Corey Weistuch
Impact in
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- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
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- Bioinformatics and Genomic Networks 3
- Mitochondrial Function and Pathology 2
- Gene Regulatory Network Analysis 2
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- Neural dynamics and brain function 5
- Functional Brain Connectivity Studies 2
- Co-authors
- Ken A. Dill (9 shared papers)Lilianne R. Mujica‐Parodi (10 shared papers)Steve Pressé (2 shared papers)Jason A. Wagoner (1 shared paper)Steve Pressé (1 shared paper)Purushottam D. Dixit (1 shared paper)Botond Antal (4 shared papers)Kingshuk Ghosh (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Biophysical Journal (2 papers)PLoS Computational Biology (2 papers)Briefings in Functional Genomics (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Corey Weistuch
19 papers receiving 280 citations
Peers
Comparison fields: 5 of 76
- Biological Psychiatry 10
- Physiology 93
- Statistical and Nonlinear Physics 47
- Clinical Biochemistry 15
- Aging 4
Countries citing papers authored by Corey Weistuch
This map shows the geographic impact of Corey Weistuch'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 Corey Weistuch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corey Weistuch more than expected).
Fields of papers citing papers by Corey Weistuch
This network shows the impact of papers produced by Corey Weistuch. 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 Corey Weistuch. The network helps show where Corey Weistuch may publish in the future.
Co-authors
The 25 scholars most cited alongside Corey Weistuch, 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 | 2020 | 104 | |
| 2 | Perspective: Maximum Caliber is a General Variational Principle for Dynamical Systems | 2018 | 60 |
| 3 | 2017 | 26 | |
| 4 | 2017 | 18 | |
| 5 | 2021 | 15 | |
| 6 | 2024 | 13 | |
| 7 | 2025 | 12 | |
| 8 | 2023 | 9 | |
| 9 | 2020 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 0 |
About Corey Weistuch
Corey Weistuch is a scholar working on Molecular Biology, Cognitive Neuroscience, Physiology, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 20 papers that have together received 284 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Diet and metabolism studies (5 papers), Bioinformatics and Genomic Networks (3 papers), Adipose Tissue and Metabolism (2 papers), Mitochondrial Function and Pathology (2 papers), Micro and Nano Robotics (2 papers), Gene Regulatory Network Analysis (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Biological Psychiatry (10 citations), Physiology (93 citations), Statistical and Nonlinear Physics (47 citations), Clinical Biochemistry (15 citations) and Aging (4 citations). Corey Weistuch has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Ken A. Dill, Lilianne R. Mujica‐Parodi, Steve Pressé, Jason A. Wagoner, Steve Pressé, Purushottam D. Dixit, Botond Antal, Kingshuk Ghosh, Anar Amgalan and Helmut H. Strey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, PLoS Computational Biology, Briefings in Functional Genomics and Clinical Cancer Research.
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.