycobacterium research and diagnosis (9 papers). Xiaochun Shi is often cited by papers focused on Tuberculosis Research and Epidemiology (16 papers), Infectious Diseases and Tuberculosis (15 papers) and Mycobacterium research and diagnosis (9 papers). Xiaochun Shi collaborates with scholars based in China, United States and United Kingdom. Xiaochun Shi's co-authors include Xiaoqing Liu, Lifan Zhang, Yueqiu Zhang, Grażyna Rajkowska, Craig A. Stockmeier, Min Shen, Lee S. Friedman, Xuan Zhang, Guohua Deng and Xuemei Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Xiaochun Shi

32 papers receiving 484 citations

Author Peers

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

Author						Papers	Cites
Xiaochun Shi	142	139	131	116	90	39	494
Terrence Thomas	114 0.8×	127 0.9×	75 0.6×	60 0.5×	45 0.5×	35	541
Tetsuya Kimura	57 0.4×	111 0.8×	42 0.3×	86 0.7×	53 0.6×	42	485
Behnaz Ansari	66 0.5×	65 0.5×	111 0.8×	64 0.6×	29 0.3×	55	424
Sara Simeoni	56 0.4×	118 0.8×	90 0.7×	49 0.4×	175 1.9×	42	550
Brijendra Singh	106 0.7×	59 0.4×	81 0.6×	69 0.6×	34 0.4×	35	472
Mauro Canzian	81 0.6×	144 1.0×	62 0.5×	89 0.8×	21 0.2×	45	527
Christopher Troedson	84 0.6×	32 0.2×	122 0.9×	146 1.3×	45 0.5×	29	518
Sang-Jun Na	28 0.2×	45 0.3×	118 0.9×	97 0.8×	81 0.9×	47	452
Brown Em	35 0.2×	168 1.2×	68 0.5×	72 0.6×	63 0.7×	22	539
Lucía Muñoz-Narbona	55 0.4×	83 0.6×	145 1.1×	46 0.4×	21 0.2×	35	488

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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