Wentian Yang

4.3k citations
51 papers · 3.5k indexed · h-index 30

Impact in

  • Immunology top 2%
    • Galectins and Cancer Biology
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Protein Tyrosine Phosphatases
    • RNA modifications and cancer
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • Galectins and Cancer Biology 10
    • interferon and immune responses 4
    • Protein Tyrosine Phosphatases 34
    • RNA modifications and cancer 6
    • Bone Metabolism and Diseases 6
    • RNA Research and Splicing 5
    • PI3K/AKT/mTOR signaling in cancer 4

Wentian Yang

50 papers receiving 3.4k citations

Peers

Wentian Yang
Comparison fields: 5 of 107
  • Immunology 1.4k
  • Molecular Biology 2.2k
  • Oncology 750
  • Neurology 188
  • Hematology 234
Replace James R. Tonra with:
James R. Tonra United States
Shobha Thangada United States
Andrew C. Dudley United States
Alessandra Vacca Italy
Julie Guillermet‐Guibert France
Masatoshi Ichihara Japan
Hisao Hirota Japan
Juan Carlos Acosta United Kingdom
Anita C. Bellail United States
Yoko Aoki Japan
Wentian Yang relative to James R. Tonra United States James R. Tonra's profile →
Citations per field
00.5×2.9×
James R. Tonra · 1×
Citations per year

Countries citing papers authored by Wentian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wentian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20235
4 202218
5 202118
6 20201
7 201936
8 201838
9 201729
10 201718
11 201435
12 2013181
13 2010166
14 2007137
15 200714
16 2006219
17 200668
18 200534
19 2004369
20 199818

About Wentian Yang

Wentian Yang is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Genetics, having authored 51 papers that have together received 3.5k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (34 papers), Galectins and Cancer Biology (10 papers), Cytokine Signaling Pathways and Interactions (9 papers), RNA modifications and cancer (6 papers), Bone Metabolism and Diseases (6 papers), RNA Research and Splicing (5 papers), interferon and immune responses (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Immunology (1.4k citations), Molecular Biology (2.2k citations), Oncology (750 citations), Neurology (188 citations) and Hematology (234 citations). Wentian Yang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Benjamin G. Neel, Taolin Yi, Toshiyuki Araki, Karim Berrada, Mina Tabrizi, Huaiyuan Jiao, Jeffery L. Kutok, M. Golam Mohi, Eric O. Long and Leonidas C. Platanias. Their work appears in journals such as Blood, The FASEB Journal, Bone Research, Journal of Biological Chemistry and Leukemia.

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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