Christopher M. Patrick
Impact in
-
- Neurobiology and Insect Physiology Research
- Aging top 5%
Papers in
- Genetics 10
- Diabetes and associated disorders 7
- Insect and Arachnid Ecology and Behavior 3
-
- Diet, Metabolism, and Disease 2
- Co-authors
- Fraser W. Scott (11 shared papers)Ruchi Parekh (2 shared papers)Kaiyu Wang (2 shared papers)Nora Forknall (2 shared papers)Tansy Yang (2 shared papers)Fei Wang (2 shared papers)Barry J. Dickson (2 shared papers)Gen‐Sheng Wang (8 shared papers)
- Journals
- Diabetes (2 papers)Nature (2 papers)Journal of Cellular Physiology (1 paper)Journal of Endocrinology (1 paper)eLife (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Christopher M. Patrick
17 papers receiving 1.1k citations
Christopher M. Patrick's Hit Papers
Peers
Comparison fields: 5 of 108
- Cellular and Molecular Neuroscience 583
- Aging 50
- Structural Biology 37
- Biophysics 86
- Genetics 368
Countries citing papers authored by Christopher M. Patrick
This map shows the geographic impact of Christopher M. Patrick'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 Christopher M. Patrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Patrick more than expected).
Fields of papers citing papers by Christopher M. Patrick
This network shows the impact of papers produced by Christopher M. Patrick. 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 Christopher M. Patrick. The network helps show where Christopher M. Patrick may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher M. Patrick, 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 | A connectome and analysis of the adult Drosophila central brain Hit paper breakdown → | 2020 | 672 |
| 2 | 2020 | 109 | |
| 3 | 2020 | 70 | |
| 4 | 2015 | 51 | |
| 5 | 2013 | 49 | |
| 6 | 2009 | 27 | |
| 7 | 2022 | 26 | |
| 8 | 2015 | 22 | |
| 9 | 2016 | 21 | |
| 10 | 2007 | 20 | |
| 11 | 2010 | 14 | |
| 12 | 2018 | 7 | |
| 13 | 2015 | 7 | |
| 14 | 2011 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2007 | 2 | |
| 18 | 2025 | 0 |
About Christopher M. Patrick
Christopher M. Patrick is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Surgery and Molecular Biology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (5 papers), Gut microbiota and health (5 papers), Insect and Arachnid Ecology and Behavior (3 papers), Neurobiology and Insect Physiology Research (3 papers), Animal Behavior and Reproduction (2 papers), Diet, Metabolism, and Disease (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (583 citations), Aging (50 citations), Structural Biology (37 citations), Biophysics (86 citations) and Genetics (368 citations). Christopher M. Patrick has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Fraser W. Scott, Ruchi Parekh, Kaiyu Wang, Nora Forknall, Tansy Yang, Fei Wang, Barry J. Dickson, Gen‐Sheng Wang, Davi D. Bock and Lynley D. Pound. Their work appears in journals such as Diabetes, Nature, Journal of Cellular Physiology, Journal of Endocrinology and eLife.
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.