Christopher Dinh
Impact in
- Genetics top 5%
- BRCA gene mutations in cancer
- Molecular Biology top 10%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
-
- Protist diversity and phylogeny 2
- Bioinformatics and Genomic Networks 2
- Gene Regulatory Network Analysis 2
- Genetics 5
- Genetic and Kidney Cyst Diseases 2
- Evolution and Genetic Dynamics 2
- Co-authors
- Urs Albrecht (1 shared paper)Masami Morimatsu (1 shared paper)Gregor Eichele (1 shared paper)Allan Bradley (1 shared paper)Shyam K. Sharan (1 shared paper)Dae‐Sik Lim (1 shared paper)Paul Hasty (1 shared paper)Arthur Sands (1 shared paper)
- Journals
- Nature (2 papers)PLoS ONE (2 papers)The International Journal of Developmental Biology (1 paper)Science (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Christopher Dinh
15 papers receiving 1.1k citations
Christopher Dinh's Hit Papers
Peers
Comparison fields: 5 of 86
- Genetics 526
- Molecular Biology 799
- Cancer Research 162
- Oncology 216
- Aging 13
Countries citing papers authored by Christopher Dinh
This map shows the geographic impact of Christopher Dinh'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 Christopher Dinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Dinh more than expected).
Fields of papers citing papers by Christopher Dinh
This network shows the impact of papers produced by Christopher Dinh. 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 Christopher Dinh. The network helps show where Christopher Dinh may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Dinh, 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 | Embryonic lethality and radiation hypersensitivity mediated by Rad51 in mice lacking Brca2 Hit paper breakdown → | 1997 | 848 |
| 2 | 2008 | 104 | |
| 3 | 2013 | 31 | |
| 4 | 2018 | 27 | |
| 5 | 2015 | 18 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2013 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2010 | 7 | |
| 12 | 2024 | 3 | |
| 13 | 2014 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 1 |
About Christopher Dinh
Christopher Dinh is a scholar working on Molecular Biology, Genetics, Cell Biology, Endocrinology and Sociology and Political Science, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Evolution and Genetic Dynamics (2 papers), Protist diversity and phylogeny (2 papers), Bioinformatics and Genomic Networks (2 papers), Vibrio bacteria research studies (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Genetics (526 citations), Molecular Biology (799 citations), Cancer Research (162 citations), Oncology (216 citations) and Aging (13 citations). Christopher Dinh has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Urs Albrecht, Masami Morimatsu, Gregor Eichele, Allan Bradley, Shyam K. Sharan, Dae‐Sik Lim, Paul Hasty, Arthur Sands, Adam Kuspa and Gad Shaulsky. Their work appears in journals such as Nature, PLoS ONE, The International Journal of Developmental Biology, Science and PLoS Computational 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.