Chao-Fu Chang

992 citations
28 papers · 784 · h-index 20

Impact in

    • Vector-borne infectious diseases
    • Leptospirosis research and findings
    • Veterinary medicine and infectious diseases

Papers in

Chao-Fu Chang

28 papers receiving 743 citations

Peers

Chao-Fu Chang
Comparison fields: 5 of 94
  • Parasitology 325
  • Small Animals 121
  • Microbiology 95
  • Infectious Diseases 268
  • Endocrinology 40
Replace Maged El-Ashker with:
Maged El-Ashker Egypt
Hesam A Seifi Iran
Federico Giannitti Uruguay
V. Michael Lane United States
Martha A. Mellencamp United States
Aslı Mete United States
Hassan Sharifiyazdi Iran
Yong-Il Cho South Korea
C. C. Wu United States
Sabry El‐Khodery Egypt
Chao-Fu Chang relative to Maged El-Ashker Egypt Maged El-Ashker's profile →
Citations per field
00.5×1.5×2.4×
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 200871
2 199658
3 200545
4 200144
5 200743
6 197941
7 197940
8 201039
9 199834
10 200334
11 198133
12 201330
13 200530
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 Epidemiology, having authored 28 papers that have together received 784 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (7 papers), Viral Infections and Vectors (7 papers), Animal Nutrition and Physiology (4 papers), Mycotoxins in Agriculture and Food (4 papers), Microbial infections and disease research (3 papers), Leptospirosis research and findings (3 papers), Vector-Borne Animal Diseases (3 papers) and Insect and Pesticide Research (3 papers). The work is most often cited by research in Parasitology (325 citations), Small Animals (121 citations), Microbiology (95 citations), Infectious Diseases (268 citations) and Endocrinology (40 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, Thomas J. Divers, Syed M. Faisal, Weiwei Yan, 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 Nephrology 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.

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