Morgan Craig

1.8k total citations
50 papers, 785 citations indexed

About

Morgan Craig is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Morgan Craig has authored 50 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Infectious Diseases. Recurrent topics in Morgan Craig's work include SARS-CoV-2 and COVID-19 Research (10 papers), Mathematical Biology Tumor Growth (8 papers) and Virus-based gene therapy research (5 papers). Morgan Craig is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), Mathematical Biology Tumor Growth (8 papers) and Virus-based gene therapy research (5 papers). Morgan Craig collaborates with scholars based in Canada, United States and Australia. Morgan Craig's co-authors include Adrianne L. Jenner, Aaron Goldman, Michael C. Mackey, Luke P. Lee, Bumseok Namgung, Martin A. Nowak, Matthias Nahrendorf, Oriol Iborra‐Egea, Friedrich Felix Hoyer and Maximilian J. Schloss and has published in prestigious journals such as Cell, Chemical Reviews and Journal of the American Chemical Society.

In The Last Decade

Morgan Craig

45 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morgan Craig Canada 16 234 184 145 142 130 50 785
Arijit Chakravarty United States 17 691 3.0× 53 0.3× 36 0.2× 458 3.2× 54 0.4× 50 1.2k
Antje‐Christine Walz Switzerland 15 402 1.7× 59 0.3× 47 0.3× 349 2.5× 28 0.2× 34 892
Antonio Cappuccio France 14 340 1.5× 134 0.7× 30 0.2× 240 1.7× 51 0.4× 24 1.1k
Soha El Sheikh United Kingdom 14 298 1.3× 80 0.4× 14 0.1× 217 1.5× 48 0.4× 41 873
Carolyn R. Cho United States 11 301 1.3× 20 0.1× 69 0.5× 187 1.3× 31 0.2× 17 737
Kalet León Cuba 19 256 1.1× 61 0.3× 16 0.1× 242 1.7× 49 0.4× 59 887
Frederik W. van Delft United Kingdom 18 541 2.3× 36 0.2× 507 3.5× 343 2.4× 167 1.3× 31 1.4k
Julien Picot France 14 305 1.3× 11 0.1× 196 1.4× 63 0.4× 66 0.5× 21 1.0k
Adrianne L. Jenner Australia 13 172 0.7× 131 0.7× 7 0.0× 147 1.0× 183 1.4× 39 462
Maria Laura De Angelis Italy 18 509 2.2× 35 0.2× 17 0.1× 516 3.6× 33 0.3× 34 1.1k

Countries citing papers authored by Morgan Craig

Since Specialization
Citations

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

Fields of papers citing papers by Morgan Craig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morgan Craig

This figure shows the co-authorship network connecting the top 25 collaborators of Morgan Craig. A scholar is included among the top collaborators of Morgan Craig 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 Morgan Craig. Morgan Craig 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.
Brunet‐Ratnasingham, Elsa, Raphaël Poujol, Jean‐Christophe Grenier, et al.. (2024). Intra-Host Evolution Analyses in an Immunosuppressed Patient Supports SARS-CoV-2 Viral Reservoir Hypothesis. Viruses. 16(3). 342–342. 7 indexed citations
2.
Jenner, Adrianne L., et al.. (2024). Mathematical modelling of clonal reduction therapeutic strategies in acute myeloid leukemia. Leukemia Research. 140. 107485–107485. 1 indexed citations
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.
5.
Jenner, Adrianne L., Elham Karimi, Benoit Fiset, et al.. (2023). Agent-Based Modelling Reveals the Role of the Tumor Microenvironment on the Short-Term Success of Combination Temozolomide/Immune Checkpoint Blockade to Treat Glioblastoma. Journal of Pharmacology and Experimental Therapeutics. 387(1). 66–77. 7 indexed citations
6.
7.
Deng, Xiaoyan, Pierre Gantner, Amélie Pagliuzza, et al.. (2023). Plasma SARS‐CoV‐2 RNA elimination and RAGE kinetics distinguish COVID‐19 severity. Clinical & Translational Immunology. 12(11). e1468–e1468. 1 indexed citations
8.
Korosec, Chapin S., et al.. (2023). A mathematical model of protein subunits COVID-19 vaccines. Mathematical Biosciences. 358. 108970–108970. 7 indexed citations
9.
10.
Mapder, Tarunendu, T. J. Sego, James P. Sluka, et al.. (2022). Multiscale Model of Antiviral Timing, Potency, and Heterogeneity Effects on an Epithelial Tissue Patch Infected by SARS-CoV-2. Viruses. 14(3). 605–605. 13 indexed citations
11.
Huang, Jessie, Carmen Lía Murall, David Hamelin, et al.. (2022). Population Genomics Approaches for Genetic Characterization of SARS-CoV-2 Lineages. Frontiers in Medicine. 9. 826746–826746. 5 indexed citations
12.
Färkkilä, Anniina, Adrianne L. Jenner, Kyle Potts, et al.. (2021). Procaspase-Activating Compound-1 Synergizes with TRAIL to Induce Apoptosis in Established Granulosa Cell Tumor Cell Line (KGN) and Explanted Patient Granulosa Cell Tumor Cells In Vitro. International Journal of Molecular Sciences. 22(9). 4699–4699. 7 indexed citations
13.
Heyde, Alexander, David Rohde, Cameron S. McAlpine, et al.. (2021). Increased stem cell proliferation in atherosclerosis accelerates clonal hematopoiesis. Cell. 184(5). 1348–1361.e22. 162 indexed citations
14.
Jenner, Adrianne L., Rosemary A. Aogo, Xiaoyan Deng, et al.. (2021). COVID-19 virtual patient cohort suggests immune mechanisms driving disease outcomes. PLoS Pathogens. 17(7). e1009753–e1009753. 50 indexed citations
15.
16.
Jenner, Adrianne L., Rosemary A. Aogo, Courtney L. Davis, Amber M. Smith, & Morgan Craig. (2020). Leveraging Computational Modeling to Understand Infectious Diseases. Current Pathobiology Reports. 8(4). 149–161. 22 indexed citations
17.
Craig, Morgan, Kamran Kaveh, Alec N. Woosley, et al.. (2019). Cooperative adaptation to therapy (CAT) confers resistance in heterogeneous non-small cell lung cancer. PLoS Computational Biology. 15(8). e1007278–e1007278. 21 indexed citations
18.
Craig, Morgan, et al.. (2019). Determinants of combination GM-CSF immunotherapy and oncolytic virotherapy success identified through in silico treatment personalization. PLoS Computational Biology. 15(11). e1007495–e1007495. 39 indexed citations
19.
Craig, Morgan, et al.. (2018). Chaos synchronization and Nelder-Mead search for parameter estimation in nonlinear pharmacological systems: Estimating tumor antigenicity in a model of immunotherapy. Progress in Biophysics and Molecular Biology. 139. 23–30. 4 indexed citations
20.
Craig, Morgan, A. R. Humphries, Fahima Nekka, et al.. (2015). Neutrophil dynamics during concurrent chemotherapy and G-CSF administration: Mathematical modelling guides dose optimisation to minimise neutropenia. Journal of Theoretical Biology. 385. 77–89. 29 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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