Johnson Y.N. Lau

11.2k total citations · 3 hit papers
134 papers, 8.2k citations indexed

About

Johnson Y.N. Lau is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Johnson Y.N. Lau has authored 134 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Hepatology, 92 papers in Epidemiology and 21 papers in Molecular Biology. Recurrent topics in Johnson Y.N. Lau's work include Hepatitis C virus research (104 papers), Hepatitis B Virus Studies (74 papers) and Liver Disease Diagnosis and Treatment (57 papers). Johnson Y.N. Lau is often cited by papers focused on Hepatitis C virus research (104 papers), Hepatitis B Virus Studies (74 papers) and Liver Disease Diagnosis and Treatment (57 papers). Johnson Y.N. Lau collaborates with scholars based in United States, Japan and Hong Kong. Johnson Y.N. Lau's co-authors include Gary L. Davis, David R. Nelson, Ching‐Lung Lai, Etsuro Orito, Judith C. Wilber, Paul Neuwald, Kui Qian, M. S. Urdea, Masashi Mizokami and Teresa L. Wright and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

In The Last Decade

Johnson Y.N. Lau

132 papers receiving 7.8k citations

Hit Papers

Significance of serum hepatitis C virus RNA levels in chr... 1993 2026 2004 2015 1993 1999 1996 200 400 600

Peers

Johnson Y.N. Lau
Comparison fields: 5 of 121
  • Hepatology 6.6k
  • Epidemiology 6.1k
  • Molecular Biology 1.1k
  • Rheumatology 772
  • Infectious Diseases 771
Replace Sugantha Govindarajan with:
Sugantha Govindarajan United States
C. Trépo France
M. Diago Spain
Christian Trépo France
Massimo Colombo Italy
Johnson Y. N. Lau United States
Robert S. Kauffman United States
Stefan Zeuzem Germany
Paul J. Pockros United States
Ferruccio Bonino Italy
Sugantha Govindarajan United States View profile →
Citations per field, relative to Johnson Y.N. Lau
Johnson Y.N. Lau · 1×
Citations per year, relative to Johnson Y.N. Lau
Johnson Y.N. Lau · 1×

Countries citing papers authored by Johnson Y.N. Lau

Since Specialization
Citations

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

Fields of papers citing papers by Johnson Y.N. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnson Y.N. 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 Johnson Y.N. Lau. The network helps show where Johnson Y.N. Lau may publish in the future.

Co-authorship network of co-authors of Johnson Y.N. Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Johnson Y.N. Lau. A scholar is included among the top collaborators of Johnson Y.N. 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 Johnson Y.N. Lau. Johnson Y.N. 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
# Work Indexed citations
1 342
2 12
3 164
4 22
5 290
6 1
7 112
8 16
9 1
10 16
11 21
12 93
13 18
14 19
15 9
16 107
17 48
18 156
19 2
20 13

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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