Pheh-Ping Chang

882 citations
8 papers · 706 · h-index 7

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
    • Systemic Lupus Erythematosus Research

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 2
    • Cytokine Signaling Pathways and Interactions 2
    • CAR-T cell therapy research 1

Pheh-Ping Chang

8 papers receiving 696 citations

Peers

Pheh-Ping Chang
Comparison fields: 5 of 59
  • Immunology 572
  • Rheumatology 71
  • Oncology 124
  • Virology 17
  • Cancer Research 48
Replace Roybel R. Ramiscal with:
Roybel R. Ramiscal Australia
Danillo G. Augusto Brazil
Craig P. Chappell United States
Sibille Humme Germany
Montserrat Casamayor‐Palleja United Kingdom
Sally R. Masters United States
Georg Malcherek Germany
Iñaki Cervera-Marzal France
Dianne Emslie Australia
Vadim I. Nazarov Russia
Pheh-Ping Chang relative to Roybel R. Ramiscal Australia Roybel R. Ramiscal's profile →
Citations per field
00.5×1.5×
Roybel R. Ramiscal · 1×
Citations per year

Countries citing papers authored by Pheh-Ping Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pheh-Ping Chang Line = papers co-authored together Pheh-Ping Chang links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011221
2 2012201
3 2013117
4 2013100
5 201436
6 201220
7 20069
8 20152

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 706 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), CAR-T cell therapy research (1 paper), Cytomegalovirus and herpesvirus research (1 paper), RNA Research and Splicing (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Immunology (572 citations), Rheumatology (71 citations), Oncology (124 citations), Virology (17 citations) and Cancer Research (48 citations). Pheh-Ping Chang has collaborated with scholars based in Australia, Malaysia and Canada. Frequent co-authors include Carola G. Vinuesa, Alvin Pratama, Xin Hu, Diego G. Silva, Sau K. Lee, Giles Walters, Jaime L. Martin, Jennifer J. Hogan, Robert Brink and S. Cindy. Their work appears in journals such as Nature Immunology, Immunity, The Journal of Immunology, Cancer Immunology Research and World Journal of Microbiology and Biotechnology.

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.

Explore authors with similar magnitude of impact