Wenbin Wei

9.2k citations
134 papers · 4.5k indexed · h-index 40

Impact in

  • Oncology top 2%
    • Viral-associated cancers and disorders
    • Cancer-related molecular mechanisms research

Papers in

Wenbin Wei

130 papers receiving 4.5k citations

Peers

Wenbin Wei
Comparison fields: 5 of 134
  • Oncology 1.5k
  • Cancer Research 714
  • Pathology and Forensic Medicine 678
  • Immunology 767
  • Molecular Biology 2.3k
Replace Jane E. Armes with:
Jane E. Armes Australia
Salvatore Venuta Italy
Fabien Calvo France
Kenneth E. Lipson United States
Paul Haluska United States
Lars L. Vindeløv Denmark
Trond Stokke Norway
Joon‐Yong Chung United States
Kimberly R. Kalli United States
Johan Botling Sweden
Wenbin Wei relative to Jane E. Armes Australia Jane E. Armes's profile →
Citations per field
00.5×1.5×2.2×
Jane E. Armes · 1×
Citations per year

Countries citing papers authored by Wenbin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Wenbin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wenbin Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wenbin Wei Line = papers co-authored together Wenbin Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20245
5 20244
6 20227
7 20224
8 20229
9 202019
10 20197
11 201943
12 201834
13 201659
14 201511
15 201419
16
mGluR3 promotes proliferation of human embryonic cortical neural progenitor cells by activating ERK1/2 and JNK2 signaling pathway in vitro.
20148
17
Gene expression and protein array studies of folliculin-regulated pathways.
20125
18 201115
19
Thoughts on the Development of the Cultural Industry
20090
20 200714

About Wenbin Wei

Wenbin Wei is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Molecular Biology and Spectroscopy, having authored 134 papers that have together received 4.5k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (21 papers), Lymphoma Diagnosis and Treatment (17 papers), Immune Cell Function and Interaction (15 papers), Advanced Proteomics Techniques and Applications (12 papers), Epigenetics and DNA Methylation (12 papers), Cancer-related gene regulation (8 papers), RNA modifications and cancer (6 papers) and Bladder and Urothelial Cancer Treatments (6 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (714 citations), Pathology and Forensic Medicine (678 citations), Immunology (767 citations) and Molecular Biology (2.3k citations). Wenbin Wei has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Lawrence S. Young, Paul G. Murray, Keith Lindsey, Martina Vockerodt, Douglas G. Ward, Jennifer F. Topping, Philip J. Johnson, Karl R. N. Baumforth, Lee Fah Yap and William O. Dawson. Their work appears in journals such as British Journal of Cancer, The Journal of Pathology, Blood, Scientific Reports and Cancers.

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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