Min‐Chi Lu

81 papers receiving 1.8k citations

Peers

Min‐Chi Lu
Comparison fields: 5 of 123
  • Molecular Medicine 756
  • Applied Microbiology and Biotechnology 136
  • Endocrinology 331
  • Clinical Biochemistry 210
  • Infectious Diseases 446
Replace Medini K. Annavajhala with:
Medini K. Annavajhala United States
Hua Zhou China
Ya‐Sung Yang Taiwan
Hee Bong Shin South Korea
Efthymia Protonotariou Greece
Véronique Dubois France
Tsu-Lan Wu Taiwan
François Guérin France
Sun Young Cho South Korea
Vered Schechner Israel
Min‐Chi Lu relative to Medini K. Annavajhala United States Medini K. Annavajhala's profile →
Citations per field
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Medini K. Annavajhala · 1×
Citations per year

Countries citing papers authored by Min‐Chi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Chi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201089
2 200572
3 200971
4 201769
5 202169
6 202065
7 201463
8 201463
9 202061
10 201550
11 200548
12 202145
13 201144
14 201744
15 200937
16 201737
17 200635
18 201734
19 201933
20 201432

About Min‐Chi Lu

Min‐Chi Lu is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Endocrinology, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 81 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (35 papers), Pneumonia and Respiratory Infections (11 papers), Bacterial Identification and Susceptibility Testing (8 papers), Antibiotic Use and Resistance (7 papers), Enterobacteriaceae and Cronobacter Research (7 papers), Nosocomial Infections in ICU (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Molecular Medicine (756 citations), Applied Microbiology and Biotechnology (136 citations), Endocrinology (331 citations), Clinical Biochemistry (210 citations) and Infectious Diseases (446 citations). Min‐Chi Lu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yi‐Chyi Lai, Po‐Ren Hsueh, Wen‐Chien Ko, Ming‐Ko Chiang, Ying-Tsong Chen, Chien‐Shun Chiou, Huiling Tang, Po‐Yu Liu, Yaochen Wang and Chih‐Cheng Lai. Their work appears in journals such as Journal of Microbiology Immunology and Infection, International Journal of Antimicrobial Agents, PLoS ONE, European Journal of Pharmacology and Frontiers in Cellular and Infection 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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