Lawrence Hon
Impact in
- Archeology top 5%
- Genetics top 5%
- Forensic and Genetic Research
- Genetic Associations and Epidemiology
Papers in
-
- RNA and protein synthesis mechanisms 3
- Glycosylation and Glycoproteins Research 2
- Gene expression and cancer classification 2
- Genomics and Chromatin Dynamics 2
- Genetics 7
- Forensic and Genetic Research 2
- Genomic variations and chromosomal abnormalities 2
- Genomics and Rare Diseases 2
- Co-authors
- Zemin Zhang (5 shared papers)Joanna L. Mountain (3 shared papers)J. Michael Macpherson (3 shared papers)Serge Saxonov (2 shared papers)Itsik Pe’er (2 shared papers)Brenna M. Henn (2 shared papers)Nicholas Eriksson (1 shared paper)Brian Naughton (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Bioinformatics (1 paper)Genome Research (1 paper)Journal of the American Chemical Society (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesSingaporeItaly
In The Last Decade
Lawrence Hon
17 papers receiving 1.7k citations
Lawrence Hon's Hit Papers
Peers
Comparison fields: 5 of 142
- Archeology 22
- Genetics 502
- Cancer Research 213
- Molecular Biology 915
- Anthropology 89
Countries citing papers authored by Lawrence Hon
This map shows the geographic impact of Lawrence Hon'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 Lawrence Hon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Hon more than expected).
Fields of papers citing papers by Lawrence Hon
This network shows the impact of papers produced by Lawrence Hon. 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 Lawrence Hon. The network helps show where Lawrence Hon may publish in the future.
Co-authors
The 25 scholars most cited alongside Lawrence Hon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | DNA methylation on N6-adenine in mammalian embryonic stem cells Hit paper breakdown → | 2016 | 489 |
| 2 | 2010 | 321 | |
| 3 | Hunter-gatherer genomic diversity suggests a southern African origin for modern humans Hit paper breakdown → | 2011 | 305 |
| 4 | 2014 | 186 | |
| 5 | 2007 | 124 | |
| 6 | 2012 | 118 | |
| 7 | 2009 | 81 | |
| 8 | 2007 | 27 | |
| 9 | 2008 | 18 | |
| 10 | 2023 | 16 | |
| 11 | 2006 | 14 | |
| 12 | 2019 | 9 | |
| 13 | 2003 | 6 | |
| 14 | 2008 | 5 | |
| 15 | 2021 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2014 | 1 |
About Lawrence Hon
Lawrence Hon is a scholar working on Molecular Biology, Genetics, Cancer Research, Pharmacology and Anthropology, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers), Forensic and Genetic Research (2 papers), Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Genomics and Rare Diseases (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Archeology (22 citations), Genetics (502 citations), Cancer Research (213 citations), Molecular Biology (915 citations) and Anthropology (89 citations). Lawrence Hon has collaborated with scholars based in United States, Singapore and Italy. Frequent co-authors include Zemin Zhang, Joanna L. Mountain, J. Michael Macpherson, Serge Saxonov, Itsik Pe’er, Brenna M. Henn, Nicholas Eriksson, Brian Naughton, Anne Wojcicki and Joyce Y. Tung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics, Genome Research, Journal of the American Chemical Society and Genome biology.
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.