James M. Greene

1.1k total citations
38 papers, 586 citations indexed

About

James M. Greene is a scholar working on Modeling and Simulation, Molecular Biology and Oncology. According to data from OpenAlex, James M. Greene has authored 38 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Modeling and Simulation, 9 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in James M. Greene's work include Mathematical Biology Tumor Growth (8 papers), Phenothiazines and Benzothiazines Synthesis and Activities (5 papers) and Cancer Genomics and Diagnostics (4 papers). James M. Greene is often cited by papers focused on Mathematical Biology Tumor Growth (8 papers), Phenothiazines and Benzothiazines Synthesis and Activities (5 papers) and Cancer Genomics and Diagnostics (4 papers). James M. Greene collaborates with scholars based in United States, Ireland and Pakistan. James M. Greene's co-authors include Eduardo D. Sontag, Michael M. Gottesman, Doron Levy, Orit Lavi, Jana L. Gevertz, Louis G. Jenis, Daniel T. Baran, Gerald G. Steinberg, Herbert A. Kirst and Jonathan W. Paschal and has published in prestigious journals such as PLoS ONE, Neurology and Cancer Research.

In The Last Decade

James M. Greene

35 papers receiving 558 citations

Peers

James M. Greene

ONCOL

SURGE

Jackie McDonald United States

Marı́a Teresa Valenzuela Spain

Shawn Garbett United States

Justin Goodwin United States

Aman Xu China

Jessica K. DeMartino United States

Tsutomu Kodera Japan

Kiran Vanaja United States

Ali Qazvini Iran

Jackie McDonald United States

James M. Greene

54 ×0.3

273 ×1.6

117 ×1.1

ONCOL

98 ×1.1

42 ×0.6

SURGE

Citations per year, relative to James M. Greene James M. Greene (= 1×) peers Jackie McDonald

Countries citing papers authored by James M. Greene

Since Specialization

Citations

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

Fields of papers citing papers by James M. Greene

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Greene. 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 James M. Greene. The network helps show where James M. Greene may publish in the future.

Co-authorship network of co-authors of James M. Greene

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

All Works

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20 of 20 papers shown

Gevertz, Jana L., et al.. (2025). Understanding therapeutic tolerance through a mathematical model of drug-induced resistance. npj Systems Biology and Applications. 11(1). 30–30. 1 indexed citations

Shi, Hang, et al.. (2024). Symptomatic Hypothalamic-Pituitary Involvement in Neurosarcoidosis Portends Poor Outcomes. Neurology. 103(7_Supplement_1).

Greene, James M., et al.. (2023). The application of hyperspectral core imaging for oil and gas. Geological Society London Special Publications. 527(1). 95–119. 6 indexed citations

Kumar, Vijay, et al.. (2023). Utilizing logistic regression to compare risk factors in disease modeling with imbalanced data: a case study in vitamin D and cancer incidence. Frontiers in Oncology. 13. 1227842–1227842. 2 indexed citations

Greene, James M., et al.. (2022). Modeling optimal reopening strategies for COVID-19 and its variants by keeping infections low and fixing testing capacity. PLoS ONE. 17(11). e0274407–e0274407. 2 indexed citations

Sadeghi, Mahdiar, James M. Greene, & Eduardo D. Sontag. (2021). Universal features of epidemic models under social distancing guidelines. Annual Reviews in Control. 51. 426–440. 24 indexed citations

Hennessy, Martina, et al.. (2021). 1619P Transition to a virtual cancer multidisciplinary team meeting during the COVID-19 pandemic: Experience from a regional Irish Cancer Centre. Annals of Oncology. 32. S1152–S1152. 1 indexed citations

Greene, James M., et al.. (2020). Mathematical Details on a Cancer Resistance Model. Frontiers in Bioengineering and Biotechnology. 8. 501–501. 19 indexed citations

Greene, James M., et al.. (2020). The Connected Pore Space Paradigm: An Evaluation of the Effect of Crushing on Pore Volume and Structure. Proceedings of the 8th Unconventional Resources Technology Conference. 1 indexed citations

10.

Gevertz, Jana L., et al.. (2020). A novel COVID-19 epidemiological model with explicit susceptible and asymptomatic isolation compartments reveals unexpected consequences of timing social distancing. Journal of Theoretical Biology. 510. 110539–110539. 46 indexed citations

11.

Greene, James M., Jana L. Gevertz, & Eduardo D. Sontag. (2019). Mathematical Approach to Differentiate Spontaneous and Induced Evolution to Drug Resistance During Cancer Treatment. JCO Clinical Cancer Informatics. 3(3). 1–20. 49 indexed citations

12.

Greene, James M., et al.. (2016). Mathematical Modeling Reveals That Changes to Local Cell Density Dynamically Modulate Baseline Variations in Cell Growth and Drug Response. Cancer Research. 76(10). 2882–2890. 19 indexed citations

13.

Lavi, Orit, James M. Greene, Doron Levy, & Michael M. Gottesman. (2014). Simplifying the complexity of resistance heterogeneity in metastasis. Trends in Molecular Medicine. 20(3). 129–136. 16 indexed citations

14.

Greene, James M., Orit Lavi, Michael M. Gottesman, & Doron Levy. (2014). The Impact of Cell Density and Mutations in a Model of Multidrug Resistance in Solid Tumors. Bulletin of Mathematical Biology. 76(3). 627–653. 31 indexed citations

15.

Lavi, Orit, James M. Greene, Doron Levy, & Michael M. Gottesman. (2013). The Role of Cell Density and Intratumoral Heterogeneity in Multidrug Resistance. Cancer Research. 73(24). 7168–7175. 48 indexed citations

16.

Ness, Reid M., Ann Holmes, Robert J. Klein, James M. Greene, & Robert S. Dittus. (1998). Outcome States of Colorectal Cancer: Identification and Description Using Patient Focus Groups. The American Journal of Gastroenterology. 93(9). 1491–1497. 25 indexed citations

17.

İkizler, T. Alp, et al.. (1994). Effects of progression of chronic renal failure on spontaneous dietary protein intake in CRF patients. Journal of the American Society of Nephrology. 5(3). 332. 3 indexed citations

18.

COUNTER, F. T., P. W. Ensminger, David A. Preston, et al.. (1991). Synthesis and antimicrobial evaluation of dirithromycin (AS-E 136; LY237216), a new macrolide antibiotic derived from erythromycin. Antimicrobial Agents and Chemotherapy. 35(6). 1116–1126. 45 indexed citations

19.

Kirst, Herbert A., Manuel Debono, Rosanne Bonjouklian, et al.. (1990). Synthesis and structure-activity relationships of new 9-N-alkyl derivatives of 9(S)-erythromycylamine. Journal of Medicinal Chemistry. 33(11). 3086–3094. 17 indexed citations

20.

Barraclough, M. A., M Joy, Graham A. MacGregor, et al.. (1973). Control of Moderately Raised Blood Pressure: REPORT OF A CO-OPERATIVE RANDOMIZED TRIAL. BMJ. 3(5877). 434–436. 37 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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