Jeremy D. Cook
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Renewable Energy, Sustainability and the Environment
- Cell Biology
- Nutrition and Dietetics
- Co-authors
- Timothy L. StemmlerKrisztina Z. BenczeKalyan C. KondapalliCésar Millán‐PachecoNina PastorStephen B. McMahonGabriel H. TravisJoanna J. Kaylor
- Topics
- Retinal Development and Disorders (4 papers)Mitochondrial Function and Pathology (3 papers)Retinoids in leukemia and cellular processes (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceRenewable Energy, Sustainability and the EnvironmentMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesMexicoUnited Kingdom
In The Last Decade
Jeremy D. Cook
12 papers receiving 560 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 431
- Cellular and Molecular Neuroscience 220
- Renewable Energy, Sustainability and the Environment 105
- Cell Biology 85
- Nutrition and Dietetics 76
Countries citing papers authored by Jeremy D. Cook
This map shows the geographic impact of Jeremy D. 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 Jeremy D. Cook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy D. Cook more than expected).
Fields of papers citing papers by Jeremy D. Cook
This network shows the impact of papers produced by Jeremy D. 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 Jeremy D. Cook. The network helps show where Jeremy D. Cook may publish in the future.
Co-authorship network of co-authors of Jeremy D. Cook
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy D. Cook. A scholar is included among the top collaborators of Jeremy D. Cook based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeremy D. Cook. Jeremy D. Cook is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 41 | |
| 3 | Functional Characterization of Peropsin in the Retinal Pigment Epithelium | 1 |
| 4 | 87 | |
| 5 | 21 | |
| 6 | 56 | |
| 7 | 4 | |
| 8 | 12 | |
| 9 | 22 | |
| 10 | 63 | |
| 11 | 133 | |
| 12 | 110 |
About Jeremy D. Cook
Jeremy D. Cook is a scholar working on Ophthalmology, Cell Biology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 566 indexed citations. Recurring topics across this work include Retinal Development and Disorders (4 papers), Mitochondrial Function and Pathology (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (220 citations), Renewable Energy, Sustainability and the Environment (105 citations) and Molecular Biology (431 citations). Jeremy D. Cook has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Timothy L. Stemmler, Krisztina Z. Bencze, Kalyan C. Kondapalli, César Millán‐Pacheco, Nina Pastor, Stephen B. McMahon, Gabriel H. Travis, Joanna J. Kaylor, Jacob Makshanoff and Ana Janković. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.