Catherine Do
Impact in
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- Lymphoma Diagnosis and Treatment
- Oncology top 10%
- Viral-associated cancers and disorders
- Pancreatic and Hepatic Oncology Research
Papers in
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- Epigenetics and DNA Methylation 17
- Genomics and Chromatin Dynamics 3
- Oncology 11
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Benjamin Tycko (15 shared papers)Camille Laurent (5 shared papers)Pierre Brousset (4 shared papers)Guy Laurent (3 shared papers)Emmanuel Dumont (3 shared papers)Randy D. Gascoyne (2 shared papers)Loïc Ysebaert (2 shared papers)Mary Beth Terry (3 shared papers)
- Journals
- Eurosurveillance (2 papers)Medicine (2 papers)PLoS Genetics (2 papers)PLoS neglected tropical diseases (2 papers)Oncogene (2 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Catherine Do
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Pathology and Forensic Medicine 296
- Oncology 438
- Immunology 230
- Obstetrics and Gynecology 74
- Molecular Biology 634
Countries citing papers authored by Catherine Do
This map shows the geographic impact of Catherine Do'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 Catherine Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Do more than expected).
Fields of papers citing papers by Catherine Do
This network shows the impact of papers produced by Catherine Do. 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 Catherine Do. The network helps show where Catherine Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Do, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 121 | |
| 2 | 2009 | 113 | |
| 3 | 2009 | 99 | |
| 4 | 2017 | 95 | |
| 5 | 2013 | 87 | |
| 6 | 2016 | 77 | |
| 7 | 2016 | 67 | |
| 8 | 2011 | 63 | |
| 9 | 2017 | 56 | |
| 10 | 2012 | 55 | |
| 11 | 2017 | 54 | |
| 12 | 2018 | 47 | |
| 13 | 2015 | 44 | |
| 14 | 2016 | 43 | |
| 15 | 2011 | 41 | |
| 16 | 2009 | 40 | |
| 17 | 2014 | 38 | |
| 18 | 2019 | 34 | |
| 19 | 2013 | 31 | |
| 20 | 2016 | 31 |
About Catherine Do
Catherine Do is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Genetics and Public Health, Environmental and Occupational Health, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Genetic Syndromes and Imprinting (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Genetic factors in colorectal cancer (3 papers), Immune Cell Function and Interaction (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (296 citations), Oncology (438 citations), Immunology (230 citations), Obstetrics and Gynecology (74 citations) and Molecular Biology (634 citations). Catherine Do has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Benjamin Tycko, Camille Laurent, Pierre Brousset, Guy Laurent, Emmanuel Dumont, Randy D. Gascoyne, Loïc Ysebaert, Mary Beth Terry, Henry Hess and Joel Gelernter. Their work appears in journals such as Eurosurveillance, Medicine, PLoS Genetics, PLoS neglected tropical diseases and Oncogene.
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.