Mong‐Ling Chu

968 citations
42 papers · 764 indexed · h-index 16

Mong‐Ling Chu

42 papers receiving 727 citations

Peers

Mong‐Ling Chu
Comparison fields: 5 of 76
  • Microbiology 126
  • Clinical Biochemistry 132
  • Infectious Diseases 320
  • Urology 92
  • Applied Microbiology and Biotechnology 20
Replace Mike Starr with:
Mike Starr Australia
Rosalind Maskell United Kingdom
Andrew Robb United Kingdom
Loretta Gaido United States
Travis K. Price United States
Kirsi Gröndahl‐Yli‐Hannuksela Finland
W R Bowie Canada
Luis Aliaga Spain
S Schönwald Croatia
William J. Holloway United States
Mong‐Ling Chu relative to Mike Starr Australia Mike Starr's profile →
Citations per field
00.5×3.7×
Mike Starr · 1×
Citations per year

Countries citing papers authored by Mong‐Ling Chu

Since Specialization
Citations

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

Fields of papers citing papers by Mong‐Ling Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mong‐Ling Chu. 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 Mong‐Ling Chu. The network helps show where Mong‐Ling Chu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200825
2 200845
3 200630
4 200622
5 2004112
6 200412
7 200413
8 20034
9 20023
10 20021
11 200224
12 200221
13 20006
14 199912
15 199814
16 19973
17 199226
18 199229
19 19918
20 19898

About Mong‐Ling Chu

Mong‐Ling Chu is a scholar working on Microbiology, Infectious Diseases, Endocrinology, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 42 papers that have together received 764 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (10 papers), Bacterial Infections and Vaccines (10 papers), Streptococcal Infections and Treatments (8 papers), Pneumonia and Respiratory Infections (7 papers), Bacterial Identification and Susceptibility Testing (5 papers), Mycobacterium research and diagnosis (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Microbiology (126 citations), Clinical Biochemistry (132 citations), Infectious Diseases (320 citations), Urology (92 citations) and Applied Microbiology and Biotechnology (20 citations). Mong‐Ling Chu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Wen‐Tsung Lo, Wei-Jen Lin, L. Kristopher Siu, Chunlei Wang, Shengru Wang, Chih‐Chien Wang, Chih‐Chien Wang, Min‐Hua Tseng, Chih‐Chien Wang and Shin‐Nan Cheng. Their work appears in journals such as European Journal of Pediatrics, Drug Information Journal, Clinical Infectious Diseases, Infection Control and Hospital Epidemiology and Microbial Drug Resistance.

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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