Ching‐Dong Chang

749 citations
40 papers · 584 · h-index 15

Impact in

Papers in

Ching‐Dong Chang

40 papers receiving 572 citations

Peers

Ching‐Dong Chang
Comparison fields: 5 of 71
  • Animal Science and Zoology 124
  • Parasitology 76
  • Infectious Diseases 170
  • Agronomy and Crop Science 46
  • Epidemiology 131
Replace Ning Shi with:
Ning Shi China
Marjukka Anttila Finland
Bingke Bai China
Zhiyong Ma China
Yoshikazu Hirota Japan
Cheng‐Yao Yang Taiwan
Beatrice Bissig-Choisat United States
Jianhua Guo United States
Kidsadagon Pringproa Thailand
Hyuk Chu South Korea
Ching‐Dong Chang relative to Ning Shi China Ning Shi's profile →
Citations per field
00.5×1.5×2.4×
Ning Shi · 1×
Citations per year

Countries citing papers authored by Ching‐Dong Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Dong Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Dong 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 Ching‐Dong Chang. The network helps show where Ching‐Dong Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201264
2 200545
3 201034
4 201331
5 201131
6 201928
7 201127
8 201926
9 201023
10 201520
11 201919
12 201216
13 201616
14 202016
15 201516
16 200914
17 202014
18 201814
19 201513
20 202012

About Ching‐Dong Chang

Ching‐Dong Chang is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Genetics and Animal Science and Zoology, having authored 40 papers that have together received 584 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Viral gastroenteritis research and epidemiology (6 papers), Animal Virus Infections Studies (6 papers), Viral Infections and Vectors (5 papers), Animal Disease Management and Epidemiology (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Herpesvirus Infections and Treatments (3 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Animal Science and Zoology (124 citations), Parasitology (76 citations), Infectious Diseases (170 citations), Agronomy and Crop Science (46 citations) and Epidemiology (131 citations). Ching‐Dong Chang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Wen‐Ling Shih, Hung‐Jen Liu, Ping‐Yuan Lin, Ming‐Huei Liao, Jue‐Liang Hsu, Chi‐I Chang, Chi-Young Wang, Dewen Tong, Zhaocai Li and Li Ding. Their work appears in journals such as Veterinary Microbiology, Veterinary Research, Anticancer Research, BMC Veterinary Research and Frontiers in Physiology.

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