Ching‐Chi Lee

115 papers receiving 2.2k citations

Peers

Ching‐Chi Lee
Comparison fields: 5 of 99
  • Molecular Medicine 630
  • Applied Microbiology and Biotechnology 221
  • Clinical Biochemistry 189
  • Endocrinology 151
  • Epidemiology 609
Replace B. Pilmis with:
B. Pilmis France
Magnus Arpi Denmark
Luisa Sorlí Spain
Francisc Schlaeffer Israel
Mesut Yılmaz Türkiye
Yung-Ching Liu Taiwan
Ami Neuberger Israel
Markos N. Marangos Greece
Shu‐Chen Kuo Taiwan
Joyce A. Korvick United States
Ching‐Chi Lee relative to B. Pilmis France B. Pilmis's profile →
Citations per field
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B. Pilmis · 1×
Citations per year

Countries citing papers authored by Ching‐Chi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Chi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Chi Lee. 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‐Chi Lee. The network helps show where Ching‐Chi Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012157
2 2012114
3 201788
4 202275
5 201569
6 202167
7 201055
8 201155
9 201153
10 200852
11 201048
12 201448
13 201444
14 201043
15 201242
16 201639
17 201938
18 201237
19 201534
20 201534

About Ching‐Chi Lee

Ching‐Chi Lee is a scholar working on Molecular Medicine, Epidemiology, Applied Microbiology and Biotechnology, Infectious Diseases and Endocrinology, having authored 122 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (35 papers), Antibiotic Resistance in Bacteria (30 papers), Antibiotic Use and Resistance (15 papers), Clostridium difficile and Clostridium perfringens research (13 papers), Antibiotics Pharmacokinetics and Efficacy (13 papers), Bacterial Identification and Susceptibility Testing (10 papers), Infections and bacterial resistance (9 papers) and Urinary Tract Infections Management (4 papers). The work is most often cited by research in Molecular Medicine (630 citations), Applied Microbiology and Biotechnology (221 citations), Clinical Biochemistry (189 citations), Endocrinology (151 citations) and Epidemiology (609 citations). Ching‐Chi Lee has collaborated with scholars based in Taiwan, New Zealand and United States. Frequent co-authors include Wen‐Chien Ko, Nan–Yao Lee, Chia‐Ming Chang, Ming‐Yuan Hong, Po‐Lin Chen, Chung-Hsun Lee, Chih‐Chia Hsieh, Hsin–Chun Lee, Ming-Chi Li and Yuan‐Pin Hung. Their work appears in journals such as Journal of Microbiology Immunology and Infection, The American Journal of Emergency Medicine, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy and Antibiotics.

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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