Ya‐Ping Ko

679 citations
14 papers · 532 · h-index 12

Impact in

Papers in

Ya‐Ping Ko

14 papers receiving 516 citations

Peers

Ya‐Ping Ko
Comparison fields: 5 of 84
  • Immunology and Allergy 84
  • Rheumatology 81
  • Cancer Research 77
  • Cell Biology 77
  • Microbiology 26
Replace Mami Yamamoto with:
Mami Yamamoto Japan
Cora A. Damen Netherlands
Emel Erkek Türkiye
Steven R. Kohn United States
William Hanna United States
Maryam G. Rohani United States
Paul Mellor United Kingdom
Nicholas Peake United Kingdom
J. Arnoud Marquart Netherlands
Thu Chau Canada
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Citations per field
00.5×3.7×
Mami Yamamoto · 1×
Citations per year

Countries citing papers authored by Ya‐Ping Ko

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Ping Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200586
2
Tumor-associated antigen L6 and the invasion of human lung cancer cells.
200373
3 201668
4 200561
5 200451
6 201648
7 201939
8
Metastasis of hepatocellular carcinoma to the heart: unusual patterns in three cases with antemortem diagnosis.
199230
9 199523
10 200519
11 201315
12 200415
13 20233
14 20181

About Ya‐Ping Ko

Ya‐Ping Ko is a scholar working on Molecular Biology, Infectious Diseases, Immunology and Allergy, Public Health, Environmental and Occupational Health and Rheumatology, having authored 14 papers that have together received 532 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (5 papers), Cell Adhesion Molecules Research (5 papers), Streptococcal Infections and Treatments (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Glycosylation and Glycoproteins Research (3 papers), Bacterial biofilms and quorum sensing (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Cardiovascular and Diving-Related Complications (1 paper). The work is most often cited by research in Immunology and Allergy (84 citations), Rheumatology (81 citations), Cancer Research (77 citations), Cell Biology (77 citations) and Microbiology (26 citations). Ya‐Ping Ko has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include Matthew J. Flick, Mats Paulsson, Raimund Wagener, Birgit Kobbe, Steve R. Roffler, Cheng‐Wen Wu, Pan‐Chyr Yang, Gerhard Sengle, Harald W.A. Ehlen and H. Mann. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Cardiology, Biotechnology and Applied Biochemistry, Microbiology and FEBS Letters.

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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