Nicholas Gekakis
- Endocrine and Autonomic Systems top 0.1%
- Plant Science top 2%
- Physiology top 2%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Charles J. WeitzDavid StaknisJoseph S. TakahashiDavid P. KingFred C. DavisLisa D. WilsbacherKaren Wager‐SmithThomas K. Darlington
- Topics
- Pancreatic function and diabetes (8 papers)Circadian rhythm and melatonin (5 papers)Endoplasmic Reticulum Stress and Disease (5 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Nicholas Gekakis
20 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Endocrine and Autonomic Systems 2.7k
- Plant Science 1.3k
- Physiology 902
- Molecular Biology 880
- Cellular and Molecular Neuroscience 852
Countries citing papers authored by Nicholas Gekakis
This map shows the geographic impact of Nicholas Gekakis'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 Nicholas Gekakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Gekakis more than expected).
Fields of papers citing papers by Nicholas Gekakis
This network shows the impact of papers produced by Nicholas Gekakis. 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 Nicholas Gekakis. The network helps show where Nicholas Gekakis may publish in the future.
Co-authorship network of co-authors of Nicholas Gekakis
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Gekakis. A scholar is included among the top collaborators of Nicholas Gekakis 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 Nicholas Gekakis. Nicholas Gekakis 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 | 43 | |
| 3 | 36 | |
| 4 | 8 | |
| 5 | 32 | |
| 6 | 29 | |
| 7 | 53 | |
| 8 | 68 | |
| 9 | 105 | |
| 10 | 135 | |
| 11 | 51 | |
| 12 | 85 | |
| 13 | Role of the CLOCK Protein in the Mammalian Circadian Mechanismbreakdown → | 1643 |
| 14 | 312 | |
| 15 | Closing the Circadian Loop: CLOCK-Induced Transcription of Its Own Inhibitors per and timbreakdown → | 688 |
| 16 | 306 | |
| 17 | 6 | |
| 18 | 23 | |
| 19 | 13 | |
| 20 | 44 |
About Nicholas Gekakis
Nicholas Gekakis is a scholar working on Endocrine and Autonomic Systems, Aging and Cell Biology, having authored 21 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Circadian rhythm and melatonin (5 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.7k citations), Aging (631 citations) and Cellular and Molecular Neuroscience (852 citations). Nicholas Gekakis has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Charles J. Weitz, David Staknis, Joseph S. Takahashi, David P. King, Fred C. Davis, Lisa D. Wilsbacher, Karen Wager‐Smith, Thomas K. Darlington, Thomas Steeves and M. Fernanda Ceriani. Their work appears in journals such as Science, Journal of Biological Chemistry and Neuron.
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.