Chase Cockrell
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Health Informatics top 10%
Papers in
-
- Receptor Mechanisms and Signaling 3
- Gut microbiota and health 2
-
- Sepsis Diagnosis and Treatment 5
- Co-authors
- Gary An (16 shared papers)Pieter Maris (2 shared papers)James P. Vary (2 shared papers)Paula T. Cooney (2 shared papers)Zhong Wei (2 shared papers)Eugene B. Chang (2 shared papers)Michael McIntosh (2 shared papers)Kristina Martinez (2 shared papers)
- Journals
- The Journal of Nutritional Biochemistry (2 papers)JCO Clinical Cancer Informatics (1 paper)PLoS Computational Biology (1 paper)Current Opinion in Systems Biology (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United States
In The Last Decade
Chase Cockrell
22 papers receiving 503 citations
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 53
- Health Informatics 12
- Biochemistry 35
- Nuclear and High Energy Physics 51
- Biological Psychiatry 8
Countries citing papers authored by Chase Cockrell
This map shows the geographic impact of Chase Cockrell'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 Chase Cockrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chase Cockrell more than expected).
Fields of papers citing papers by Chase Cockrell
This network shows the impact of papers produced by Chase Cockrell. 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 Chase Cockrell. The network helps show where Chase Cockrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Chase Cockrell, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 100 | |
| 2 | 2015 | 82 | |
| 3 | 2012 | 54 | |
| 4 | 2018 | 47 | |
| 5 | 2019 | 43 | |
| 6 | 2022 | 36 | |
| 7 | 2017 | 31 | |
| 8 | 2018 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2014 | 15 | |
| 11 | 2020 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2019 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2021 | 2 |
About Chase Cockrell
Chase Cockrell is a scholar working on Molecular Biology, Epidemiology, Surgery, Modeling and Simulation and Infectious Diseases, having authored 23 papers that have together received 513 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (5 papers), Mathematical Biology Tumor Growth (3 papers), Receptor Mechanisms and Signaling (3 papers), Gut microbiota and health (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Immune Response and Inflammation (2 papers), Advanced Control Systems Optimization (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Modeling and Simulation (53 citations), Health Informatics (12 citations), Biochemistry (35 citations), Nuclear and High Energy Physics (51 citations) and Biological Psychiatry (8 citations). Chase Cockrell has collaborated with scholars based in United States. Frequent co-authors include Gary An, Pieter Maris, James P. Vary, Paula T. Cooney, Zhong Wei, Eugene B. Chang, Michael McIntosh, Kristina Martinez, Wan Shen and Chia‐Chi Chuang. Their work appears in journals such as The Journal of Nutritional Biochemistry, JCO Clinical Cancer Informatics, PLoS Computational Biology, Current Opinion in Systems Biology and Frontiers in Immunology.
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.