Jonathan Borowsky

791 total citations
7 papers, 391 citations indexed

About

Jonathan Borowsky is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Jonathan Borowsky has authored 7 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Infectious Diseases. Recurrent topics in Jonathan Borowsky's work include Computational Drug Discovery Methods (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Protein Structure and Dynamics (2 papers). Jonathan Borowsky is often cited by papers focused on Computational Drug Discovery Methods (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Protein Structure and Dynamics (2 papers). Jonathan Borowsky collaborates with scholars based in United States, Switzerland and Germany. Jonathan Borowsky's co-authors include Gregory R. Bowman, Michael D. Ward, Artur Meller, Neha Vithani, Sukrit Singh, Maxwell I. Zimmerman, Juan Lavista Ferres, Jeffrey M. Lotthammer, Meghana Kshirsagar and Felipe Oviedo and has published in prestigious journals such as Nature Communications, Biophysical Journal and Nature Chemistry.

In The Last Decade

Jonathan Borowsky

7 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Borowsky United States	5	287	112	108	48	30	7	391
Artur Meller United States	9	345 1.2×	90 0.8×	144 1.3×	78 1.6×	31 1.0×	14	451
Yui Tik Pang United States	9	240 0.8×	99 0.9×	92 0.9×	32 0.7×	39 1.3×	18	348
Mattia Miotto Italy	13	353 1.2×	100 0.9×	71 0.7×	81 1.7×	41 1.4×	38	524
Steve Agajanian United States	11	266 0.9×	133 1.2×	132 1.2×	28 0.6×	56 1.9×	17	374
Maciej Paweł Ciemny Poland	8	408 1.4×	45 0.4×	137 1.3×	84 1.8×	74 2.5×	9	508
V. Talibov Sweden	11	267 0.9×	45 0.4×	56 0.5×	57 1.2×	31 1.0×	18	349
Kimberly F. Fennell United States	7	276 1.0×	89 0.8×	59 0.5×	25 0.5×	19 0.6×	9	427
Min‐Feng Hsu Taiwan	7	159 0.6×	215 1.9×	156 1.4×	23 0.5×	12 0.4×	14	384
Jure Borišek Slovenia	15	333 1.2×	62 0.6×	45 0.4×	37 0.8×	19 0.6×	32	534
Harry Scholes United Kingdom	8	379 1.3×	86 0.8×	57 0.5×	95 2.0×	9 0.3×	9	543

Countries citing papers authored by Jonathan Borowsky

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Borowsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Borowsky

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

All Works

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7 of 7 papers shown

1.

Meller, Artur, Michael D. Ward, Jonathan Borowsky, et al.. (2023). Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural network. Nature Communications. 14(1). 1177–1177. 86 indexed citations

2.

Meller, Artur, Michael D. Ward, Jonathan Borowsky, et al.. (2023). Predicting the locations of cryptic pockets from single protein structures using the PocketMiner graph neural network. Biophysical Journal. 122(3). 445a–445a. 13 indexed citations

3.

Borowsky, Jonathan, Elizabeth E. Davis, Chris M. Herbst, et al.. (2022). An Equilibrium Model of the Impact of Increased Public Investment in Early Childhood Education. SSRN Electronic Journal. 1 indexed citations

4.

Vithani, Neha, Michael D. Ward, Maxwell I. Zimmerman, et al.. (2021). SARS-CoV-2 Nsp16 activation mechanism and a cryptic pocket with pan-coronavirus antiviral potential. Biophysical Journal. 120(14). 2880–2889. 56 indexed citations

5.

Zimmerman, Maxwell I., Justin R. Porter, Michael D. Ward, et al.. (2021). SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome. Nature Chemistry. 13(7). 651–659. 167 indexed citations

6.

Borowsky, Jonathan, et al.. (2019). Development of a Nucleic Acid-Based Life Detection Instrument Testbed. Repository for Publications and Research Data (ETH Zurich). 1–10. 2 indexed citations

7.

Love, Kerry R., Kartik Shah, Charles A. Whittaker, et al.. (2016). Comparative genomics and transcriptomics of Pichia pastoris. BMC Genomics. 17(1). 550–550. 66 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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