Pheh-Ping Chang
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
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- Systemic Lupus Erythematosus Research
Papers in
-
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 2
- Oncology 4
- Cytokine Signaling Pathways and Interactions 2
- CAR-T cell therapy research 1
- Cancer Immunotherapy and Biomarkers 1
- Co-authors
- Carola G. Vinuesa (6 shared papers)Alvin Pratama (3 shared papers)Xin Hu (3 shared papers)Diego G. Silva (2 shared papers)Sau K. Lee (2 shared papers)Jaime L. Martin (1 shared paper)Giles Walters (1 shared paper)Jennifer J. Hogan (2 shared papers)
- Journals
- Nature Immunology (2 papers)Immunity (2 papers)The Journal of Immunology (1 paper)World Journal of Microbiology and Biotechnology (1 paper)Cancer Immunology Research (1 paper)
- Partner nations
- AustraliaMalaysiaUnited States
In The Last Decade
Pheh-Ping Chang
8 papers receiving 717 citations
Peers
Comparison fields: 5 of 59
- Immunology 557
- Rheumatology 68
- Oncology 119
- Virology 17
- Cancer Research 49
Countries citing papers authored by Pheh-Ping Chang
This map shows the geographic impact of Pheh-Ping Chang'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 Pheh-Ping Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pheh-Ping Chang more than expected).
Fields of papers citing papers by Pheh-Ping Chang
This network shows the impact of papers produced by Pheh-Ping Chang. 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 Pheh-Ping Chang. The network helps show where Pheh-Ping Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pheh-Ping Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 232 | |
| 2 | 2012 | 206 | |
| 3 | 2013 | 119 | |
| 4 | 2013 | 106 | |
| 5 | 2014 | 37 | |
| 6 | 2012 | 20 | |
| 7 | 2006 | 9 | |
| 8 | 2015 | 2 |
About Pheh-Ping Chang
Pheh-Ping Chang is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Endocrinology, having authored 8 papers that have together received 731 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immunotherapy and Immune Responses (2 papers), Salmonella and Campylobacter epidemiology (1 paper), CAR-T cell therapy research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Probiotics and Fermented Foods (1 paper). The work is most often cited by research in Immunology (557 citations), Rheumatology (68 citations), Oncology (119 citations), Virology (17 citations) and Cancer Research (49 citations). Pheh-Ping Chang has collaborated with scholars based in Australia, Malaysia and United States. Frequent co-authors include Carola G. Vinuesa, Alvin Pratama, Xin Hu, Diego G. Silva, Sau K. Lee, Jaime L. Martin, Giles Walters, Jennifer J. Hogan, Robert Brink and Axel Kallies. Their work appears in journals such as Nature Immunology, Immunity, The Journal of Immunology, World Journal of Microbiology and Biotechnology and Cancer Immunology Research.
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.