K. M. Law

766 total citations · 1 hit paper
13 papers, 492 citations indexed

About

K. M. Law is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, K. M. Law has authored 13 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Virology. Recurrent topics in K. M. Law's work include Virus-based gene therapy research (2 papers), Prenatal Screening and Diagnostics (2 papers) and Herpesvirus Infections and Treatments (2 papers). K. M. Law is often cited by papers focused on Virus-based gene therapy research (2 papers), Prenatal Screening and Diagnostics (2 papers) and Herpesvirus Infections and Treatments (2 papers). K. M. Law collaborates with scholars based in Hong Kong, China and United States. K. M. Law's co-authors include Geoffrey L. Smith, Junjie Huang, Siaw Shi Boon, Christopher K.C. Lai, Zigui Chen, Paul K.S. Chan, Martin C. S. Wong, Eliza Lai‐Yi Wong, Annie Wai-Ling Cheung and Ka Chun Chong and has published in prestigious journals such as Cancer Research, Trends in biotechnology and Journal of General Virology.

In The Last Decade

K. M. Law

11 papers receiving 476 citations

Hit Papers

Acceptance of the COVID-19 vaccine based on the health be... 2021 2026 2022 2024 2021 100 200 300

Peers

K. M. Law
Comparison fields: 5 of 79
  • Health 303
  • Infectious Diseases 165
  • Modeling and Simulation 116
  • Economics and Econometrics 104
  • Sociology and Political Science 97
Replace Luigi Roberto Biasio with:
Luigi Roberto Biasio Italy
Fengling Feng China
Emmanuel Kwasi Abu Ghana
Duaa Taim Jordan
Deema Dababseh Jordan
Kholoud Al-Mahzoum Jordan
Mariam Alsanafi Kuwait
Hannah Brindle United Kingdom
Tomoya Saito Japan
Charlie Turner United States
Luigi Roberto Biasio Italy View profile →
Citations per field, relative to K. M. Law
K. M. Law · 1×
Citations per year, relative to K. M. Law
K. M. Law · 1×

Countries citing papers authored by K. M. Law

Since Specialization
Citations

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

Fields of papers citing papers by K. M. Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. M. Law

This figure shows the co-authorship network connecting the top 25 collaborators of K. M. Law. A scholar is included among the top collaborators of K. M. Law 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 K. M. Law. K. M. Law is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 5
3 7
4
Acceptance of the COVID-19 vaccine based on the health belief model: A population-based survey in Hong Kong breakdown →
376
5 13
6
SARS coronavirus and apoptosis.
1
7
A small molecule inhibitor of TGFβ RI kinase potentiates VEGF dependent angiogenesis in vitro
1
8 1
9 6
10 15
11 59
12 0
13 8

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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2026