Bree Cummins
Impact in
- Modeling and Simulation top 10%
-
- Circadian rhythm and melatonin
Papers in
-
- Gene Regulatory Network Analysis 22
- Bioinformatics and Genomic Networks 15
- Microbial Metabolic Engineering and Bioproduction 10
- CRISPR and Genetic Engineering 2
- Single-cell and spatial transcriptomics 2
- Genetics 8
- Evolution and Genetic Dynamics 7
- Co-authors
- Tomáš Gedeon (23 shared papers)Ricardo Cortez (3 shared papers)Konstantin Mischaikow (8 shared papers)James Mac Hyman (1 shared paper)Isaac Klapper (1 shared paper)Ivo Foppa (1 shared paper)Ying Xin (1 shared paper)Steven B. Haase (8 shared papers)
- Journals
- SIAM Journal on Applied Dynamical Systems (5 papers)PLoS Computational Biology (3 papers)Journal of Theoretical Biology (2 papers)BMC Bioinformatics (2 papers)Mathematical Biosciences (2 papers)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Bree Cummins
34 papers receiving 441 citations
Peers
Comparison fields: 5 of 88
- Modeling and Simulation 36
- Endocrine and Autonomic Systems 34
- Public Health, Environmental and Occupational Health 90
- Biophysics 17
- Molecular Biology 173
Countries citing papers authored by Bree Cummins
This map shows the geographic impact of Bree Cummins'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 Bree Cummins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bree Cummins more than expected).
Fields of papers citing papers by Bree Cummins
This network shows the impact of papers produced by Bree Cummins. 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 Bree Cummins. The network helps show where Bree Cummins may publish in the future.
Co-authors
The 25 scholars most cited alongside Bree Cummins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 67 | |
| 2 | 2012 | 58 | |
| 3 | 2007 | 46 | |
| 4 | 2015 | 38 | |
| 5 | 2016 | 35 | |
| 6 | 2020 | 30 | |
| 7 | 2010 | 27 | |
| 8 | 2018 | 22 | |
| 9 | 2018 | 15 | |
| 10 | 2017 | 12 | |
| 11 | 2022 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2012 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2023 | 5 |
About Bree Cummins
Bree Cummins is a scholar working on Molecular Biology, Genetics, Statistical and Nonlinear Physics, Ecology and Biological Psychiatry, having authored 37 papers that have together received 453 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (22 papers), Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Evolution and Genetic Dynamics (7 papers), CRISPR and Genetic Engineering (2 papers), Single-cell and spatial transcriptomics (2 papers), Animal Behavior and Reproduction (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Modeling and Simulation (36 citations), Endocrine and Autonomic Systems (34 citations), Public Health, Environmental and Occupational Health (90 citations), Biophysics (17 citations) and Molecular Biology (173 citations). Bree Cummins has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Tomáš Gedeon, Ricardo Cortez, Konstantin Mischaikow, James Mac Hyman, Isaac Klapper, Ivo Foppa, Ying Xin, Steven B. Haase, Karin Leiderman and Robert R. Nerem. Their work appears in journals such as SIAM Journal on Applied Dynamical Systems, PLoS Computational Biology, Journal of Theoretical Biology, BMC Bioinformatics and Mathematical Biosciences.
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.