Ken Liao

649 citations
27 papers · 486 · h-index 10

Impact in

Papers in

Ken Liao

24 papers receiving 474 citations

Peers

Ken Liao
Comparison fields: 5 of 82
  • Health, Toxicology and Mutagenesis 201
  • Cancer Research 99
  • Small Animals 39
  • Chemical Health and Safety 3
  • Computational Theory and Mathematics 39
Replace Claire Terry with:
Claire Terry United States
Connie L. Chen United States
Kim Vande Loock Belgium
D. L. Musgrove United States
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Ken Liao

Since Specialization
Citations

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

Fields of papers citing papers by Ken Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Liao. 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 Ken Liao. The network helps show where Ken Liao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006116
2 200688
3 201451
4 201746
5 200938
6 202133
7 202127
8 200815
9 202114
10 202012
11 20229
12 20178
13 20207
14 20055
15
Cystic pancreatic lesions: a pictorial review and management approach.
20103
16 20103
17 20202
18 20222
19
Phase I, Masked, Placebo-Controlled, Single and Multiple Ascending Intravenous Dose Studies Evaluating Systemic and Ocular Safety, Tolerability, and Visual Acuity Effects of RN6G (PF-04382923) in Subjects with Dry, Age-Related Macular Degeneration (ARMD)
20132
20 20241

About Ken Liao

Ken Liao is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Health, Toxicology and Mutagenesis, Oncology and Immunology, having authored 27 papers that have together received 486 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Biosimilars and Bioanalytical Methods (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Computational Drug Discovery Methods (3 papers), HER2/EGFR in Cancer Research (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Urological Disorders and Treatments (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (201 citations), Cancer Research (99 citations), Small Animals (39 citations), Chemical Health and Safety (3 citations) and Computational Theory and Mathematics (39 citations). Ken Liao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Harvey J. Clewell, Yu‐Mei Tan, Rory B. Conolly, Benjamin C. Blount, Cheng-Chun Lee, Mao-Feng Sun, Calvin Yu‐Chian Chen, Kuen‐Bao Chen, Wen‐Yuan Lee and Ziyuan Wang. Their work appears in journals such as Journal of Clinical Oncology, Journal of Toxicology and Environmental Health, British Journal of Clinical Pharmacology, The AAPS Journal and Frontiers in Plant Science.

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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