David Kokel
- Cell Biology top 0.5%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Health, Toxicology and Mutagenesis top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Randall T. PetersonStephen J. HaggartyDing XueTjakko J. van HamSumin JangSteven ZimmermanAnthony C. ArvanitesLee L. Rubin
- Topics
- Zebrafish Biomedical Research Applications (13 papers)Receptor Mechanisms and Signaling (11 papers)Genetics, Aging, and Longevity in Model Organisms (5 papers)
- Cited by
- AgingCell BiologyNeurology
- Journals
- NatureScienceNature Communications
- Partner nations
- United StatesJapanGermany
In The Last Decade
David Kokel
25 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cell Biology 1.2k
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 438
- Health, Toxicology and Mutagenesis 229
- Cognitive Neuroscience 218
Countries citing papers authored by David Kokel
This map shows the geographic impact of David Kokel'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 David Kokel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Kokel more than expected).
Fields of papers citing papers by David Kokel
This network shows the impact of papers produced by David Kokel. 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 David Kokel. The network helps show where David Kokel may publish in the future.
Co-authorship network of co-authors of David Kokel
This figure shows the co-authorship network connecting the top 25 collaborators of David Kokel. A scholar is included among the top collaborators of David Kokel 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 David Kokel. David Kokel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 28 | |
| 4 | 29 | |
| 5 | 111 | |
| 6 | 27 | |
| 7 | 68 | |
| 8 | 91 | |
| 9 | 38 | |
| 10 | 62 | |
| 11 | 65 | |
| 12 | 92 | |
| 13 | 401 | |
| 14 | 6 | |
| 15 | Zebrafish Behavioral Profiling Links Drugs to Biological Targets and Rest/Wake Regulationbreakdown → | 572 |
| 16 | 96 | |
| 17 | 115 | |
| 18 | 10 | |
| 19 | 32 | |
| 20 | 180 |
About David Kokel
David Kokel is a scholar working on Aging, Biological Psychiatry and Cell Biology, having authored 25 papers that have together received 2.4k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (13 papers), Receptor Mechanisms and Signaling (11 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). The work is most often cited by research in Aging (182 citations), Cell Biology (1.2k citations) and Neurology (203 citations). David Kokel has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Randall T. Peterson, Stephen J. Haggarty, Ding Xue, Tjakko J. van Ham, Sumin Jang, Steven Zimmerman, Anthony C. Arvanites, Lee L. Rubin, Alexander F. Schier and David A. Prober. Their work appears in journals such as Nature, Science and Nature Communications.
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.