Ping‐Yi Wu

406 citations
9 papers · 198 · h-index 7

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 2
    • Immune cells in cancer 1
    • RNA Interference and Gene Delivery 3

Ping‐Yi Wu

9 papers receiving 195 citations

Peers

Ping‐Yi Wu
Comparison fields: 5 of 46
  • Immunology 105
  • Oncology 66
  • Hepatology 13
  • Genetics 36
  • Epidemiology 31
Replace Martin F. Berthelsen with:
Martin F. Berthelsen Denmark
Willem-Jan Krebber Netherlands
Evelyn Roth Germany
Jessica Voss United States
Valérie Janelle Canada
Natalie J. Neubert Switzerland
Nadia Mensali Norway
Lu‐En Wai Singapore
Jordan Denizeau France
Nelly Bonilla France
Ping‐Yi Wu relative to Martin F. Berthelsen Denmark Martin F. Berthelsen's profile →
Citations per field
00.5×11×
Martin F. Berthelsen · 1×
Citations per year

Countries citing papers authored by Ping‐Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ping‐Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping‐Yi Wu. 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 Ping‐Yi Wu. The network helps show where Ping‐Yi Wu may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201850
2 201036
3 201029
4 200323
5 200921
6 201519
7 201316
8 20203
9 20171

About Ping‐Yi Wu

Ping‐Yi Wu is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Infectious Diseases, having authored 9 papers that have together received 198 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), RNA Interference and Gene Delivery (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Hepatitis B Virus Studies (2 papers), T-cell and B-cell Immunology (2 papers), Virus-based gene therapy research (2 papers) and Immune cells in cancer (1 paper). The work is most often cited by research in Immunology (105 citations), Oncology (66 citations), Hepatology (13 citations), Genetics (36 citations) and Epidemiology (31 citations). Ping‐Yi Wu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Mi‐Hua Tao, Chia‐Ming Chang, Koichi Tsuneyama, I‐Jung Lee, Yin Chen, Long‐Sheng Lu, Ching‐Cheng Chang, Shuk‐Man Ka, Yi-Jou Huang and Amy Dhirapong. Their work appears in journals such as Human Gene Therapy, The Journal of Gene Medicine, The Journal of Immunology, International Journal of Cancer and Autoimmunity Reviews.

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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