Peiwei Yang

692 citations
14 papers · 519 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • CAR-T cell therapy research 5
    • RNA modifications and cancer 2
    • RNA Research and Splicing 2
    • CRISPR and Genetic Engineering 1

Peiwei Yang

14 papers receiving 517 citations

Peers

Peiwei Yang
Comparison fields: 5 of 64
  • Cancer Research 133
  • Oncology 171
  • Immunology 100
  • Molecular Biology 244
  • Applied Microbiology and Biotechnology 5
Replace Carlos Ortuño‐Pineda with:
Carlos Ortuño‐Pineda Mexico
Sylvie Reveneau France
Xinrong Luo China
Qiyi Yi China
Afshin Nikkhoo Iran
Jana Rolff Germany
Xiaosan Su China
Nada S. Aboelella United States
Dayanira Alsina‐Beauchamp Spain
Peiwei Yang relative to Carlos Ortuño‐Pineda Mexico Carlos Ortuño‐Pineda's profile →
Citations per field
00.5×1.5×2.1×
Carlos Ortuño‐Pineda · 1×
Citations per year

Countries citing papers authored by Peiwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Peiwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201884
2 202173
3 202060
4 201957
5 201845
6 202043
7 202139
8 202129
9 202225
10 202023
11 202219
12 202313
13 20248
14 20171

About Peiwei Yang

Peiwei Yang is a scholar working on Oncology, Molecular Biology, Immunology, Pharmacology and Cancer Research, having authored 14 papers that have together received 519 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (2 papers), Flavonoids in Medical Research (2 papers), Immune Cell Function and Interaction (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA Research and Splicing (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (133 citations), Oncology (171 citations), Immunology (100 citations), Molecular Biology (244 citations) and Applied Microbiology and Biotechnology (5 citations). Peiwei Yang has collaborated with scholars based in China, Australia and France. Frequent co-authors include Mengwei Li, Hanmei Xu, Heming Wu, Shou‐Mei Wang, Xiaojun Feng, Hanmei Xu, Yinan Zhang, Erhao Zhang, Shu‐Hui Zhang and Xiangying Chen. Their work appears in journals such as Journal of the American Chemical Society, Cell Death and Disease, Chemical Engineering Journal, Journal of Hematology & Oncology and Frontiers in Oncology.

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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