Stacey D. Finley

2.6k total citations
68 papers, 1.6k citations indexed

About

Stacey D. Finley is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Stacey D. Finley has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 26 papers in Oncology and 17 papers in Immunology. Recurrent topics in Stacey D. Finley's work include Angiogenesis and VEGF in Cancer (22 papers), Mathematical Biology Tumor Growth (15 papers) and Immune Cell Function and Interaction (12 papers). Stacey D. Finley is often cited by papers focused on Angiogenesis and VEGF in Cancer (22 papers), Mathematical Biology Tumor Growth (15 papers) and Immune Cell Function and Interaction (12 papers). Stacey D. Finley collaborates with scholars based in United States, Switzerland and Australia. Stacey D. Finley's co-authors include Aleksander S. Popel, Gregory L. Szeto, Linda J. Broadbelt, Vassily Hatzimanikatis, Min Song, Mahua Roy, Jennifer A. Rohrs, Feilim Mac Gabhann, Qianhui Wu and Pin Wang and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Stacey D. Finley

64 papers receiving 1.5k citations

Peers

Stacey D. Finley
Kewei Ma China
Jing Su United States
Jiayi Zhang China
Wiebke Schormann Germany
Jiatao Liu China
Yousof Gheisari Iran
Marc Brulport Germany
Tingting Huang China
Kewei Ma China
Stacey D. Finley
Citations per year, relative to Stacey D. Finley Stacey D. Finley (= 1×) peers Kewei Ma

Countries citing papers authored by Stacey D. Finley

Since Specialization
Citations

This map shows the geographic impact of Stacey D. Finley'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 Stacey D. Finley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stacey D. Finley more than expected).

Fields of papers citing papers by Stacey D. Finley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stacey D. Finley. 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 Stacey D. Finley. The network helps show where Stacey D. Finley may publish in the future.

Co-authorship network of co-authors of Stacey D. Finley

This figure shows the co-authorship network connecting the top 25 collaborators of Stacey D. Finley. A scholar is included among the top collaborators of Stacey D. Finley 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 Stacey D. Finley. Stacey D. Finley 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.
Nogalska, Anna, Samir Akre, Charles Bramlett, et al.. (2024). Age-associated imbalance in immune cell regeneration varies across individuals and arises from a distinct subset of stem cells. Cellular and Molecular Immunology. 21(12). 1459–1473. 5 indexed citations
2.
Finley, Stacey D., et al.. (2024). Modeling the heterogeneous apoptotic response of caspase-mediated signaling in tumor cells. Journal of Theoretical Biology. 590. 111857–111857.
3.
Finley, Stacey D., et al.. (2024). Integrating Diversity, Equity, and Inclusion into Preclinical, Clinical, and Public Health Mathematical Models. Bulletin of Mathematical Biology. 86(5). 56–56.
4.
Sharma, Rajnikant, Stacey D. Finley, Phillip J. Bergen, et al.. (2023). Proof‐of‐concept for incorporating mechanistic insights from multi‐omics analyses of polymyxin B in combination with chloramphenicol against Klebsiella pneumoniae. CPT Pharmacometrics & Systems Pharmacology. 12(3). 387–400. 3 indexed citations
5.
Finley, Stacey D., et al.. (2023). A systems and computational biology perspective on advancing CAR therapy. Seminars in Cancer Biology. 94. 34–49. 3 indexed citations
6.
Finley, Stacey D., et al.. (2023). Genome-scale modeling predicts metabolic differences between macrophage subtypes in colorectal cancer. iScience. 26(9). 107569–107569. 6 indexed citations
7.
Finley, Stacey D., et al.. (2023). Calibrating agent-based models to tumor images using representation learning. PLoS Computational Biology. 19(4). e1011070–e1011070. 14 indexed citations
8.
Peyton, Shelly R., Lesley W. Chow, Stacey D. Finley, et al.. (2023). Synthetic living materials in cancer biology. Nature Reviews Bioengineering. 1(12). 972–988. 12 indexed citations
9.
Finley, Stacey D., et al.. (2023). A data-driven Boolean model explains memory subsets and evolution in CD8+ T cell exhaustion. npj Systems Biology and Applications. 9(1). 36–36. 2 indexed citations
10.
Georgia, Senta, et al.. (2022). Phosphatases are predicted to govern prolactin-mediated JAK–STAT signaling in pancreatic beta cells. Integrative Biology. 14(2). 37–48. 2 indexed citations
11.
Way, Gregory P., Casey S. Greene, Piero Carninci, et al.. (2021). A field guide to cultivating computational biology. PLoS Biology. 19(10). e3001419–e3001419. 11 indexed citations
12.
Akkari, Leila, Stacey D. Finley, Ping‐Chih Ho, et al.. (2021). Challenges and opportunities in 2021. Nature Cancer. 2(12). 1278–1283. 1 indexed citations
13.
Finley, Stacey D., et al.. (2020). Enhancing network activation in natural killer cells: predictions from in silico modeling. Integrative Biology. 12(5). 109–121. 13 indexed citations
14.
Finley, Stacey D., et al.. (2020). Multi-scale modeling of macrophage—T cell interactions within the tumor microenvironment. PLoS Computational Biology. 16(12). e1008519–e1008519. 50 indexed citations
15.
Finley, Stacey D., et al.. (2019). Data-driven analysis of a mechanistic model of CAR T cell signaling predicts effects of cell-to-cell heterogeneity. Journal of Theoretical Biology. 489. 110125–110125. 26 indexed citations
16.
Roy, Mahua & Stacey D. Finley. (2019). Metabolic reprogramming dynamics in tumor spheroids: Insights from a multicellular, multiscale model. PLoS Computational Biology. 15(6). e1007053–e1007053. 27 indexed citations
17.
Wu, Qianhui, et al.. (2018). In silico mouse study identifies tumour growth kinetics as biomarkers for the outcome of anti-angiogenic treatment. Journal of The Royal Society Interface. 15(145). 20180243–20180243. 6 indexed citations
18.
Rohrs, Jennifer A., et al.. (2018). Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics. Biophysical Journal. 115(6). 1116–1129. 37 indexed citations
19.
Wu, Qianhui, et al.. (2017). Mechanistic modeling quantifies the influence of tumor growth kinetics on the response to anti-angiogenic treatment. PLoS Computational Biology. 13(12). e1005874–e1005874. 17 indexed citations
20.
Finley, Stacey D. & Aleksander S. Popel. (2012). Predicting the Effects of Anti-angiogenic Agents Targeting Specific VEGF Isoforms. The AAPS Journal. 14(3). 500–509. 48 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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