Xiaochun Shi

742 total citations
39 papers, 499 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 499 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, Min Shen, Xuan Zhang, Grażyna Rajkowska, Lee S. Friedman, Craig A. Stockmeier, Guohua Deng and Xiaofeng Zeng and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Xiaochun Shi

34 papers receiving 489 citations

Peers

Xiaochun Shi
Comparison fields: 5 of 76
  • Infectious Diseases 143
  • Surgery 142
  • Epidemiology 132
  • Molecular Biology 116
  • Rheumatology 90
Replace Giacomo Brisca with:
Giacomo Brisca Italy
Miriam Weinstein Canada
Rakan Bokhari Saudi Arabia
Mauro Canzian Brazil
C. Chantal Matkin United States
Bal Krishna Ojha India
Anthony Diaz United States
Christopher P. Jerome United States
Sigrid Whiteside United Kingdom
Satish V. Khadilkar India
Giacomo Brisca Italy View profile →
Citations per field, relative to Xiaochun Shi
Xiaochun Shi · 1×
Citations per year, relative to Xiaochun Shi
Xiaochun Shi · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 0
6 7
7 1
8 16
9 12
10 4
11 3
12 5
13 2
14 9
15 42
16 30
17 13
18 25
19 87
20 36

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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