Chao Shi

6.2k citations
47 papers · 4.8k indexed · 1 hit paper · h-index 22
Topics
Leprosy Research and Treatment (9 papers)Immune Response and Inflammation (8 papers)Mycobacterium research and diagnosis (6 papers)
Partner nations
ChinaUnited StatesBrazil

In The Last Decade

Chao Shi

43 papers receiving 4.7k citations

Hit Papers

Monocyte recruitment during infection and inflammation2011202620162021201150010001.5k2.0k

Peers

Chao Shi
Comparison fields: 5 of 137
  • Immunology 2.3k
  • Molecular Biology 1.2k
  • Epidemiology 716
  • Infectious Diseases 535
  • Oncology 517
Replace Elżbieta Kołaczkowska with:
Elżbieta Kołaczkowska Poland
Luis Filgueira Switzerland
Andrea Vecchi Italy
Paola Italiani Italy
Frederik Dagnæs‐Hansen Denmark
Aisling Dunne Ireland
Salomon Amar United States
Asma Nusrat United States
Kim S. Midwood United Kingdom
Xiaoqing Wei United Kingdom
Chao Shi relative to Elżbieta Kołaczkowska Poland Elżbieta Kołaczkowska's profile →
Citations per field
00.5×1.6×
Elżbieta Kołaczkowska · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 6
5 18
6 83
7 61
8 2
9 233
10 3
11 25
12 30
13 38
14 353
15 69
16 10
17
Monocyte recruitment during infection and inflammationbreakdown →
2243
18
Monocyte trafficking to hepatic sites of bacterial infection is chemokine independent and directed by focal intercellular adhesion molecule-1 expression (J. Immunol. (2010) 184 (6266-6274))
4
19 84
20 281

About Chao Shi

Chao Shi is a scholar working on Infectious Diseases, Immunology and Sensory Systems, having authored 47 papers that have together received 4.8k indexed citations. Recurring topics across this work include Leprosy Research and Treatment (9 papers), Immune Response and Inflammation (8 papers) and Mycobacterium research and diagnosis (6 papers). The work is most often cited by research in Immunology (2.3k citations), Neurology (341 citations) and Infectious Diseases (535 citations). Chao Shi has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Eric G. Pamer, Tobias M. Hohl, Lauren Lipuma, Ingrid M. Leiner, Natalya V. Serbina, Runhui Liu, Minzhang Chen, Qi Chen, Donghui Zhang and Michele Equinda. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and Immunity.

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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