Tesia Bobrowski

426 total citations
13 papers, 243 citations indexed

About

Tesia Bobrowski is a scholar working on Infectious Diseases, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Tesia Bobrowski has authored 13 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 8 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Tesia Bobrowski's work include Computational Drug Discovery Methods (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and COVID-19 Clinical Research Studies (3 papers). Tesia Bobrowski is often cited by papers focused on Computational Drug Discovery Methods (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and COVID-19 Clinical Research Studies (3 papers). Tesia Bobrowski collaborates with scholars based in United States, Brazil and Canada. Tesia Bobrowski's co-authors include Eugene Muratov, Alexander Tropsha, Daniel Korn, Cleber C. Melo‐Filho, Vinícius M. Alves, Scott S. Auerbach, Charles Schmitt, Richard T. Eastman, Alexey Zakharov and Anton Simeonov and has published in prestigious journals such as Immunity, Bioinformatics and FEMS Microbiology Reviews.

In The Last Decade

Tesia Bobrowski

12 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tesia Bobrowski United States 7 129 125 96 32 25 13 243
Hui-Chen Hung Taiwan 6 142 1.1× 105 0.8× 112 1.2× 67 2.1× 39 1.6× 8 331
Tobias John United Kingdom 7 91 0.7× 92 0.7× 89 0.9× 18 0.6× 31 1.2× 9 206
Christophe Buyck Belgium 8 136 1.1× 81 0.6× 157 1.6× 78 2.4× 32 1.3× 15 356
Szu-Huei Wu Taiwan 7 183 1.4× 116 0.9× 140 1.5× 19 0.6× 40 1.6× 8 401
Xiaolin Xie China 7 160 1.2× 110 0.9× 91 0.9× 21 0.7× 57 2.3× 11 312
Yuan Chu China 4 193 1.5× 80 0.6× 102 1.1× 55 1.7× 42 1.7× 7 376
Neha Verma India 10 88 0.7× 66 0.5× 167 1.7× 33 1.0× 26 1.0× 37 350
Guangbo Yang China 5 66 0.5× 73 0.6× 105 1.1× 42 1.3× 16 0.6× 7 229
Min‐Feng Hsu Taiwan 7 215 1.7× 156 1.2× 159 1.7× 18 0.6× 40 1.6× 14 384
Mohamed Mahdi Hungary 7 124 1.0× 76 0.6× 96 1.0× 18 0.6× 28 1.1× 26 264

Countries citing papers authored by Tesia Bobrowski

Since Specialization
Citations

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

Fields of papers citing papers by Tesia Bobrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tesia Bobrowski

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

All Works

13 of 13 papers shown
1.
Humblin, Étienne, Nataliya Prokhnevska, Abishek Vaidya, et al.. (2025). The costimulatory molecule ICOS limits memory-like properties and function of exhausted PD-1+CD8+ T cells. Immunity. 58(8). 1966–1983.e10. 4 indexed citations
2.
3.
Cohen, Phillip, Oded Danziger, Roosheel S. Patel, et al.. (2023). Unambiguous detection of SARS-CoV-2 subgenomic mRNAs with single-cell RNA sequencing. Microbiology Spectrum. 11(5). e0077623–e0077623. 4 indexed citations
4.
Bobrowski, Tesia, Vinícius M. Alves, Luciana Scotti, et al.. (2023). Praemonitus praemunitus: can we forecast and prepare for future viral disease outbreaks?. FEMS Microbiology Reviews. 47(5). 9 indexed citations
5.
Jain, Sankalp, Cleber C. Melo‐Filho, Tesia Bobrowski, et al.. (2022). Allosteric Binders of ACE2 Are Promising Anti-SARS-CoV-2 Agents. ACS Pharmacology & Translational Science. 5(7). 468–478. 11 indexed citations
6.
Melo‐Filho, Cleber C., Tesia Bobrowski, Konstantin I. Popov, et al.. (2022). Conserved coronavirus proteins as targets of broad-spectrum antivirals. Antiviral Research. 204. 105360–105360. 23 indexed citations
7.
Bobrowski, Tesia, Daniel Korn, Eugene Muratov, & Alexander Tropsha. (2021). ZINC Express: A Virtual Assistant for Purchasing Compounds Annotated in the ZINC Database. Journal of Chemical Information and Modeling. 61(3). 1033–1036. 6 indexed citations
8.
Korn, Daniel, Tesia Bobrowski, Vinícius M. Alves, et al.. (2021). COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug–Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19. Journal of Chemical Information and Modeling. 61(12). 5734–5741. 3 indexed citations
9.
Korn, Daniel, Tesia Bobrowski, Patrick Wang, et al.. (2020). COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database. Bioinformatics. 37(4). 586–587. 15 indexed citations
10.
Bobrowski, Tesia, Cleber C. Melo‐Filho, Daniel Korn, et al.. (2020). Learning from history: do not flatten the curve of antiviral research!. Drug Discovery Today. 25(9). 1604–1613. 27 indexed citations
11.
Alves, Vinícius M., Tesia Bobrowski, Cleber C. Melo‐Filho, et al.. (2020). QSAR Modeling of SARS‐CoV M pro Inhibitors Identifies Sufugolix, Cenicriviroc, Proglumetacin, and other Drugs as Candidates for Repurposing against SARS‐CoV‐2. Molecular Informatics. 40(1). e2000113–e2000113. 63 indexed citations
12.
Bobrowski, Tesia, Lu Chen, Richard T. Eastman, et al.. (2020). Synergistic and Antagonistic Drug Combinations against SARS-CoV-2. Molecular Therapy. 29(2). 873–885. 77 indexed citations
13.
Bobrowski, Tesia, Lu Chen, Richard T. Eastman, et al.. (2020). Discovery of Synergistic and Antagonistic Drug Combinations Against SARS-CoV-2 <i>In Vitro</i>. SSRN Electronic Journal. 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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