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
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- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- DNA and Nucleic Acid Chemistry 1
- Co-authors
- Man‐Wah Tan (2 shared papers)Trupti Kawli (1 shared paper)Dale Muzzey (1 shared paper)Amy S. Patterson (1 shared paper)Jason Flannick (1 shared paper)Balaji S. Srinivasan (1 shared paper)Pasquale Patrizio (1 shared paper)Christopher Chang (1 shared paper)
- Journals
- PeerJ (2 papers)Fertility and Sterility (1 paper)PLoS Pathogens (1 paper)Reproductive BioMedicine Online (1 paper)Clinical Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Eric Evans
9 papers receiving 471 citations
Peers
Comparison fields: 5 of 77
- Aging 224
- Endocrine and Autonomic Systems 81
- Biological Psychiatry 17
- Endocrinology 24
- Genetics 106
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 | 174 | |
| 2 | 2008 | 109 | |
| 3 | 2015 | 85 | |
| 4 | 2010 | 78 | |
| 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 | 2 | |
| 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 482 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), Advanced biosensing and bioanalysis techniques (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Aging (224 citations), Endocrine and Autonomic Systems (81 citations), Biological Psychiatry (17 citations), Endocrinology (24 citations) and Genetics (106 citations). Eric Evans has collaborated with scholars based in United States. Frequent co-authors include Man‐Wah Tan, Trupti Kawli, Dale Muzzey, Amy S. Patterson, Jason Flannick, Balaji S. Srinivasan, Pasquale Patrizio, Christopher Chang, James Lee and Amit Kaushal. Their work appears in journals such as PeerJ, Fertility and Sterility, PLoS Pathogens, Reproductive BioMedicine Online and Clinical Chemistry.
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.