J.-J. Wu

42 papers receiving 1.1k citations

Peers

J.-J. Wu
Comparison fields: 5 of 99
  • Endocrinology 394
  • Molecular Medicine 349
  • Applied Microbiology and Biotechnology 50
  • Infectious Diseases 262
  • Clinical Biochemistry 89
Replace S W Ho with:
S W Ho Taiwan
W C Hsieh Taiwan
Jiunn‐Jong Wu Taiwan
Vincenzo Savini Italy
Chia‐Ying Liu Taiwan
V.O. Rotimi Kuwait
Narelle George Australia
J. Croizé France
Edoardo Carretto Italy
David W. Craft United States
J.-J. Wu relative to S W Ho Taiwan S W Ho's profile →
Citations per field
00.5×2.8×
S W Ho · 1×
Citations per year

Countries citing papers authored by J.-J. Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with J.-J. Wu Line = papers co-authored together J.-J. Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002121
2 199697
3 199777
4 199572
5 199754
6 201050
7 200149
8 200838
9 200237
10 199535
11 200135
12 200634
13 200832
14 200832
15 201432
16 201530
17 199930
18 201429
19 200929
20 199828

About J.-J. Wu

J.-J. Wu is a scholar working on Epidemiology, Molecular Medicine, Public Health, Environmental and Occupational Health, Infectious Diseases and Endocrinology, 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), Antimicrobial Resistance in Staphylococcus (7 papers), Pneumonia and Respiratory Infections (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, S W Ho, K T Luh, 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.

Explore authors with similar magnitude of impact