Eric Evans
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
- Genetics 7
- Genomics and Rare Diseases 5
- Genomic variations and chromosomal abnormalities 3
- BRCA gene mutations in cancer 2
- Genetics and Neurodevelopmental Disorders 1
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- CRISPR and Genetic Engineering 2
- DNA Repair Mechanisms 1
- Co-authors
- Man‐Wah Tan (2 shared papers)Trupti Kawli (1 shared paper)Dale Muzzey (1 shared paper)Pasquale Patrizio (1 shared paper)Jessica Jacobson (1 shared paper)Amit Kaushal (1 shared paper)Amy S. Patterson (1 shared paper)Balaji S. Srinivasan (1 shared paper)
- Journals
- PeerJ (2 papers)Clinical Chemistry (1 paper)Fertility and Sterility (1 paper)Reproductive BioMedicine Online (1 paper)Aging Cell (1 paper)
- Partner nations
- United States
In The Last Decade
Eric Evans
9 papers receiving 500 citations
Peers
Comparison fields: 5 of 76
- Aging 228
- Endocrine and Autonomic Systems 80
- Biological Psychiatry 17
- Endocrinology 26
- Genetics 98
Countries citing papers authored by Eric Evans
This map shows the geographic impact of Eric Evans'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 Eric Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Evans more than expected).
Fields of papers citing papers by Eric Evans
This network shows the impact of papers produced by Eric Evans. 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 Eric Evans. The network helps show where Eric Evans may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Evans, 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 | 179 | |
| 2 | 2008 | 116 | |
| 3 | 2015 | 96 | |
| 4 | 2010 | 82 | |
| 5 | 2017 | 15 | |
| 6 | 2016 | 13 | |
| 7 | FROM THE CLUETRAIN TO THE PANOPTICON: ISP ACTIVITY CHARACTERIZATION AND CONTROL OF INTERNET COMMUNICATIONS | 2004 | 4 |
| 8 | 2016 | 3 | |
| 9 | 2016 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2016 | 0 |
About Eric Evans
Eric Evans is a scholar working on Genetics, Molecular Biology, Cancer Research, Aging and Endocrine and Autonomic Systems, having authored 11 papers that have together received 510 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), Cancer Genomics and Diagnostics (3 papers), Genomic variations and chromosomal abnormalities (3 papers), BRCA gene mutations in cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), DNA Repair Mechanisms (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Aging (228 citations), Endocrine and Autonomic Systems (80 citations), Biological Psychiatry (17 citations), Endocrinology (26 citations) and Genetics (98 citations). Eric Evans has collaborated with scholars based in United States. Frequent co-authors include Man‐Wah Tan, Trupti Kawli, Dale Muzzey, Pasquale Patrizio, Jessica Jacobson, Amit Kaushal, Amy S. Patterson, Balaji S. Srinivasan, Christopher Chang and James Lee. Their work appears in journals such as PeerJ, Clinical Chemistry, Fertility and Sterility, Reproductive BioMedicine Online and Aging 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.