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 7
- DNA Repair Mechanisms 2
- Epigenetics and DNA Methylation 2
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- Anindya Bagchi (1 shared paper)Cristian Papazoglu (1 shared paper)Michael D. Brodt (1 shared paper)Alea A. Mills (1 shared paper)Hannes Vogel (1 shared paper)Ying Wu (1 shared paper)Markus Bredel (1 shared paper)Dailia B. Francis (1 shared paper)
- Journals
- BMC Genomics (2 papers)The American Journal of Human Genetics (1 paper)Biostatistics (1 paper)Molecular Cell (1 paper)Cell (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Daniel Capurso
11 papers receiving 907 citations
Peers
Comparison fields: 5 of 65
- Aging 47
- Molecular Biology 794
- Business and International Management 18
- Cancer Research 115
- Genetics 172
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 | 310 | |
| 2 | 2007 | 271 | |
| 3 | 2019 | 155 | |
| 4 | 2015 | 69 | |
| 5 | 2012 | 42 | |
| 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 Parasitology, Molecular Biology, Plant Science, Genetics and Cancer Research, having authored 11 papers that have together received 918 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Chromosomal and Genetic Variations (4 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Aging (47 citations), Molecular Biology (794 citations), Business and International Management (18 citations), Cancer Research (115 citations) and Genetics (172 citations). Daniel Capurso has collaborated with scholars based in United States and China. Frequent co-authors include Anindya Bagchi, Cristian Papazoglu, Michael D. Brodt, Alea A. Mills, Hannes Vogel, Ying Wu, Markus Bredel, Dailia B. Francis, Mark R. Segal and Matthew S. Thompson. Their work appears in journals such as BMC Genomics, The American Journal of Human Genetics, Biostatistics, Molecular Cell 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.