T. J. Sego

506 total citations
19 papers, 267 citations indexed

About

T. J. Sego is a scholar working on Molecular Biology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, T. J. Sego has authored 19 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Modeling and Simulation and 5 papers in Infectious Diseases. Recurrent topics in T. J. Sego's work include Gene Regulatory Network Analysis (5 papers), Influenza Virus Research Studies (4 papers) and Mathematical Biology Tumor Growth (4 papers). T. J. Sego is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Influenza Virus Research Studies (4 papers) and Mathematical Biology Tumor Growth (4 papers). T. J. Sego collaborates with scholars based in United States, Australia and France. T. J. Sego's co-authors include James A. Glazier, Gary An, Andrés Tovar, Bruce E. Shapiro, Adam Knapp, Anna Niarakis, Reinhard Laubenbacher, Rahuman S. Malik‐Sheriff, Tomáš Helikar and Paul Macklin and has published in prestigious journals such as Bioinformatics, Scientific Reports and Biotechnology and Bioengineering.

In The Last Decade

T. J. Sego

18 papers receiving 262 citations

Peers

T. J. Sego

EPIDE

Cheng Xiao China

Ayeda A. Ahmed Qatar

Michael Ly United States

Zhixiao Chen China

Yariv Greenshpan Israel

Anna Menegaldo Italy

Aner Ottolenghi Israel

Jesse Chen United States

Khaled Abdel Ghaffar Egypt

Raúl Peralta Mexico

Cheng Xiao China

T. J. Sego

13 ×0.2

76 ×1.1

44 ×0.7

36 ×0.6

22 ×0.6

EPIDE

Citations per year, relative to T. J. Sego T. J. Sego (= 1×) peers Cheng Xiao

Countries citing papers authored by T. J. Sego

Since Specialization

Citations

This map shows the geographic impact of T. J. Sego'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 T. J. Sego with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Sego more than expected).

Fields of papers citing papers by T. J. Sego

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. J. Sego. 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 T. J. Sego. The network helps show where T. J. Sego may publish in the future.

Co-authorship network of co-authors of T. J. Sego

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

All Works

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19 of 19 papers shown

Sego, T. J.. (2024). SimService: a lightweight library for building simulation services in Python. Bioinformatics. 40(1).

Dzamba, Bette J., David Shook, T. J. Sego, et al.. (2024). Modeling the roles of cohesotaxis, cell-intercalation, and tissue geometry in collective cell migration of Xenopus mesendoderm. Biology Open. 13(8). 1 indexed citations

Sego, T. J., James P. Sluka, Herbert M. Sauro, & James A. Glazier. (2023). Tissue Forge: Interactive biological and biophysics simulation environment. PLoS Computational Biology. 19(10). e1010768–e1010768. 8 indexed citations

Sego, T. J., et al.. (2023). General, open-source vertex modeling in biological applications using Tissue Forge. Scientific Reports. 13(1). 17886–17886. 5 indexed citations

Sego, T. J., et al.. (2023). Mathematical Modeling of the Lethal Synergism of Coinfecting Pathogens in Respiratory Viral Infections: A Review. Microorganisms. 11(12). 2974–2974. 6 indexed citations

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

Sego, T. J., et al.. (2022). Age-Related Changes to the Immune System Exacerbate the Inflammatory Response to Pandemic H1N1 Infection. Bulletin of Mathematical Biology. 84(8). 88–88. 1 indexed citations

Laubenbacher, Reinhard, Anna Niarakis, Tomáš Helikar, et al.. (2022). Building digital twins of the human immune system: toward a roadmap. npj Digital Medicine. 5(1). 64–64. 87 indexed citations

Sego, T. J., et al.. (2021). Multicellular spatial model of RNA virus replication and interferon responses reveals factors controlling plaque growth dynamics. PLoS Computational Biology. 17(10). e1008874–e1008874. 11 indexed citations

10.

Zarnitsyna, Veronika I., et al.. (2021). Advancing therapies for viral infections using mechanistic computational models of the dynamic interplay between the virus and host immune response. Current Opinion in Virology. 50. 103–109. 8 indexed citations

11.

Sego, T. J., et al.. (2021). Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection. BMC Biology. 19(1). 196–196. 10 indexed citations

12.

Sego, T. J., et al.. (2021). Compartmental Model Suggests Importance of Innate Immune Response to COVID-19 Infection in Rhesus Macaques. Bulletin of Mathematical Biology. 83(7). 79–79. 10 indexed citations

13.

Sego, T. J., et al.. (2021). A multiscale multicellular spatiotemporal model of local influenza infection and immune response. Journal of Theoretical Biology. 532. 110918–110918. 9 indexed citations

14.

Sego, T. J., Yung‐Ting Hsu, Tien‐Min Gabriel Chu, & Andrés Tovar. (2020). Modeling Progressive Damage Accumulation in Bone Remodeling Explains the Thermodynamic Basis of Bone Resorption by Overloading. Bulletin of Mathematical Biology. 82(10). 134–134. 2 indexed citations

15.

Sego, T. J., Lutz Brusch, James M. Osborne, et al.. (2020). A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness. PLoS Computational Biology. 16(12). e1008451–e1008451. 49 indexed citations

16.

Sego, T. J., James A. Glazier, & Andrés Tovar. (2020). Unification of aggregate growth models by emergence from cellular and intracellular mechanisms. Royal Society Open Science. 7(8). 192148–192148. 3 indexed citations

17.

Sego, T. J., Matthew Prideaux, Brian P. McCarthy, et al.. (2019). Computational fluid dynamic analysis of bioprinted self‐supporting perfused tissue models. Biotechnology and Bioengineering. 117(3). 798–815. 16 indexed citations

18.

Sego, T. J., et al.. (2017). A heuristic computational model of basic cellular processes and oxygenation during spheroid-dependent biofabrication. Biofabrication. 9(2). 24104–24104. 27 indexed citations

19.

Sego, T. J., Yung‐Ting Hsu, Tien‐Min Gabriel Chu, & Andrés Tovar. (2016). On the Significance and Predicted Functional Effects of the Crown-to-Implant Ratio: A Finite Element Study of Long-Term Implant Stability Using High-Resolution, Nonlinear Numerical Analysis. IUScholarWorks (Indiana University). 1 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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