Daniel Capurso
Impact in
- Aging top 5%
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- RNA Research and Splicing
- Pluripotent Stem Cells Research
Papers in
-
- Genomics and Chromatin Dynamics 6
- DNA Repair Mechanisms 2
- Machine Learning in Bioinformatics 2
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
-
- Chromosomal and Genetic Variations 4
- Co-authors
- Alea A. Mills (1 shared paper)Dailia B. Francis (1 shared paper)Michael D. Brodt (1 shared paper)Markus Bredel (1 shared paper)Cristian Papazoglu (1 shared paper)Ying Wu (1 shared paper)Anindya Bagchi (1 shared paper)Hannes Vogel (1 shared paper)
- Journals
- BMC Genomics (2 papers)Molecular Cell (1 paper)Clinical and Vaccine Immunology (1 paper)Nature (1 paper)Cell (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Daniel Capurso
11 papers receiving 916 citations
Peers
Comparison fields: 5 of 63
- Aging 45
- Molecular Biology 770
- Business and International Management 17
- Cancer Research 105
- Genetics 157
Countries citing papers authored by Daniel Capurso
This map shows the geographic impact of Daniel Capurso'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 Daniel Capurso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Capurso more than expected).
Fields of papers citing papers by Daniel Capurso
This network shows the impact of papers produced by Daniel Capurso. 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 Daniel Capurso. The network helps show where Daniel Capurso may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Capurso, 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 | 2016 | 315 | |
| 2 | 2007 | 273 | |
| 3 | 2019 | 156 | |
| 4 | 2015 | 69 | |
| 5 | 2012 | 43 | |
| 6 | 2009 | 18 | |
| 7 | 2014 | 16 | |
| 8 | 2016 | 13 | |
| 9 | 2014 | 11 | |
| 10 | 2012 | 7 | |
| 11 | 2011 | 6 |
About Daniel Capurso
Daniel Capurso is a scholar working on Molecular Biology, Plant Science, Genetics, Surgery and Physiology, having authored 11 papers that have together received 927 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Chromosomal and Genetic Variations (4 papers), DNA Repair Mechanisms (2 papers), Machine Learning in Bioinformatics (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Aging (45 citations), Molecular Biology (770 citations), Business and International Management (17 citations), Cancer Research (105 citations) and Genetics (157 citations). Daniel Capurso has collaborated with scholars based in United States and China. Frequent co-authors include Alea A. Mills, Dailia B. Francis, Michael D. Brodt, Markus Bredel, Cristian Papazoglu, Ying Wu, Anindya Bagchi, Hannes Vogel, Mark R. Segal and Bastien Vidal. Their work appears in journals such as BMC Genomics, Molecular Cell, Clinical and Vaccine Immunology, Nature and Cell.
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.