Chase Cockrell

815 total citations
21 papers, 473 citations indexed

About

Chase Cockrell is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Chase Cockrell has authored 21 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Chase Cockrell's work include Sepsis Diagnosis and Treatment (4 papers), Mathematical Biology Tumor Growth (3 papers) and Influenza Virus Research Studies (2 papers). Chase Cockrell is often cited by papers focused on Sepsis Diagnosis and Treatment (4 papers), Mathematical Biology Tumor Growth (3 papers) and Influenza Virus Research Studies (2 papers). Chase Cockrell collaborates with scholars based in United States. Chase Cockrell's co-authors include Gary An, James P. Vary, Pieter Maris, Kristina Martinez, Zhong Wei, Chia‐Chi Chuang, Wan Shen, Michael McIntosh, Eugene B. Chang and Paula T. Cooney and has published in prestigious journals such as SHILAP Revista de lepidopterología, Critical Care Medicine and Frontiers in Immunology.

In The Last Decade

Chase Cockrell

20 papers receiving 464 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chase Cockrell United States 11 211 85 62 51 50 21 473
Yanyan Li China 11 107 0.5× 40 0.5× 61 1.0× 5 0.1× 5 0.1× 37 589
M. Maggiora Italy 13 221 1.0× 47 0.6× 31 0.5× 82 1.6× 1 0.0× 37 542
Jiayu Shen China 6 479 2.3× 35 0.4× 60 1.0× 35 0.7× 27 1.3k
T Mitsui Japan 13 175 0.8× 27 0.3× 104 1.7× 3 0.1× 5 0.1× 68 841
Wangyi Liu China 16 335 1.6× 13 0.2× 24 0.4× 6 0.1× 3 0.1× 72 823
Safaa A. Ibrahim Egypt 18 206 1.0× 7 0.1× 61 1.0× 2 0.0× 130 2.6× 55 861
Rati Sharma India 12 154 0.7× 18 0.2× 58 0.9× 15 0.3× 40 428
Li-Ching Chen Taiwan 14 256 1.2× 22 0.3× 63 1.0× 5 0.1× 48 727
Dingfeng Wu China 18 653 3.1× 69 0.8× 157 2.5× 12 0.2× 54 1.0k
Huling Li China 13 89 0.4× 45 0.5× 49 0.8× 112 2.2× 26 370

Countries citing papers authored by Chase Cockrell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chase Cockrell

This figure shows the co-authorship network connecting the top 25 collaborators of Chase Cockrell. A scholar is included among the top collaborators of Chase Cockrell 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 Chase Cockrell. Chase Cockrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
An, Gary & Chase Cockrell. (2023). Generating synthetic multidimensional molecular time series data for machine learning: considerations. SHILAP Revista de lepidopterología. 3. 1188009–1188009. 6 indexed citations
2.
Cockrell, Chase & David Axelrod. (2022). Combination Chemotherapy of Multidrug-resistant Early-stage Colon Cancer: Determining Optimal Dose Schedules by High-performance Computer Simulation. Cancer Research Communications. 3(1). 21–30. 3 indexed citations
3.
Crum, Raphael J., Scott A. Johnson, Peng Jiang, et al.. (2022). Transcriptomic, Proteomic, and Morphologic Characterization of Healing in Volumetric Muscle Loss. Tissue Engineering Part A. 28(23-24). 941–957. 8 indexed citations
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Cockrell, Chase, et al.. (2020). Prevention of Colon Cancer Recurrence From Minimal Residual Disease: Computer Optimized Dose Schedules of Intermittent Apoptotic Adjuvant Therapy. JCO Clinical Cancer Informatics. 4(4). 514–520. 5 indexed citations
10.
Cockrell, Chase & David Axelrod. (2019). Optimization of Dose Schedules for Chemotherapy of Early Colon Cancer Determined by High-Performance Computer Simulations. Cancer Informatics. 18. 2410569108–2410569108. 9 indexed citations
11.
Petersen, Brenden K., Jiachen Yang, Will Grathwohl, et al.. (2019). Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine. Journal of Computational Biology. 26(6). 597–604. 34 indexed citations
12.
Ozik, Jonathan, Nicholson Collier, Justin M. Wozniak, et al.. (2018). High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow. BMC Bioinformatics. 19(S18). 483–483. 44 indexed citations
13.
Day, Judy, Chase Cockrell, Rami A. Namas, et al.. (2018). Inflammation and disease: Modelling and modulation of the inflammatory response to alleviate critical illness. Current Opinion in Systems Biology. 12. 22–29. 14 indexed citations
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Collins, Brian, Jessie B. Hoffman, Kristina Martinez, et al.. (2016). A polyphenol-rich fraction obtained from table grapes decreases adiposity, insulin resistance and markers of inflammation and impacts gut microbiota in high-fat-fed mice. The Journal of Nutritional Biochemistry. 31. 150–165. 95 indexed citations
16.
Baldwin, Jessie R., Brian Collins, Patricia G. Wolf, et al.. (2015). Table grape consumption reduces adiposity and markers of hepatic lipogenesis and alters gut microbiota in butter fat-fed mice. The Journal of Nutritional Biochemistry. 27. 123–135. 81 indexed citations
17.
Christley, Scott, Chase Cockrell, & Gary An. (2015). Computational Studies of the Intestinal Host-Microbiota Interactome. Computation. 3(1). 2–28. 7 indexed citations
18.
An, Gary & Chase Cockrell. (2015). 1081. Critical Care Medicine. 43. 272–272.
19.
Cockrell, Chase, Scott Christley, & Gary An. (2014). Investigation of Inflammation and Tissue Patterning in the Gut Using a Spatially Explicit General-Purpose Model of Enteric Tissue (SEGMEnT). PLoS Computational Biology. 10(3). e1003507–e1003507. 14 indexed citations
20.
Liu, Fang, et al.. (2011). A data management system for ab-initio nuclear physics applications. IEEE International Conference on High Performance Computing, Data, and Analytics. 40–47. 1 indexed citations

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.

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