Keyan Yang

428 citations
26 papers · 291 · h-index 10

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics

Papers in

Keyan Yang

25 papers receiving 291 citations

Peers

Keyan Yang
Comparison fields: 5 of 74
  • Oncology 76
  • Cancer Research 32
  • Aging 4
  • Reproductive Medicine 16
  • Developmental Neuroscience 6
Replace Kojiro Ishibashi with:
Kojiro Ishibashi Japan
Liansheng Zhong China
А. П. Домнина Russia
Fazel Sahraneshin Samani Iran
Irina Kozhukharova Russia
Chunmeng Zhang United States
Sebastian Monecke Germany
Lian Zuo China
Jill Bayliss United States
Keyan Yang relative to Kojiro Ishibashi Japan Kojiro Ishibashi's profile →
Citations per field
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Kojiro Ishibashi · 1×
Citations per year

Countries citing papers authored by Keyan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Keyan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201870
2 202129
3 202025
4 202220
5 202319
6 201917
7 202112
8 200712
9 202411
10 202211
11 20249
12 20199
13 20237
14 20217
15 20226
16 20235
17 20244
18 20234
19 20203
20 20233

About Keyan Yang

Keyan Yang is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Molecular Biology, Developmental Neuroscience and Surgery, having authored 26 papers that have together received 291 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Advanced Cellulose Research Studies (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Oncology (76 citations), Cancer Research (32 citations), Aging (4 citations), Reproductive Medicine (16 citations) and Developmental Neuroscience (6 citations). Keyan Yang has collaborated with scholars based in China, United States and India. Frequent co-authors include Caixia Guo, Tie-Shan Tang, Chaoqiang An, Xi Wang, Yihan Wang, Yun Wang, Ying Hu, Henghui Zhang, Hui Zhang and Chuanchao Zhang. Their work appears in journals such as Frontiers in Oncology, Transplantation and Cellular Therapy, Biomedicines, Cell Death and Differentiation and British Journal of Haematology.

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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