Ju‐Hsin Chia

43 papers receiving 1.5k citations

Peers

Ju‐Hsin Chia
Comparison fields: 5 of 96
  • Molecular Medicine 674
  • Endocrinology 395
  • Applied Microbiology and Biotechnology 110
  • Clinical Biochemistry 167
  • Food Science 370
Replace Toshinobu Horii with:
Toshinobu Horii Japan
Efthymia Petinaki Greece
Srujana Mohanty India
Lizhong Han China
María‐Isabel Morosini Spain
Jacques Tankovic France
Susan D. Rudin United States
E. Espaze France
Michelle K. Paczosa United States
Yangsoon Lee South Korea
Ju‐Hsin Chia relative to Toshinobu Horii Japan Toshinobu Horii's profile →
Citations per field
00.5×2.9×
Toshinobu Horii · 1×
Citations per year

Countries citing papers authored by Ju‐Hsin Chia

Since Specialization
Citations

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

Fields of papers citing papers by Ju‐Hsin Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju‐Hsin Chia. 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 Ju‐Hsin Chia. The network helps show where Ju‐Hsin Chia may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 201665
3 20157
4 201542
5 201420
6 20133
7 201325
8 201214
9 20128
10 201240
11 20128
12 201140
13 201115
14 201028
15 200811
16 200664
17 20061
18 20069
19 200572
20 2002214

About Ju‐Hsin Chia

Ju‐Hsin Chia is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Endocrinology, Microbiology and Infectious Diseases, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (17 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Vibrio bacteria research studies (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Salmonella and Campylobacter epidemiology (5 papers), Antibiotic Use and Resistance (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Molecular Medicine (674 citations), Endocrinology (395 citations), Applied Microbiology and Biotechnology (110 citations), Clinical Biochemistry (167 citations) and Food Science (370 citations). Ju‐Hsin Chia has collaborated with scholars based in Taiwan, United States and Poland. Frequent co-authors include Tsu‐Lan Wu, An-Jing Kuo, Lin‐Hui Su, Cheng‐Hsun Chiu, Chishih Chu, Chien‐Feng Sun, Ming‐Hsun Lee, Diana Zhang, James T. Wu and Kuo‐Chien Tsao. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Journal of Clinical Microbiology, Microbial Drug Resistance, International Journal of Antimicrobial Agents and Diagnostic Microbiology and Infectious Disease.

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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