Daniel E. Cook
Impact in
Papers in
- Co-authors
- Erik C. Andersen (18 shared papers)Stefan Zdraljevic (11 shared papers)Daehan Lee (8 shared papers)Robyn E. Tanny (7 shared papers)Shannon C. Brady (4 shared papers)Kelli K. Ryckman (4 shared papers)Stanton L. Berberich (4 shared papers)Jeffrey Clark Murray (4 shared papers)
- Journals
- Genetics (4 papers)Nature Ecology & Evolution (2 papers)Molecular Ecology (1 paper)eLife (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Daniel E. Cook
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Aging 483
- Genetics 383
- Endocrine and Autonomic Systems 71
- Parasitology 71
- Small Animals 63
Countries citing papers authored by Daniel E. Cook
This map shows the geographic impact of Daniel E. Cook'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 E. Cook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Cook more than expected).
Fields of papers citing papers by Daniel E. Cook
This network shows the impact of papers produced by Daniel E. Cook. 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 E. Cook. The network helps show where Daniel E. Cook may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Cook, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 200 | |
| 2 | 2017 | 93 | |
| 3 | 2022 | 90 | |
| 4 | 2021 | 84 | |
| 5 | 2019 | 75 | |
| 6 | 2016 | 71 | |
| 7 | 2015 | 57 | |
| 8 | 2012 | 56 | |
| 9 | 2018 | 50 | |
| 10 | 2017 | 50 | |
| 11 | 2017 | 44 | |
| 12 | 2019 | 37 | |
| 13 | 2018 | 31 | |
| 14 | 2019 | 29 | |
| 15 | 2012 | 17 | |
| 16 | 2013 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2012 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 12 |
About Daniel E. Cook
Daniel E. Cook is a scholar working on Aging, Genetics, Clinical Biochemistry, Molecular Biology and Ecology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (13 papers), Evolution and Genetic Dynamics (9 papers), Metabolism and Genetic Disorders (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), CRISPR and Genetic Engineering (3 papers), Genomics and Phylogenetic Studies (2 papers), Parasite Biology and Host Interactions (2 papers) and Nematode management and characterization studies (2 papers). The work is most often cited by research in Aging (483 citations), Genetics (383 citations), Endocrine and Autonomic Systems (71 citations), Parasitology (71 citations) and Small Animals (63 citations). Daniel E. Cook has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Erik C. Andersen, Stefan Zdraljevic, Daehan Lee, Robyn E. Tanny, Shannon C. Brady, Kelli K. Ryckman, Stanton L. Berberich, Jeffrey Clark Murray, Ye Wang and Oleg A. Shchelochkov. Their work appears in journals such as Genetics, Nature Ecology & Evolution, Molecular Ecology, eLife and PLoS neglected tropical diseases.
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.