J.-J. Wu
- Endocrinology top 1%
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 15
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 7
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 6
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- Streptococcal Infections and Treatments 12
- Neonatal and Maternal Infections 6
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- Pneumonia and Respiratory Infections 7
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- Antibiotics Pharmacokinetics and Efficacy 5
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- Salmonella and Campylobacter epidemiology 4
- Co-authors
- Po‐Ren HsuehWen‐Chien KoW C HsiehK T LuhS W HoChin‐Chung TsengTzuen‐Ren HsiueAy‐Huey Huang
- Journals
- European Journal of Clinical Microbiology & Infectious Diseases (17 papers)Clinical Microbiology and Infection (4 papers)Antimicrobial Agents and Chemotherapy (3 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
J.-J. Wu
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Endocrinology 394
- Molecular Medicine 349
- Applied Microbiology and Biotechnology 50
- Infectious Diseases 262
- Clinical Biochemistry 89
Countries citing papers authored by J.-J. Wu
This map shows the geographic impact of J.-J. 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 J.-J. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-J. Wu more than expected).
Fields of papers citing papers by J.-J. Wu
This network shows the impact of papers produced by J.-J. 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 J.-J. Wu. The network helps show where J.-J. Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J.-J. 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 | 2025 | 0 | |
| 2 | 2015 | 30 | |
| 3 | 2012 | 11 | |
| 4 | 2010 | 14 | |
| 5 | 2010 | 50 | |
| 6 | 2009 | 6 | |
| 7 | 2009 | 21 | |
| 8 | 2008 | 38 | |
| 9 | 2008 | 32 | |
| 10 | 2008 | 7 | |
| 11 | 2008 | 32 | |
| 12 | 2007 | 27 | |
| 13 | 2006 | 34 | |
| 14 | 2005 | 18 | |
| 15 | 2002 | 121 | |
| 16 | 2001 | 35 | |
| 17 | 1998 | 2 | |
| 18 | 1998 | 15 | |
| 19 | 1996 | 97 | |
| 20 | 1995 | 35 |
About J.-J. Wu
J.-J. Wu is a scholar working on Molecular Medicine, Endocrinology, Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Streptococcal Infections and Treatments (12 papers), Pneumonia and Respiratory Infections (7 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Neonatal and Maternal Infections (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). The work is most often cited by research in Endocrinology (394 citations), Molecular Medicine (349 citations), Applied Microbiology and Biotechnology (50 citations), Infectious Diseases (262 citations) and Clinical Biochemistry (89 citations). J.-J. Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Po‐Ren Hsueh, Wen‐Chien Ko, W C Hsieh, K T Luh, S W Ho, Chin‐Chung Tseng, Tzuen‐Ren Hsiue, Ay‐Huey Huang, Jing-Jou Yan and Jing-Jou Yan. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Clinical Microbiology and Infection, Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy and Clinical Infectious 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.