Ching Ching Wu

2.0k citations
80 papers · 1.5k · h-index 24

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 14
    • SARS-CoV-2 and COVID-19 Research 12
    • Viral Infections and Vectors 8
    • Virology and Viral Diseases 17

Ching Ching Wu

80 papers receiving 1.4k citations

Peers

Ching Ching Wu
Comparison fields: 5 of 91
  • Equine 65
  • Parasitology 203
  • Infectious Diseases 512
  • Animal Science and Zoology 263
  • Microbiology 154
Replace D.J. Houwers with:
D.J. Houwers Netherlands
Joachim Spergser Austria
Masanobu Kamada Japan
Derek A. Mosier United States
Stanley Done United Kingdom
Michał Czopowicz Poland
Magdalena Dunowska New Zealand
Bent Aalbæk Denmark
Terry L. Bowersock United States
Michael J. Yaeger United States
Ching Ching Wu relative to D.J. Houwers Netherlands D.J. Houwers's profile →
Citations per field
00.5×1.5×1.8×
D.J. Houwers · 1×
Citations per year

Countries citing papers authored by Ching Ching Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ching Ching Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200464
2 200860
3 200457
4 200155
5 200550
6 201449
7 200347
8 200545
9 200741
10 201038
11 200935
12 200632
13 200831
14 200030
15 200529
16 200528
17 201027
18 200727
19 200426
20 200325

About Ching Ching Wu

Ching Ching Wu is a scholar working on Infectious Diseases, Epidemiology, Animal Science and Zoology, Public Health, Environmental and Occupational Health and Microbiology, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (17 papers), Virology and Viral Diseases (17 papers), Viral gastroenteritis research and epidemiology (14 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Microbial infections and disease research (9 papers), Salmonella and Campylobacter epidemiology (9 papers), Viral Infections and Vectors (8 papers) and Leptospirosis research and findings (6 papers). The work is most often cited by research in Equine (65 citations), Parasitology (203 citations), Infectious Diseases (512 citations), Animal Science and Zoology (263 citations) and Microbiology (154 citations). Ching Ching Wu has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Tsang Long Lin, Michael P. Ward, Lynn Guptill, Laurent L. Couëtil, Chien Chang Loa, George E. Moore, Hua Chang, Peter M. Rubinelli, L. Kirk Clark and Timothy B. Lescun. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Archives of Virology, Vaccine, Veterinary Microbiology and Journal of the American Veterinary Medical Association.

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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