Jiunn-Jong Wu

154 papers receiving 5.3k citations

Hit Papers

Helicobacter pylori infection: An overview of bacterial virulence factors and pathogenesis 2016 · 373 citations
3732016202620192022100200300

Peers

Jiunn-Jong Wu
Comparison fields: 5 of 138
  • Molecular Medicine 1.5k
  • Endocrinology 880
  • Applied Microbiology and Biotechnology 225
  • Infectious Diseases 1.2k
  • Clinical Biochemistry 360
Replace Volkhard A. J. Kempf with:
Volkhard A. J. Kempf Germany
Mitsuo Kaku Japan
Göran Kronvall Sweden
Yoichi Hirakata Japan
Keizo Yamaguchi Japan
Sören Schubert Germany
Jong Hee Shin South Korea
Katsunori Yanagihara Japan
Lee‐Jene Teng Taiwan
G. Pulverer Germany
Jiunn-Jong Wu relative to Volkhard A. J. Kempf Germany Volkhard A. J. Kempf's profile →
Citations per field
00.5×1.5×1.8×
Volkhard A. J. Kempf · 1×
Citations per year

Countries citing papers authored by Jiunn-Jong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiunn-Jong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20245
2 202023
3 201932
4 201931
5 20167
6 201510
7 201517
8 201436
9 201440
10 201417
11 201115
12 201068
13 200928
14 200812
15 20085
16 200713
17 20076
18 20079
19 200584
20 200360

About Jiunn-Jong Wu

Jiunn-Jong Wu is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Endocrinology, Infectious Diseases and Clinical Biochemistry, having authored 154 papers that have together received 5.4k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (45 papers), Antimicrobial Resistance in Staphylococcus (41 papers), Antibiotic Resistance in Bacteria (39 papers), Neonatal and Maternal Infections (26 papers), Helicobacter pylori-related gastroenterology studies (26 papers), Bacterial Identification and Susceptibility Testing (17 papers), Galectins and Cancer Biology (17 papers) and Antibiotics Pharmacokinetics and Efficacy (16 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Endocrinology (880 citations), Applied Microbiology and Biotechnology (225 citations), Infectious Diseases (1.2k citations) and Clinical Biochemistry (360 citations). Jiunn-Jong Wu has collaborated with scholars based in Taiwan, France and Russia. Frequent co-authors include Jing-Jou Yan, Bor‐Shyang Sheu, Wen‐Chien Ko, Cheng‐Yen Kao, Yee-Shin Lin, Shu-Huei Tsai, Huan-Yao Lei, Gwo‐Bin Lee, Ming-Cheng Wang and Chih-Feng Kuo. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Microbiology Immunology and Infection, Infection and Immunity, Antimicrobial Agents and Chemotherapy and Frontiers in Microbiology.

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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