Ken Sin Lo
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Oncology top 10%
- PARP inhibition in cancer therapy
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 7
- Hemoglobinopathies and Related Disorders 3
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- Epigenetics and DNA Methylation 2
- Co-authors
- Michael J. Hendzel (1 shared paper)Sylvie Bourassa (1 shared paper)Maxim Isabelle (1 shared paper)Ted M. Dawson (1 shared paper)Guy G. Poirier (2 shared papers)Jean-Philippe Gagné (1 shared paper)Valina L. Dawson (1 shared paper)Guillaume Lettre (14 shared papers)
- Journals
- Human Genetics (2 papers)Genome biology (1 paper)Journal of the American Heart Association (1 paper)Nucleic Acids Research (1 paper)Circulation Genomic and Precision Medicine (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Ken Sin Lo
19 papers receiving 745 citations
Peers
Comparison fields: 5 of 81
- Physiology 53
- Oncology 276
- Hematology 61
- Immunology 110
- Molecular Biology 362
Countries citing papers authored by Ken Sin Lo
This map shows the geographic impact of Ken Sin Lo'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 Ken Sin Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Sin Lo more than expected).
Fields of papers citing papers by Ken Sin Lo
This network shows the impact of papers produced by Ken Sin Lo. 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 Ken Sin Lo. The network helps show where Ken Sin Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Sin Lo, 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 | 2008 | 334 | |
| 2 | 2015 | 63 | |
| 3 | 2014 | 50 | |
| 4 | 2010 | 49 | |
| 5 | 2005 | 48 | |
| 6 | 2019 | 46 | |
| 7 | 2019 | 26 | |
| 8 | 2018 | 25 | |
| 9 | 2023 | 21 | |
| 10 | 2018 | 20 | |
| 11 | 2004 | 16 | |
| 12 | 2016 | 13 | |
| 13 | 2014 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2012 | 9 | |
| 16 | 2008 | 5 | |
| 17 | 2010 | 4 | |
| 18 | 1999 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Ken Sin Lo
Ken Sin Lo is a scholar working on Genetics, Molecular Biology, Hematology, Genetics and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 752 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Hemoglobinopathies and Related Disorders (3 papers), Epigenetics and DNA Methylation (2 papers), Hemophilia Treatment and Research (2 papers), Blood groups and transfusion (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Prenatal Screening and Diagnostics (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Physiology (53 citations), Oncology (276 citations), Hematology (61 citations), Immunology (110 citations) and Molecular Biology (362 citations). Ken Sin Lo has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Michael J. Hendzel, Sylvie Bourassa, Maxim Isabelle, Ted M. Dawson, Guy G. Poirier, Jean-Philippe Gagné, Valina L. Dawson, Guillaume Lettre, Scott L. Diamond and Jean‐Claude Tardif. Their work appears in journals such as Human Genetics, Genome biology, Journal of the American Heart Association, Nucleic Acids Research and Circulation Genomic and Precision Medicine.
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.