Beiyang Wei

1.3k citations
19 papers · 1.1k · h-index 13

Impact in

Papers in

    • Protease and Inhibitor Mechanisms 13
    • Angiogenesis and VEGF in Cancer 3
    • Signaling Pathways in Disease 2
    • Protein Tyrosine Phosphatases 2
    • RNA Research and Splicing 2

Beiyang Wei

19 papers receiving 1.1k citations

Peers

Beiyang Wei
Comparison fields: 5 of 81
  • Cancer Research 519
  • Immunology and Allergy 169
  • Oncology 334
  • Hematology 115
  • Nephrology 68
Replace Rajeev Mahimkar with:
Rajeev Mahimkar United States
Annemieke A. van Kraats Netherlands
Ralf‐Peter Czekay United States
Ida Katrine Lund Denmark
Ivan G. Gomez United States
Reinhard Kelsch Germany
YongYao Xu United States
M Keeton United States
Tingliang Shen United States
Beiyang Wei relative to Rajeev Mahimkar United States Rajeev Mahimkar's profile →
Citations per field
00.5×1.6×
Rajeev Mahimkar · 1×
Citations per year

Countries citing papers authored by Beiyang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Beiyang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beiyang 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 Beiyang Wei Line = papers co-authored together Beiyang Wei links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2003425
2 2005121
3 2004101
4 200082
5 201362
6 201156
7 201252
8 200844
9 200133
10 201830
11 201029
12 201719
13 201512
14 19998
15 20068
16 20152
17 20161
18 19921
19 20171

About Beiyang Wei

Beiyang Wei is a scholar working on Cancer Research, Molecular Biology, Oncology, Immunology and Allergy and Immunology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (13 papers), Cell Adhesion Molecules Research (6 papers), Peptidase Inhibition and Analysis (6 papers), Angiogenesis and VEGF in Cancer (3 papers), Signaling Pathways in Disease (2 papers), Protein Tyrosine Phosphatases (2 papers), Enzyme Production and Characterization (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (519 citations), Immunology and Allergy (169 citations), Oncology (334 citations), Hematology (115 citations) and Nephrology (68 citations). Beiyang Wei has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include William G. Stetler‐Stevenson, Dong Wan Seo, Hongmei Li, Liliana Guédez, Paul T. Wingfield, Dimitra Bourboulia, Junseo Oh, Sandra Jensen-Taubman, Young Sik Kim and Mark H. Stoler. Their work appears in journals such as The FASEB Journal, Oncotarget, Arteriosclerosis Thrombosis and Vascular Biology, iScience and Virus Research.

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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