Chi-Fang Chang

434 total citations
15 papers, 305 citations indexed

About

Chi-Fang Chang is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Chi-Fang Chang has authored 15 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Chi-Fang Chang's work include Polyomavirus and related diseases (6 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Chi-Fang Chang is often cited by papers focused on Polyomavirus and related diseases (6 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Chi-Fang Chang collaborates with scholars based in Taiwan and United States. Chi-Fang Chang's co-authors include Han-Wei Lin, Wen‐Fang Cheng, Yu‐Li Chen, Ying‐Cheng Chiang, Chi‐An Chen, Wei‐Zen Sun, Deching Chang, Pei‐Lain Chen, Yi‐Jou Tai and Meilin Wang and has published in prestigious journals such as Virology, Cancer Letters and Journal of General Virology.

In The Last Decade

Chi-Fang Chang

15 papers receiving 304 citations

Peers

Chi-Fang Chang
Comparison fields: 5 of 56
  • Oncology 169
  • Immunology 125
  • Molecular Biology 112
  • Genetics 40
  • Electrical and Electronic Engineering 29
Replace Madhura Mukhopadhyay with:
Madhura Mukhopadhyay United States
Tara S. Abraham United States
Pengyu Zhang China
Lily Mahapatra United States
E. A. Belousova Russia
Janani Krishnamurthy United States
A. Renee Stewart United States
Philippe Lemarre France
Julian J. Freen‐van Heeren Netherlands
Murad R. Mamedov United States
Madhura Mukhopadhyay United States View profile →
Citations per field, relative to Chi-Fang Chang
Chi-Fang Chang · 1×
Citations per year, relative to Chi-Fang Chang
Chi-Fang Chang · 1×

Countries citing papers authored by Chi-Fang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Fang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Fang 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 Chi-Fang Chang. The network helps show where Chi-Fang Chang may publish in the future.

Co-authorship network of co-authors of Chi-Fang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Fang Chang. A scholar is included among the top collaborators of Chi-Fang 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 Chi-Fang Chang. Chi-Fang Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1
Overexpression of transmembrane protein 102 implicates poor prognosis and chemoresistance in epithelial ovarian carcinoma patients.
2
2 38
3 50
4 8
5 16
6 22
7 39
8 9
9 33
10 7
11 22
12 7
13 31
14 20
15 1

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

Rankless by CCL
2026