Ching‐Ching Wu
Impact in
- Parasitology top 2%
- Bartonella species infections research
- Vector-borne infectious diseases
- Leptospirosis research and findings
- Virology top 10%
- Rabies epidemiology and control
Papers in
-
- Viral Infections and Vectors 2
-
- Bartonella species infections research 2
- Leptospirosis research and findings 2
- Co-authors
- Lynn Guptill (3 shared papers)Ayda Sarikaya (1 shared paper)Michael R. Ladisch (1 shared paper)Rae Record (1 shared paper)Stephen F. Badylak (1 shared paper)Harm HogenEsch (2 shared papers)David Welch (2 shared papers)Lawrence T. Glickman (2 shared papers)
- Journals
- Veterinary Immunology and Immunopathology (1 paper)Journal of Veterinary Diagnostic Investigation (1 paper)Vaccine (1 paper)Virus Research (1 paper)Avian Diseases (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Ching‐Ching Wu
12 papers receiving 463 citations
Peers
Comparison fields: 5 of 63
- Parasitology 207
- Virology 68
- Infectious Diseases 183
- Animal Science and Zoology 64
- Biomaterials 67
Countries citing papers authored by Ching‐Ching Wu
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 136 | |
| 2 | 1997 | 127 | |
| 3 | 2010 | 47 | |
| 4 | 2008 | 37 | |
| 5 | 1999 | 30 | |
| 6 | 2003 | 27 | |
| 7 | 2009 | 24 | |
| 8 | 2014 | 15 | |
| 9 | 2005 | 14 | |
| 10 | 2008 | 12 | |
| 11 | 1997 | 11 | |
| 12 | 1991 | 8 |
About Ching‐Ching Wu
Ching‐Ching Wu is a scholar working on Infectious Diseases, Parasitology, Molecular Biology, Immunology and Small Animals, having authored 12 papers that have together received 488 indexed citations. Recurring topics across this work include Bartonella species infections research (2 papers), Virology and Viral Diseases (2 papers), Rabies epidemiology and control (2 papers), Viral Infections and Immunology Research (2 papers), Leptospirosis research and findings (2 papers), Veterinary medicine and infectious diseases (2 papers), Immune Response and Inflammation (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Parasitology (207 citations), Virology (68 citations), Infectious Diseases (183 citations), Animal Science and Zoology (64 citations) and Biomaterials (67 citations). Ching‐Ching Wu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Lynn Guptill, Ayda Sarikaya, Michael R. Ladisch, Rae Record, Stephen F. Badylak, Harm HogenEsch, David Welch, Lawrence T. Glickman, Leonard N. Slater and Jianzhong Cao. Their work appears in journals such as Veterinary Immunology and Immunopathology, Journal of Veterinary Diagnostic Investigation, Vaccine, Virus Research and Avian Diseases.
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.