Mei Shi

538 citations
12 papers · 426 indexed · h-index 9
Topics
Virus-based gene therapy research (2 papers)Platelet Disorders and Treatments (2 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Mei Shi

12 papers receiving 404 citations

Peers

Mei Shi
Comparison fields: 5 of 70
  • Molecular Biology 261
  • Genetics 90
  • Cell Biology 89
  • Immunology 78
  • Immunology and Allergy 75
Replace Jean Richa with:
Jean Richa United States
Jiajia Bi China
Sudha Swamynathan United States
Mi Sook Chang United States
Gabriela Calounova Sweden
Sonya Kamdar United States
Jörg Dennig Germany
Masao Nöda Japan
Marina Démoz Italy
Kangjin Jeong United States
Mei Shi relative to Jean Richa United States Jean Richa's profile →
Citations per field
00.5×10×15×
Jean Richa · 1×
Citations per year

Countries citing papers authored by Mei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Shi. A scholar is included among the top collaborators of Mei 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 Mei Shi. Mei Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 5
2 2
3 2
4 22
5 33
6 57
7 54
8 35
9 88
10 79
11 40
12
Cellular localization of the target structures recognized by the anti-Jo-1 antibody: immunofluorescence studies on cultured human myoblasts.
9

About Mei Shi

Mei Shi is a scholar working on Immunology and Allergy, Hematology and Immunology, having authored 12 papers that have together received 426 indexed citations. Recurring topics across this work include Virus-based gene therapy research (2 papers), Platelet Disorders and Treatments (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Immunology and Allergy (75 citations), Cell Biology (89 citations) and Reproductive Medicine (39 citations). Mei Shi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Kathryn Dennis, Katalin Mikecz, Jonathan H. Kim, Alain Rolland, Hector W. Alila, Raman Chandrasekaran, Jacques J. Peschon, J.G. Duguid, Cynthia Li and Louis C. Smith. Their work appears in journals such as The Journal of Immunology, Biophysical Journal and Molecular Endocrinology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026