Min Wei

1.2k total citations
38 papers, 873 citations indexed

About

Min Wei is a scholar working on Molecular Biology, Rheumatology and Physiology. According to data from OpenAlex, Min Wei has authored 38 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Rheumatology and 7 papers in Physiology. Recurrent topics in Min Wei's work include Adolescent and Pediatric Healthcare (4 papers), Skin Protection and Aging (4 papers) and Systemic Lupus Erythematosus Research (4 papers). Min Wei is often cited by papers focused on Adolescent and Pediatric Healthcare (4 papers), Skin Protection and Aging (4 papers) and Systemic Lupus Erythematosus Research (4 papers). Min Wei collaborates with scholars based in China, United States and Switzerland. Min Wei's co-authors include Michael A. Caligiuri, Danilo Perrotti, Jianhua Yu, Fan Liu, Zhiyao Wang, Chao Ma, Yuguang Huang, Yue Qiu, Le Shen and Rossana Trotta and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Min Wei

33 papers receiving 863 citations

Peers

Min Wei
Comparison fields: 5 of 93
  • Molecular Biology 245
  • Immunology 231
  • Hematology 163
  • Physiology 158
  • Oncology 144
Replace Berta Martins da Silva with:
Berta Martins da Silva Portugal
Ulrike Haus Germany
Man Tang Netherlands
Kerstin Klein Switzerland
Liron Walsh United States
Wendy J. Introne United States
Silvia Racca Italy
Giancarlo Avanzi Italy
Kerstin Westermark Sweden
Rosaria Ilaria Staiano Italy
Berta Martins da Silva Portugal View profile →
Citations per field, relative to Min Wei
Min Wei · 1×
Citations per year, relative to Min Wei
Min Wei · 1×

Countries citing papers authored by Min Wei

Since Specialization
Citations

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

Fields of papers citing papers by Min Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Min Wei. A scholar is included among the top collaborators of Min Wei 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 Min Wei. Min Wei 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 1
2 0
3 0
4 0
5 10
6 24
7 4
8 16
9 19
10 77
11 27
12 12
13
[Mutations of NOD2 gene and clinical features in Chinese Blau syndrome patients].
2
14 32
15 27
16 24
17 207
18
Study of application of the chinese version of CHIP for parents of children with chronic disease
3
19
Regional disparity and localization of cost-recovery in Chinese higher education
0
20 10

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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