K.S. Lau

524 citations
22 papers · 405 · h-index 11

Impact in

Papers in

K.S. Lau

22 papers receiving 371 citations

Peers

K.S. Lau
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 103
  • Orthopedics and Sports Medicine 34
  • Internal Medicine 12
  • Pathology and Forensic Medicine 54
  • Sensory Systems 15
Replace Patrizia Di Fulvio with:
Patrizia Di Fulvio Italy
M Magarò Italy
Rui-tao Wang China
Barnabas Gellen France
María G. Ledesma-Colunga Mexico
Keiichi Tamagaki Japan
Giovanna Bugari Italy
Jijun Shi China
Yu Ren China
Nobuo Kotajima Japan
K.S. Lau relative to Patrizia Di Fulvio Italy Patrizia Di Fulvio's profile →
Citations per field
00.5×10×15×
Patrizia Di Fulvio · 1×
Citations per year

Countries citing papers authored by K.S. Lau

Since Specialization
Citations

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

Fields of papers citing papers by K.S. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.S. Lau. 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 K.S. Lau. The network helps show where K.S. Lau may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200459
2 196647
3 199845
4 197043
5 200129
6 199226
7 199024
8 201222
9 200821
10 200620
11 200014
12 199210
13 199010
14 19929
15 20197
16 20196
17 19985
18 19813
19 19812
20 20151

About K.S. Lau

K.S. Lau is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Immunology, Molecular Biology and Genetics, having authored 22 papers that have together received 405 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (4 papers), Colorectal Cancer Treatments and Studies (2 papers), Estrogen and related hormone effects (2 papers), Ion channel regulation and function (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Lung Cancer Treatments and Mutations (2 papers), Immune Response and Inflammation (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (103 citations), Orthopedics and Sports Medicine (34 citations), Internal Medicine (12 citations), Pathology and Forensic Medicine (54 citations) and Sensory Systems (15 citations). K.S. Lau has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Annie W. C. Kung, Annie W.C. Kung, Vivian Chan, Victor Herbert, G.C.Y. Fong, A W Kung, Leonard D. Kohn, Anirban Mukherjee, B H Toh and Jeffrey C. White. Their work appears in journals such as Bone, The Journal of Clinical Endocrinology & Metabolism, Pathology, Experimental Biology and Medicine and Clinical & Experimental Immunology.

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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