Darryl Conte
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms 18
- Cancer Research top 1%
- Molecular Biology top 1%
- CRISPR and Genetic Engineering 21
- RNA Research and Splicing 4
- Pluripotent Stem Cells Research 3
- RNA regulation and disease 3
- RNA Interference and Gene Delivery 3
- Plant Science top 1%
- Chromosomal and Genetic Variations 9
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- interferon and immune responses 3
- Co-authors
- Craig C. MelloWeifeng GuMasaki ShirayamaGary RuvkunSusan ParrishAmy E. PasquinelliNa LiAndrew Fire
- Partner nations
- United StatesPortugalJapan
In The Last Decade
Darryl Conte
32 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 2.0k
- Cancer Research 1.4k
- Molecular Biology 5.4k
- Plant Science 1.6k
- Endocrine and Autonomic Systems 140
Countries citing papers authored by Darryl Conte
This map shows the geographic impact of Darryl Conte'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 Darryl Conte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryl Conte more than expected).
Fields of papers citing papers by Darryl Conte
This network shows the impact of papers produced by Darryl Conte. 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 Darryl Conte. The network helps show where Darryl Conte may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Darryl Conte, 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 | 2021 | 14 | |
| 2 | 2021 | 11 | |
| 3 | 2020 | 18 | |
| 4 | Genome-Wide CRISPR Screen Identifies Regulators of Mitogen-Activated Protein Kinase as Suppressors of Liver Tumors in Mice | 2017 | 1 |
| 5 | 2016 | 87 | |
| 6 | 2015 | 64 | |
| 7 | 2014 | 51 | |
| 8 | 2014 | 20 | |
| 9 | 2014 | 98 | |
| 10 | 2012 | 169 | |
| 11 | 2012 | 287 | |
| 12 | 2012 | 438 | |
| 13 | 2011 | 17 | |
| 14 | 2009 | 339 | |
| 15 | 2009 | 384 | |
| 16 | 2008 | 441 | |
| 17 | 2006 | 309 | |
| 18 | 2005 | 223 | |
| 19 | Revealing the world of RNA interferencebreakdown → | 2004 | 721 |
| 20 | Genes and Mechanisms Related to RNA Interference Regulate Expression of the Small Temporal RNAs that Control C. elegans Developmental Timingbreakdown → | 2001 | 1497 |
About Darryl Conte
Darryl Conte is a scholar working on Aging, Business and International Management, Molecular Biology, Plant Science and Immunology, having authored 32 papers that have together received 6.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (21 papers), Genetics, Aging, and Longevity in Model Organisms (18 papers), Chromosomal and Genetic Variations (9 papers), RNA Research and Splicing (4 papers), interferon and immune responses (3 papers), Pluripotent Stem Cells Research (3 papers), RNA regulation and disease (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Aging (2.0k citations), Cancer Research (1.4k citations), Molecular Biology (5.4k citations), Plant Science (1.6k citations) and Endocrine and Autonomic Systems (140 citations). Darryl Conte has collaborated with scholars based in United States, Portugal and Japan. Frequent co-authors include Craig C. Mello, Weifeng Gu, Masaki Shirayama, Gary Ruvkun, Susan Parrish, Amy E. Pasquinelli, Na Li, Andrew Fire, Alla Grishok and David L. Baillie. Their work appears in journals such as Cell, eLife, Molecular Cell, Nature and Current Protocols in Molecular 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.