Chao-Fu Chang

999 citations
28 papers · 785 · h-index 20

Impact in

    • Vector-borne infectious diseases
    • Leptospirosis research and findings
    • Microbial infections and disease research

Papers in

Chao-Fu Chang

28 papers receiving 744 citations

Peers

Chao-Fu Chang
Comparison fields: 5 of 90
  • Parasitology 320
  • Microbiology 95
  • Small Animals 104
  • Infectious Diseases 247
  • Endocrinology 39
Replace Maged El-Ashker with:
Maged El-Ashker Egypt
Hesam A Seifi Iran
V. Michael Lane United States
Yong-Il Cho South Korea
Hassan Sharifiyazdi Iran
C. C. Wu United States
Boris Habrun Croatia
Shijun Li China
Sabry El‐Khodery Egypt
Guilherme Nunes de Souza Brazil
Chao-Fu Chang relative to Maged El-Ashker Egypt Maged El-Ashker's profile →
Citations per field
00.5×3.7×
Maged El-Ashker · 1×
Citations per year

Countries citing papers authored by Chao-Fu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Fu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chao-Fu 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 Chao-Fu Chang Line = papers co-authored together Chao-Fu Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200872
2 199658
3 200545
4 200144
5 200743
6 197941
7 197940
8 201039
9 200334
10 199834
11 198133
12 200530
13 201330
14 199828
15 202227
16 201325
17 200224
18 199923
19 197921
20 198219

About Chao-Fu Chang

Chao-Fu Chang is a scholar working on Parasitology, Infectious Diseases, Animal Science and Zoology, Nephrology and Microbiology, having authored 28 papers that have together received 785 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (7 papers), Viral Infections and Vectors (6 papers), Mycotoxins in Agriculture and Food (4 papers), Animal Nutrition and Physiology (4 papers), Vector-Borne Animal Diseases (3 papers), Microbial infections and disease research (3 papers), Insect and Pesticide Research (3 papers) and Meat and Animal Product Quality (3 papers). The work is most often cited by research in Parasitology (320 citations), Microbiology (95 citations), Small Animals (104 citations), Infectious Diseases (247 citations) and Endocrinology (39 citations). Chao-Fu Chang has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include PAT B. HAMILTON, Yung‐Fu Chang, Sean P. McDonough, Syed M. Faisal, Weiwei Yan, Thomas J. Divers, Ming-Jeng Pan, Sang J. Shin, Joachim Frey and Donald H. Lein. Their work appears in journals such as Poultry Science, Vaccine, Journal of Veterinary Diagnostic Investigation, American Journal of Kidney Diseases and Journal of Nephrology.

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