Wei Mei

5.2k total citations · 1 hit paper
123 papers, 3.1k citations indexed

About

Wei Mei is a scholar working on Surgery, Physiology and Molecular Biology. According to data from OpenAlex, Wei Mei has authored 123 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 33 papers in Physiology and 22 papers in Molecular Biology. Recurrent topics in Wei Mei's work include Pain Mechanisms and Treatments (27 papers), Anesthesia and Pain Management (21 papers) and Anesthesia and Sedative Agents (11 papers). Wei Mei is often cited by papers focused on Pain Mechanisms and Treatments (27 papers), Anesthesia and Pain Management (21 papers) and Anesthesia and Sedative Agents (11 papers). Wei Mei collaborates with scholars based in China, United States and Hong Kong. Wei Mei's co-authors include Ya‐Qun Zhou, Yifan Jia, Chang Chen, Zhengyuan Xia, Danyong Liu, Shaoqing Lei, Jingli Chen, Fang Jiang, Wating Su and Liangqing Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Wei Mei

115 papers receiving 3.0k citations

Hit Papers

Clinical characteristics and outcomes of patients undergo... 2020 2026 2022 2024 2020 250 500 750

Peers

Wei Mei
Comparison fields: 5 of 142
  • Oncology 860
  • Surgery 622
  • Molecular Biology 611
  • Physiology 513
  • Infectious Diseases 361
Replace Tsuyoshi Fukuda with:
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Daniel J. Cole United States
Peter Doran Ireland
Yi‐Ju Li United States
Patrice Forget Belgium
Manfred Thiel Germany
Qulian Guo China
Patrick Maison France
Johannes H. Proost Netherlands
Andrea Fontana Italy
Tsuyoshi Fukuda United States View profile →
Citations per field, relative to Wei Mei
Wei Mei · 1×
Citations per year, relative to Wei Mei
Wei Mei · 1×

Countries citing papers authored by Wei Mei

Since Specialization
Citations

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

Fields of papers citing papers by Wei Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Mei. A scholar is included among the top collaborators of Wei Mei 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 Wei Mei. Wei Mei 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 0
4 0
5 4
6 3
7 14
8 3
9 37
10 53
11 22
12 22
13 1
14 8
15 5
16 11
17 11
18 29
19 73
20
The effect of Chinese Ephedra,Aconite and Asarum Decoction on Th1、Th2 and apoptosis of lymphocytes
1

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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