Mark Robertson‐Tessi

2.6k total citations
35 papers, 1.3k citations indexed

About

Mark Robertson‐Tessi is a scholar working on Modeling and Simulation, Cancer Research and Molecular Biology. According to data from OpenAlex, Mark Robertson‐Tessi has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Modeling and Simulation, 16 papers in Cancer Research and 14 papers in Molecular Biology. Recurrent topics in Mark Robertson‐Tessi's work include Mathematical Biology Tumor Growth (16 papers), Cancer Genomics and Diagnostics (13 papers) and Gene Regulatory Network Analysis (7 papers). Mark Robertson‐Tessi is often cited by papers focused on Mathematical Biology Tumor Growth (16 papers), Cancer Genomics and Diagnostics (13 papers) and Gene Regulatory Network Analysis (7 papers). Mark Robertson‐Tessi collaborates with scholars based in United States, United Kingdom and Ireland. Mark Robertson‐Tessi's co-authors include Alexander R.A. Anderson, Robert A. Gatenby, Robert J. Gillies, Alain Goriely, Ardith W. El-Kareh, Jeffrey West, Kimberly A. Luddy, Chandler Gatenbee, Ryan O. Schenck and Jill Gallaher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Mark Robertson‐Tessi

34 papers receiving 1.3k citations

Peers

Mark Robertson‐Tessi

ONCOL

IMMUN

Sébastien Benzekry France

Ariosto S. Silva United States

Benjamin Ribba France

Irina Kareva United States

Jessica J. Cunningham United States

Dominique Barbolosi France

Darren R. Tyson United States

Kevin Leder United States

Mary E. Edgerton United States

Danielle L. Peacock United States

Sébastien Benzekry France

Mark Robertson‐Tessi

349 ×0.6

533 ×1.1

322 ×0.7

545 ×1.2

ONCOL

144 ×0.5

IMMUN

Citations per year, relative to Mark Robertson‐Tessi Mark Robertson‐Tessi (= 1×) peers Sébastien Benzekry

Countries citing papers authored by Mark Robertson‐Tessi

Since Specialization

Citations

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

Fields of papers citing papers by Mark Robertson‐Tessi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Robertson‐Tessi. 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 Mark Robertson‐Tessi. The network helps show where Mark Robertson‐Tessi may publish in the future.

Co-authorship network of co-authors of Mark Robertson‐Tessi

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Robertson‐Tessi. A scholar is included among the top collaborators of Mark Robertson‐Tessi 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 Mark Robertson‐Tessi. Mark Robertson‐Tessi 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

Robertson‐Tessi, Mark, Chandler Gatenbee, Jeffrey West, et al.. (2025). Mathematical Oncology: How Modeling Is Transforming Clinical Decision-Making. Cancer Research. 85(24). 4866–4879. 1 indexed citations

Strobl, Maximilian, Alexandra Martin, Jeffrey West, et al.. (2024). To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy. Cell Systems. 15(6). 510–525.e6. 7 indexed citations

Gatenbee, Chandler, Ann‐Marie Baker, Sandhya Prabhakaran, et al.. (2023). Virtual alignment of pathology image series for multi-gigapixel whole slide images. Nature Communications. 14(1). 4502–4502. 32 indexed citations

Gallaher, Jill, Maximilian Strobl, Jeffrey West, et al.. (2023). Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics. Cancer Research. 83(16). 2775–2789. 6 indexed citations

Gatenbee, Chandler, Ann‐Marie Baker, Ryan O. Schenck, et al.. (2022). Immunosuppressive niche engineering at the onset of human colorectal cancer. Nature Communications. 13(1). 1798–1798. 29 indexed citations

Schenck, Ryan O., Daniel J. Weisenberger, Christopher Kimberley, et al.. (2022). Fluctuating methylation clocks for cell lineage tracing at high temporal resolution in human tissues. Nature Biotechnology. 40(5). 720–730. 27 indexed citations

Prabhakaran, Sandhya, Chandler Gatenbee, Mark Robertson‐Tessi, et al.. (2022). Mistic: An open-source multiplexed image t-SNE viewer. Patterns. 3(7). 100523–100523.

