Peiying Ye

747 citations
16 papers · 515 · h-index 9

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3
    • Immune cells in cancer 2
    • Epigenetics and DNA Methylation 2

Peiying Ye

15 papers receiving 504 citations

Peers

Peiying Ye
Comparison fields: 5 of 76
  • Immunology 256
  • Oncology 275
  • Cancer Research 71
  • Molecular Biology 180
  • Aging 3
Replace Junya Ohtake with:
Junya Ohtake Japan
Ewa Cendrowicz Netherlands
Janina Dörr Germany
Dmitrij Ostroumov Germany
Ashwat Nagarajan United States
Hayrettin Guvén Sweden
Gabriela Turcu Romania
Nora Fekete-Drimusz Germany
Gina Scurti United States
Ana Vuletić Serbia
Peiying Ye relative to Junya Ohtake Japan Junya Ohtake's profile →
Citations per field
00.5×1.5×1.8×
Junya Ohtake · 1×
Citations per year

Countries citing papers authored by Peiying Ye

Since Specialization
Citations

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

Fields of papers citing papers by Peiying Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2018184
2 201895
3 201569
4 201558
5 201040
6 201820
7 201816
8 20239
9 20229
10 20175
11 20233
12 20232
13 20112
14 20222
15 20161
16 20250

About Peiying Ye

Peiying Ye is a scholar working on Immunology, Molecular Biology, Oncology, Surgery and Epidemiology, having authored 16 papers that have together received 515 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Immune cells in cancer (2 papers) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Immunology (256 citations), Oncology (275 citations), Cancer Research (71 citations), Molecular Biology (180 citations) and Aging (3 citations). Peiying Ye has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Pan Zheng, Yang Liu, Fei Tang, Peng Zhang, Juanjuan Su, Xu Wang, Martin Devenport, Xuexiang Du, Wei Wu and Mingyue Liu. Their work appears in journals such as Cellular and Molecular Immunology, Cell Research, Molecular Cancer Research, Protein & Cell and BMJ Open.

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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