Pheh-Ping Chang

882 total citations
8 papers, 706 citations indexed

About

Pheh-Ping Chang is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Pheh-Ping Chang has authored 8 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Pheh-Ping Chang's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (2 papers). Pheh-Ping Chang is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (2 papers). Pheh-Ping Chang collaborates with scholars based in Australia, Malaysia and Canada. Pheh-Ping Chang's co-authors include Carola G. Vinuesa, Alvin Pratama, Xin Hu, Diego G. Silva, Sau K. Lee, Jaime L. Martin, Giles Walters, Jennifer J. Hogan, Stuart G. Tangye and Patricia Barral and has published in prestigious journals such as Immunity, Nature Immunology and The Journal of Immunology.

In The Last Decade

Pheh-Ping Chang

8 papers receiving 696 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pheh-Ping Chang Australia	7	572	138	124	71	48	8	706
Roybel R. Ramiscal Australia	7	972 1.7×	188 1.4×	117 0.9×	75 1.1×	64 1.3×	7	1.2k
Dianne Emslie Australia	11	569 1.0×	197 1.4×	99 0.8×	23 0.3×	76 1.6×	11	780
Montserrat Casamayor‐Palleja United Kingdom	12	691 1.2×	208 1.5×	125 1.0×	24 0.3×	49 1.0×	14	883
Kentner L. Singleton United States	8	512 0.9×	159 1.2×	93 0.8×	22 0.3×	61 1.3×	11	657
Machiko Atsuta Japan	8	788 1.4×	125 0.9×	167 1.3×	23 0.3×	89 1.9×	9	919
D. J. Schendel Germany	12	483 0.8×	118 0.9×	125 1.0×	39 0.5×	21 0.4×	17	596
Marine Champsaur United States	5	557 1.0×	114 0.8×	218 1.8×	50 0.7×	20 0.4×	5	652
Craig P. Chappell United States	13	514 0.9×	142 1.0×	57 0.5×	68 1.0×	18 0.4×	17	626
Danillo G. Augusto Brazil	17	502 0.9×	123 0.9×	52 0.4×	59 0.8×	39 0.8×	50	765
A Elbe Austria	15	771 1.3×	154 1.1×	77 0.6×	39 0.5×	20 0.4×	17	956

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-authorship network of co-authors of Pheh-Ping Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Pheh-Ping Chang. A scholar is included among the top collaborators of Pheh-Ping Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pheh-Ping Chang. Pheh-Ping Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Chang, Pheh-Ping & Carola G. Vinuesa. (2015). Detection of Mouse Natural Killer T Follicular Helper (NKTFH) Cells by Flow Cytometry. Methods in molecular biology. 1291. 135–141. 2 indexed citations

2.

deLeeuw, Ronald J., David R. Kroeger, Sara E. Kost, et al.. (2014). CD25 Identifies a Subset of CD4+FoxP3− TIL That Are Exhausted Yet Prognostically Favorable in Human Ovarian Cancer. Cancer Immunology Research. 3(3). 245–253. 36 indexed citations

3.

Vinuesa, Carola G. & Pheh-Ping Chang. (2013). Innate B cell helpers reveal novel types of antibody responses. Nature Immunology. 14(2). 119–126. 100 indexed citations

4.

Pratama, Alvin, Roybel R. Ramiscal, Diego G. Silva, et al.. (2013). Roquin-2 Shares Functions with Its Paralog Roquin-1 in the Repression of mRNAs Controlling T Follicular Helper Cells and Systemic Inflammation. Immunity. 38(4). 669–680. 117 indexed citations

5.

Lee, Sau K., Diego G. Silva, Jaime L. Martin, et al.. (2012). Interferon-γ Excess Leads to Pathogenic Accumulation of Follicular Helper T Cells and Germinal Centers. Immunity. 37(5). 880–892. 201 indexed citations

6.

Chang, Pheh-Ping, Sau K. Lee, Xin Hu, et al.. (2012). Breakdown in Repression of IFN-γ mRNA Leads to Accumulation of Self-Reactive Effector CD8+ T Cells. The Journal of Immunology. 189(2). 701–710. 20 indexed citations

7.

Chang, Pheh-Ping, Patricia Barral, Alvin Pratama, et al.. (2011). Identification of Bcl-6-dependent follicular helper NKT cells that provide cognate help for B cell responses. Nature Immunology. 13(1). 35–43. 221 indexed citations

8.

Apun, Kasing, et al.. (2006). Clonal Diversity of Escherichia Coli Isolates from Marketed Beef in East Malaysia. World Journal of Microbiology and Biotechnology. 22(7). 661–667. 9 indexed citations

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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