Daniel A. Chaves
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
Papers in
-
- CRISPR and Genetic Engineering 6
- RNA Research and Splicing 4
- RNA modifications and cancer 1
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Craig C. Mello (7 shared papers)Weifeng Gu (6 shared papers)Darryl Conte (6 shared papers)Julie M. Claycomb (4 shared papers)Pedro J. Batista (4 shared papers)Masaki Shirayama (3 shared papers)Shohei Mitani (3 shared papers)Kristin D. Kasschau (2 shared papers)
- Journals
- Molecular Cell (3 papers)Cell (3 papers)Proceedings of the National Academy of Sciences (1 paper)Biotropica (1 paper)Tropical Conservation Science (1 paper)
- Partner nations
- United StatesPortugalJapan
In The Last Decade
Daniel A. Chaves
9 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 55
- Aging 693
- Molecular Biology 1.4k
- Plant Science 559
- Cancer Research 188
- Genetics 110
Countries citing papers authored by Daniel A. Chaves
This map shows the geographic impact of Daniel A. Chaves'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 A. Chaves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Chaves more than expected).
Fields of papers citing papers by Daniel A. Chaves
This network shows the impact of papers produced by Daniel A. Chaves. 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 A. Chaves. The network helps show where Daniel A. Chaves may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Chaves, 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 | 452 | |
| 2 | 2009 | 390 | |
| 3 | 2009 | 346 | |
| 4 | 2010 | 179 | |
| 5 | 2012 | 173 | |
| 6 | 2015 | 66 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 2 |
About Daniel A. Chaves
Daniel A. Chaves is a scholar working on Molecular Biology, Aging, Plant Science, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Chromosomal and Genetic Variations (4 papers), RNA Research and Splicing (4 papers), Plant Diversity and Evolution (2 papers), Plant and animal studies (2 papers), Ecology and Vegetation Dynamics Studies (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Aging (693 citations), Molecular Biology (1.4k citations), Plant Science (559 citations), Cancer Research (188 citations) and Genetics (110 citations). Daniel A. Chaves has collaborated with scholars based in United States, Portugal and Japan. Frequent co-authors include Craig C. Mello, Weifeng Gu, Darryl Conte, Julie M. Claycomb, Pedro J. Batista, Masaki Shirayama, Shohei Mitani, Kristin D. Kasschau, Shenghua Duan and James C. Carrington. Their work appears in journals such as Molecular Cell, Cell, Proceedings of the National Academy of Sciences, Biotropica and Tropical Conservation Science.
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.