Jun Wei

4.2k total citations · 1 hit paper
73 papers, 2.8k citations indexed

About

Jun Wei is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jun Wei has authored 73 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 30 papers in Immunology and 16 papers in Oncology. Recurrent topics in Jun Wei's work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (11 papers) and CAR-T cell therapy research (7 papers). Jun Wei is often cited by papers focused on Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (11 papers) and CAR-T cell therapy research (7 papers). Jun Wei collaborates with scholars based in China, United States and United Kingdom. Jun Wei's co-authors include Hongbo Chi, Lingyun Long, Kai Yang, Yogesh Dhungana, Peter Vogel, Cliff Guy, Jordy Saravia, Geoffrey Neale, Seon Ah Lim and Zhinan Yin and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jun Wei

71 papers receiving 2.8k citations

Hit Papers

Lipid signalling enforces functional specialization of Tr... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers

Jun Wei
Comparison fields: 5 of 121
  • Molecular Biology 1.3k
  • Immunology 1.1k
  • Oncology 655
  • Cancer Research 468
  • Epidemiology 392
Replace Jingwei Ma with:
Jingwei Ma China
Chunqing Guo United States
Xiawei Wei China
Moshe Elkabets Israel
Edwin Bremer Netherlands
Chirag H. Patel United States
Gangwen Han United States
Sònia Tugues Switzerland
Giusy Di Conza Italy
Jingwei Ma China View profile →
Citations per field, relative to Jun Wei
Jun Wei · 1×
Citations per year, relative to Jun Wei
Jun Wei · 1×

Countries citing papers authored by Jun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wei. A scholar is included among the top collaborators of Jun 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 Jun Wei. Jun 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 0
2 0
3 2
4 9
5 7
6 5
7 15
8
Lipid signalling enforces functional specialization of Treg cells in tumours breakdown →
286
9 95
10 39
11 53
12 281
13 3
14 33
15
Inhibitory Role of Natural IgG Antibodies against VEGFR1 in the Proliferation of Pancreatic Cancer
1
16 33
17 23
18 55
19 20
20 132

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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