Ming‐Ko Chiang

1.6k citations
25 papers · 1.3k · h-index 19

Impact in

Papers in

Ming‐Ko Chiang

25 papers receiving 1.3k citations

Peers

Ming‐Ko Chiang
Comparison fields: 5 of 100
  • Molecular Medicine 281
  • Endocrinology 155
  • Hematology 142
  • Molecular Biology 718
  • Periodontics 39
Replace Florigio Lista with:
Florigio Lista Italy
Azzaq Belaaouaj France
Margaret A. Cooley Australia
Luis Marrero United States
Takashi Suematsu Japan
David L. Caudell United States
Murali Dharan Bashyam India
André N. Tiaden Switzerland
S P Colgan United States
Ming‐Ko Chiang relative to Florigio Lista Italy Florigio Lista's profile →
Citations per field
00.5×7.8×
Florigio Lista · 1×
Citations per year

Countries citing papers authored by Ming‐Ko Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Ko Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Ko Chiang. 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 Ming‐Ko Chiang. The network helps show where Ming‐Ko Chiang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996253
2 2003177
3 1993145
4 201089
5 201769
6 201463
7 201463
8 199863
9 201247
10 201144
11 201242
12 199640
13 199537
14 201827
15 201722
16 201220
17 201920
18 201119
19 201319
20 202118

About Ming‐Ko Chiang

Ming‐Ko Chiang is a scholar working on Molecular Biology, Molecular Medicine, Surgery, Genetics and Oncology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Pancreatic function and diabetes (5 papers), Bacterial biofilms and quorum sensing (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Bacterial Genetics and Biotechnology (2 papers), Diabetes and associated disorders (2 papers), Amoebic Infections and Treatments (2 papers) and Infections and bacterial resistance (2 papers). The work is most often cited by research in Molecular Medicine (281 citations), Endocrinology (155 citations), Hematology (142 citations), Molecular Biology (718 citations) and Periodontics (39 citations). Ming‐Ko Chiang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Douglas A. Melton, John G. Flanagan, Yi‐Chyi Lai, Min‐Chi Lu, Faye Fang, Yongda Wang, Yihai Cao, James A. Weatherbee, Ying-Tsong Chen and Hua Chen. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Microbial Pathogenesis, Journal of Antimicrobial Chemotherapy and Endocrinology.

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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