Chih‐Man Yang

416 citations
14 papers · 358 · h-index 11

Impact in

Papers in

Chih‐Man Yang

14 papers receiving 351 citations

Peers

Chih‐Man Yang
Comparison fields: 5 of 76
  • Molecular Medicine 151
  • Endocrinology 77
  • Applied Microbiology and Biotechnology 16
  • Microbiology 19
  • Pharmaceutical Science 18
Replace Karma G. Dolma with:
Karma G. Dolma India
Xingran Du China
Nazlı Ataç Türkiye
Serap Süzük Yıldız Türkiye
Ramin Abiri Iran
Yasmin N. Ramadan Egypt
Santosh Yadav India
Damien Keogh Singapore
Maryam Sadat Nabavinia Iran
Anne-Sophie Messiaen Belgium
Chih‐Man Yang relative to Karma G. Dolma India Karma G. Dolma's profile →
Citations per field
00.5×10×14.5×
Karma G. Dolma · 1×
Citations per year

Countries citing papers authored by Chih‐Man Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Man Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Man Yang. 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 Chih‐Man Yang. The network helps show where Chih‐Man Yang may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014110
2 200932
3 201432
4
Characterization of antimicrobial resistance patterns and integrons in human fecal Escherichia coli in Taiwan.
200926
5
Role of integrons in antimicrobial susceptibility patterns of Acinetobacter baumannii.
201024
6 200920
7 201120
8 201020
9 202117
10 200916
11 201416
12 20229
13 20229
14 20217

About Chih‐Man Yang

Chih‐Man Yang is a scholar working on Molecular Medicine, Molecular Biology, Endocrinology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 358 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Vibrio bacteria research studies (4 papers), Bacterial biofilms and quorum sensing (3 papers), Advanced Drug Delivery Systems (2 papers), Cancer-related Molecular Pathways (2 papers), Urinary Tract Infections Management (2 papers), Ubiquitin and proteasome pathways (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Molecular Medicine (151 citations), Endocrinology (77 citations), Applied Microbiology and Biotechnology (16 citations), Microbiology (19 citations) and Pharmaceutical Science (18 citations). Chih‐Man Yang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ming-Feng Lin, Ming‐Li Liou, Wei‐Tso Chia, Hsing‐Wen Sung, Hung‐Yi Liu, Wei‐Lun Chiang, Radhakrishnan Sureshbabu, Chung‐Hui Lin, Han‐Yueh Kuo and Chun‐Wen Hsiao. Their work appears in journals such as Biochemical Pharmacology, Journal of Microbiology Immunology and Infection, Diagnostic Microbiology and Infectious Disease, American Journal of Infection Control and Small.

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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