Tomáš Helikar

3.2k total citations
72 papers, 1.5k citations indexed

About

Tomáš Helikar is a scholar working on Molecular Biology, Education and Immunology. According to data from OpenAlex, Tomáš Helikar has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 11 papers in Education and 9 papers in Immunology. Recurrent topics in Tomáš Helikar's work include Gene Regulatory Network Analysis (27 papers), Bioinformatics and Genomic Networks (26 papers) and Microbial Metabolic Engineering and Bioproduction (15 papers). Tomáš Helikar is often cited by papers focused on Gene Regulatory Network Analysis (27 papers), Bioinformatics and Genomic Networks (26 papers) and Microbial Metabolic Engineering and Bioproduction (15 papers). Tomáš Helikar collaborates with scholars based in United States, France and Germany. Tomáš Helikar's co-authors include Jim Rogers, John Konvalina, Jack Heidel, Bryan Kowal, Anna Niarakis, Claudine Chaouiya, Denis Thieffry, Julio Sáez-Rodríguez, Pedro T. Monteiro and Joseph Dauer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Tomáš Helikar

72 papers receiving 1.5k citations

Peers

Tomáš Helikar
Jim Rogers United States
Xuequn Shang China
Zhe Feng China
Uğis Sarkans United Kingdom
Florian Prinz Germany
Michael D. Linderman United States
Laurie J. Heyer United States
Heba Saadeh Jordan
George Tucker United States
Jianhua Ruan United States
Jim Rogers United States
Tomáš Helikar
Citations per year, relative to Tomáš Helikar Tomáš Helikar (= 1×) peers Jim Rogers

Countries citing papers authored by Tomáš Helikar

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Helikar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Helikar

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Helikar. A scholar is included among the top collaborators of Tomáš Helikar 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 Tomáš Helikar. Tomáš Helikar 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.
Chatterjee, Arpita, Elizabeth A. Kosmacek, Mei Liu, et al.. (2025). Identification of Potential Prophylactic Medical Countermeasures Against Acute Radiation Syndrome (ARS). International Journal of Molecular Sciences. 26(9). 4055–4055. 1 indexed citations
2.
Laubenbacher, Reinhard, Gary An, Filippo Castiglione, et al.. (2024). Forum on immune digital twins: a meeting report. npj Systems Biology and Applications. 10(1). 19–19. 6 indexed citations
3.
Zhao, Zhongyuan, et al.. (2023). COMO: a pipeline for multi-omics data integration in metabolic modeling and drug discovery. Briefings in Bioinformatics. 24(6). 4 indexed citations
4.
Song, Changsoo, et al.. (2023). Factors Influencing Instructors’ Adoption and Continued Use of Computing Science Technologies: A Case Study in the Context of Cell Collective. CBE—Life Sciences Education. 22(3). ar29–ar29. 1 indexed citations
5.
6.
Puniya, Bhanwar Lal, et al.. (2022). Arginine Catabolism and Polyamine Biosynthesis Pathway Disparities Within Francisella tularensis Subpopulations. Frontiers in Microbiology. 13. 890856–890856. 1 indexed citations
7.
Puniya, Bhanwar Lal, et al.. (2021). A multi-approach and multi-scale platform to model CD4+ T cells responding to infections. PLoS Computational Biology. 17(8). e1009209–e1009209. 11 indexed citations
8.
Smith, Lucian P., Frank Bergmann, Alan Garny, et al.. (2021). The simulation experiment description markup language (SED-ML): language specification for level 1 version 4. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 18(3). 20210021–20210021. 8 indexed citations
9.
Amin, Rada, et al.. (2021). Recent applications of quantitative systems pharmacology and machine learning models across diseases. Journal of Pharmacokinetics and Pharmacodynamics. 49(1). 19–37. 39 indexed citations
10.
Puniya, Bhanwar Lal, Rada Amin, Robert Moore, et al.. (2021). Integrative computational approach identifies drug targets in CD4+ T-cell-mediated immune disorders. npj Systems Biology and Applications. 7(1). 4–4. 21 indexed citations
11.
Moore, Robert, Bhanwar Lal Puniya, Robert Powers, et al.. (2021). Author Correction: Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome. Scientific Reports. 11(1). 7057–7057. 1 indexed citations
12.
Niarakis, Anna, Martin Kuiper, Marek Ostaszewski, et al.. (2020). Setting the basis of best practices and standards for curation and annotation of logical models in biology—highlights of the [BC]2 2019 CoLoMoTo/SysMod Workshop. Briefings in Bioinformatics. 22(2). 1848–1859. 13 indexed citations
13.
Puniya, Bhanwar Lal, et al.. (2018). Identification of Biologically Essential Nodes via Determinative Power in Logical Models of Cellular Processes. Frontiers in Physiology. 9. 1185–1185. 6 indexed citations
14.
Barberis, Matteo, et al.. (2018). Simulation of Stimulation: Cytokine Dosage and Cell Cycle Crosstalk Driving Timing-Dependent T Cell Differentiation. Frontiers in Physiology. 9. 879–879. 33 indexed citations
15.
Puniya, Bhanwar Lal, et al.. (2018). A Mechanistic Computational Model Reveals That Plasticity of CD4+ T Cell Differentiation Is a Function of Cytokine Composition and Dosage. Frontiers in Physiology. 9. 878–878. 31 indexed citations
16.
Puniya, Bhanwar Lal, et al.. (2016). Systems Perturbation Analysis of a\nLarge-Scale Signal Transduction\nModel Reveals Potentially Influential\nCandidates for Cancer Therapeutics. SHILAP Revista de lepidopterología. 19 indexed citations
17.
Allen, Laura, et al.. (2014). Design, Assessment, and in vivo Evaluation of a Computational Model Illustrating the Role of CAV1 in CD4+ T-lymphocytes. Frontiers in Immunology. 5. 599–599. 16 indexed citations
18.
Helikar, Tomáš, Bryan Kowal, Ishwor Thapa, et al.. (2012). Bio-Logic Builder: A Non-Technical Tool for Building Dynamical, Qualitative Models. PLoS ONE. 7(10). e46417–e46417. 10 indexed citations
19.
Helikar, Tomáš, et al.. (2012). Dynamics of Influenza Virus and Human Host Interactions During Infection and Replication Cycle. Bulletin of Mathematical Biology. 75(6). 988–1011. 20 indexed citations
20.
Helikar, Tomáš, et al.. (2012). The Cell Collective: Toward an open and collaborative approach to systems biology. BMC Systems Biology. 6(1). 96–96. 154 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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