Stephen K. Lau

1.1k citations
28 papers · 807 indexed · h-index 11
Topics
Advanced Biosensing Techniques and Applications (3 papers)Neuroendocrine Tumor Research Advances (2 papers)Molecular Biology Techniques and Applications (2 papers)

In The Last Decade

Stephen K. Lau

25 papers receiving 792 citations

Peers

Stephen K. Lau
Comparison fields: 5 of 91
  • Molecular Biology 358
  • Oncology 338
  • Immunology 194
  • Cancer Research 105
  • Materials Chemistry 95
Replace Hyung‐Gyoon Kim with:
Hyung‐Gyoon Kim United States
Anton G.T. Terwisscha van Scheltinga Netherlands
Kaidi Mikhitarian United States
Margaret R. Martin United States
Helen Kalirai United Kingdom
Bernard M. Tijink Netherlands
Camilla L. Christensen Denmark
Crismita Dmello United States
Amber E. de Groot United States
Aki Furusawa United States
Stephen K. Lau relative to Hyung‐Gyoon Kim United States Hyung‐Gyoon Kim's profile →
Citations per field
00.5×10.6×
Hyung‐Gyoon Kim · 1×
Citations per year

Countries citing papers authored by Stephen K. Lau

Since Specialization
Citations

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

Fields of papers citing papers by Stephen K. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen K. Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen K. Lau. A scholar is included among the top collaborators of Stephen K. Lau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen K. Lau. Stephen K. Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 1
4 1
5 1
6 0
7 0
8 3
9 0
10 125
11 44
12 80
13 1
14 1
15 60
16 21
17 21
18 23
19 5
20 15

About Stephen K. Lau

Stephen K. Lau is a scholar working on Oncology, Otorhinolaryngology and Neurology, having authored 28 papers that have together received 807 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Oncology (338 citations), Otorhinolaryngology (44 citations) and Immunology (194 citations). Stephen K. Lau has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Shuming Nie, Hyunsuk Shim, Zhongxing Liang, Jay N. Umbreit, Vijay Varma, Tao Wu, Russell S. Taichman, Hong Lou, Jian Liu and Brad A. Kairdolf. Their work appears in journals such as New England Journal of Medicine, ACS Nano and Analytical Chemistry.

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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