Kevin Leder

1.5k total citations
45 papers, 973 citations indexed

About

Kevin Leder is a scholar working on Modeling and Simulation, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kevin Leder has authored 45 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Modeling and Simulation, 17 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kevin Leder's work include Mathematical Biology Tumor Growth (18 papers), Cancer Genomics and Diagnostics (17 papers) and Probability and Risk Models (9 papers). Kevin Leder is often cited by papers focused on Mathematical Biology Tumor Growth (18 papers), Cancer Genomics and Diagnostics (17 papers) and Probability and Risk Models (9 papers). Kevin Leder collaborates with scholars based in United States, Iceland and Japan. Kevin Leder's co-authors include Jasmine Foo, Franziska Michor, Eric C. Holland, Kenneth L. Pitter, Paul Dupuis, Quincey LaPlant, Timothy A. Chan, Brian D. Ross, Dolores Hambardzumyan and Hui Wang and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kevin Leder

45 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Leder United States	17	355	333	327	258	136	45	973
Giulio Caravagna Italy	15	397 1.1×	160 0.5×	582 1.8×	133 0.5×	64 0.5×	64	933
Sébastien Benzekry France	19	322 0.9×	533 1.6×	349 1.1×	545 2.1×	195 1.4×	57	1.3k
Jessica J. Cunningham United States	15	576 1.6×	428 1.3×	419 1.3×	227 0.9×	188 1.4×	31	1.1k
Mark Robertson‐Tessi United States	21	464 1.3×	469 1.4×	588 1.8×	452 1.8×	108 0.8×	35	1.3k
Michael J. Wick United States	25	325 0.9×	47 0.1×	1.2k 3.8×	915 3.5×	218 1.6×	67	2.4k
Amanda Tracz United States	10	182 0.5×	222 0.7×	283 0.9×	227 0.9×	116 0.9×	14	679
Ariosto S. Silva United States	12	526 1.5×	339 1.0×	479 1.5×	303 1.2×	108 0.8×	21	1.1k
Mary E. Edgerton United States	21	781 2.2×	227 0.7×	1.3k 4.1×	812 3.1×	354 2.6×	46	2.4k
Hiroshi Haeno Japan	13	310 0.9×	142 0.4×	447 1.4×	468 1.8×	152 1.1×	29	1.0k

Countries citing papers authored by Kevin Leder

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Leder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Leder. 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 Kevin Leder. The network helps show where Kevin Leder may publish in the future.

Co-authorship network of co-authors of Kevin Leder

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Leder. A scholar is included among the top collaborators of Kevin Leder 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 Kevin Leder. Kevin Leder 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

Lou, Emil, et al.. (2025). Early Circulating Tumor DNA Kinetics as a Dynamic Biomarker of Cancer Treatment Response. JCO Clinical Cancer Informatics. 9(9). e2400160–e2400160. 1 indexed citations

Foo, Jasmine, et al.. (2025). A statistical framework for detecting therapy-induced resistance from drug screens. npj Systems Biology and Applications. 11(1). 88–88. 1 indexed citations

Leder, Kevin, et al.. (2025). Limit theorems for the site frequency spectrum of neutral mutations in an exponentially growing population. Stochastic Processes and their Applications. 182. 104565–104565. 1 indexed citations

Leder, Kevin, et al.. (2024). Parameter estimation from single patient, single time-point sequencing data of recurrent tumors. Journal of Mathematical Biology. 89(5). 51–51. 2 indexed citations

Foo, Jasmine, et al.. (2023). Spread of premalignant mutant clones and cancer initiation in multilayered tissue. The Annals of Applied Probability. 33(1). 1 indexed citations

Foo, Jasmine, et al.. (2023). Dynamics of Advantageous Mutant Spread in Spatial Death-Birth and Birth-Death Moran Models. Communications on Applied Mathematics and Computation. 6(1). 576–604. 1 indexed citations

De, Subhajyoti, et al.. (2020). Understanding the role of phenotypic switching in cancer drug resistance. Journal of Theoretical Biology. 490. 110162–110162. 41 indexed citations

Zhu, Junfeng, et al.. (2018). A Robust Optimization Approach to Cancer Treatment under Toxicity Uncertainty. Methods in molecular biology. 1711. 297–331. 1 indexed citations

Ryser, Marc D., Walter T. Lee, Neal Ready, Kevin Leder, & Jasmine Foo. (2016). Quantifying the Dynamics of Field Cancerization in Tobacco-Related Head and Neck Cancer: A Multiscale Modeling Approach. Cancer Research. 76(24). 7078–7088. 22 indexed citations

10.

Leder, Kevin, et al.. (2016). Optimal treatment and stochastic modeling of heterogeneous tumors. Biology Direct. 11(1). 40–40. 7 indexed citations

11.

He, Qie, Junfeng Zhu, David Dingli, Jasmine Foo, & Kevin Leder. (2016). Optimized Treatment Schedules for Chronic Myeloid Leukemia. PLoS Computational Biology. 12(10). e1005129–e1005129. 11 indexed citations

12.

Mumenthaler, Shannon M., Jasmine Foo, Kevin Leder, et al.. (2015). The Impact of Microenvironmental Heterogeneity on the Evolution of Drug Resistance in Cancer Cells. SHILAP Revista de lepidopterología. 7 indexed citations

13.

Foo, Jasmine, Lin Liu, Kevin Leder, et al.. (2015). An Evolutionary Approach for Identifying Driver Mutations in Colorectal Cancer. PLoS Computational Biology. 11(9). e1004350–e1004350. 24 indexed citations

14.

Pitter, Kenneth L., et al.. (2015). Optimization of radiation dosing schedules for proneural glioblastoma. Journal of Mathematical Biology. 72(5). 1301–1336. 26 indexed citations

15.

Foo, Jasmine, Kevin Leder, & Junfeng Zhu. (2014). Escape times for branching processes with random mutational fitness effects. Stochastic Processes and their Applications. 124(11). 3661–3697. 10 indexed citations

16.

Foo, Jasmine, Kevin Leder, & Marc D. Ryser. (2014). Multifocality and recurrence risk: A quantitative model of field cancerization. Journal of Theoretical Biology. 355. 170–184. 22 indexed citations

17.

Leder, Kevin, Kenneth L. Pitter, Quincey LaPlant, et al.. (2014). Mathematical Modeling of PDGF-Driven Glioblastoma Reveals Optimized Radiation Dosing Schedules. Cell. 156(3). 603–616. 193 indexed citations

18.

Leder, Kevin, et al.. (2013). Minimizing Metastatic Risk in Radiotherapy Fractionation Schedules. 5 indexed citations

19.

Foo, Jasmine & Kevin Leder. (2012). Rare events in cancer recurrence timing. Winter Simulation Conference. 1–10. 1 indexed citations

20.

Leder, Kevin, Eric C. Holland, & Franziska Michor. (2010). The Therapeutic Implications of Plasticity of the Cancer Stem Cell Phenotype. PLoS ONE. 5(12). e14366–e14366. 44 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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