West, Jeffrey, Mark Robertson‐Tessi, & Alexander R.A. Anderson. (2022). Agent-based methods facilitate integrative science in cancer. Trends in Cell Biology. 33(4). 300–311. 36 indexed citations

Damaghi, Mehdi, Jeffrey West, Mark Robertson‐Tessi, et al.. (2021). The harsh microenvironment in early breast cancer selects for a Warburg phenotype. Proceedings of the National Academy of Sciences. 118(3). 91 indexed citations

10.

Luddy, Kimberly A., et al.. (2020). Searching for Goldilocks: How Evolution and Ecology Can Help Uncover More Effective Patient-Specific Chemotherapies. Cancer Research. 80(23). 5147–5154. 9 indexed citations

11.

Lakatos, Eszter, Marc Williams, Ryan O. Schenck, et al.. (2020). Evolutionary dynamics of neoantigens in growing tumors. Nature Genetics. 52(10). 1057–1066. 60 indexed citations

12.

Bravo, Rafael, Jeffrey West, Ryan O. Schenck, et al.. (2020). Hybrid Automata Library: A flexible platform for hybrid modeling with real-time visualization. PLoS Computational Biology. 16(3). e1007635–e1007635. 50 indexed citations

13.

Robertson‐Tessi, Mark, Kimberly A. Luddy, Philip K. Maini, et al.. (2019). The Goldilocks Window of Personalized Chemotherapy: Getting the Immune Response Just Right. Cancer Research. 79(20). 5302–5315. 27 indexed citations

14.

West, Jeffrey, Mark Robertson‐Tessi, Kimberly A. Luddy, et al.. (2019). The Immune Checkpoint Kick Start: Optimization of Neoadjuvant Combination Therapy Using Game Theory. JCO Clinical Cancer Informatics. 3(3). 1–12. 18 indexed citations

15.

Ibrahim‐Hashim, Arig, Mark Robertson‐Tessi, Pedro M. Enríquez‐Navas, et al.. (2017). Defining Cancer Subpopulations by Adaptive Strategies Rather Than Molecular Properties Provides Novel Insights into Intratumoral Evolution. Cancer Research. 77(9). 2242–2254. 89 indexed citations

16.

Robertson‐Tessi, Mark, et al.. (2017). Systematic Screening of Chemokines to Identify Candidates to Model and Create Ectopic Lymph Node Structures for Cancer Immunotherapy. Scientific Reports. 7(1). 15996–15996. 24 indexed citations

17.

Nichol, Daniel, Mark Robertson‐Tessi, Peter Jeavons, & Alexander R.A. Anderson. (2016). Stochasticity in the Genotype-Phenotype Map: Implications for the Robustness and Persistence of Bet-Hedging. Genetics. 204(4). 1523–1539. 32 indexed citations

18.

Poleszczuk, Jan, Kimberly A. Luddy, Mark Robertson‐Tessi, et al.. (2016). Abscopal Benefits of Localized Radiotherapy Depend on Activated T-cell Trafficking and Distribution between Metastatic Lesions. Cancer Research. 76(5). 1009–1018. 92 indexed citations

19.

Robertson‐Tessi, Mark, Robert J. Gillies, Robert A. Gatenby, & Alexander R.A. Anderson. (2015). Impact of Metabolic Heterogeneity on Tumor Growth, Invasion, and Treatment Outcomes. Cancer Research. 75(8). 1567–1579. 211 indexed citations

20.

Robertson‐Tessi, Mark, Ardith W. El-Kareh, & Alain Goriely. (2015). A model for effects of adaptive immunity on tumor response to chemotherapy and chemoimmunotherapy. Journal of Theoretical Biology. 380. 569–584. 22 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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