Richard Szubin

3.5k total citations
71 papers, 2.2k citations indexed

About

Richard Szubin is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Richard Szubin has authored 71 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 33 papers in Genetics and 16 papers in Infectious Diseases. Recurrent topics in Richard Szubin's work include Bacterial Genetics and Biotechnology (21 papers), Microbial Metabolic Engineering and Bioproduction (20 papers) and RNA and protein synthesis mechanisms (15 papers). Richard Szubin is often cited by papers focused on Bacterial Genetics and Biotechnology (21 papers), Microbial Metabolic Engineering and Bioproduction (20 papers) and RNA and protein synthesis mechanisms (15 papers). Richard Szubin collaborates with scholars based in United States, Denmark and South Korea. Richard Szubin's co-authors include Bernhard Ø. Palsson, Donghyuk Kim, Sang Woo Seo, Edward J. O’Brien, Adam M. Feist, Anand V. Sastry, Ying Hefner, Sibei Xu, Troy E. Sandberg and Haythem Latif and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Richard Szubin

69 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Szubin United States 26 1.5k 709 225 180 179 71 2.2k
Yong‐Gui Gao Singapore 27 2.4k 1.6× 598 0.8× 194 0.9× 196 1.1× 277 1.5× 75 3.0k
Gérémy Clair United States 23 1.3k 0.9× 295 0.4× 213 0.9× 351 1.9× 178 1.0× 56 2.1k
Hiroshi Kadokura Japan 30 1.9k 1.3× 532 0.8× 136 0.6× 65 0.4× 151 0.8× 59 3.1k
Joe Gray United Kingdom 24 800 0.5× 298 0.4× 106 0.5× 187 1.0× 215 1.2× 49 1.7k
Mogens Kilstrup Denmark 26 1.8k 1.2× 873 1.2× 105 0.5× 199 1.1× 395 2.2× 58 2.7k
István Nagy Hungary 29 1.3k 0.9× 607 0.9× 144 0.6× 167 0.9× 209 1.2× 92 3.1k
John Throup United States 13 1.3k 0.9× 597 0.8× 89 0.4× 182 1.0× 183 1.0× 32 2.2k
Tobias Busche Germany 23 1.4k 1.0× 257 0.4× 237 1.1× 149 0.8× 128 0.7× 144 1.9k
Maurice Scheer Germany 14 2.6k 1.8× 427 0.6× 258 1.1× 300 1.7× 428 2.4× 15 3.3k
Oded Lewinson Israel 24 1.4k 0.9× 365 0.5× 109 0.5× 279 1.6× 150 0.8× 44 2.7k

Countries citing papers authored by Richard Szubin

Since Specialization
Citations

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

Fields of papers citing papers by Richard Szubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Szubin

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Szubin. A scholar is included among the top collaborators of Richard Szubin 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 Richard Szubin. Richard Szubin 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.
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Poudel, Saugat, Anand V. Sastry, Kevin Rychel, et al.. (2024). Independent component analysis reveals 49 independently modulated gene sets within the global transcriptional regulatory architecture of multidrug-resistant Acinetobacter baumannii. mSystems. 9(2). e0060623–e0060623. 4 indexed citations
3.
Rychel, Kevin, et al.. (2024). The hallmarks of a tradeoff in transcriptomes that balances stress and growth functions. mSystems. 9(7). e0030524–e0030524. 5 indexed citations
4.
Yuan, Yuan, Anand V. Sastry, Cigdem Sancar, et al.. (2024). Machine learning reveals the transcriptional regulatory network and circadian dynamics of Synechococcus elongatus PCC 7942. Proceedings of the National Academy of Sciences. 121(38). e2410492121–e2410492121. 3 indexed citations
5.
Rodionova, Irina A., Hyun Gyu Lim, Ye Gao, et al.. (2024). CyuR is a dual regulator for L-cysteine dependent antimicrobial resistance in Escherichia coli. Communications Biology. 7(1). 1160–1160. 1 indexed citations
6.
Hefner, Ying, Richard Szubin, Elsayed A. Mohamed, et al.. (2024). Diversity of Transcriptional Regulatory Adaptation in E. coli. Molecular Biology and Evolution. 41(11).
7.
Josephs‐Spaulding, Jonathan, Akanksha Rajput, Ying Hefner, et al.. (2024). Reconstructing the transcriptional regulatory network of probiotic L. reuteri is enabled by transcriptomics and machine learning. mSystems. 9(3). e0125723–e0125723. 11 indexed citations
8.
Hirose, Yujiro, Saugat Poudel, Anand V. Sastry, et al.. (2023). Elucidation of independently modulated genes in Streptococcus pyogenes reveals carbon sources that control its expression of hemolytic toxins. mSystems. 8(3). e0024723–e0024723. 12 indexed citations
9.
Rychel, Kevin, Justin Tan, Cameron Lamoureux, et al.. (2023). Laboratory evolution, transcriptomics, and modeling reveal mechanisms of paraquat tolerance. Cell Reports. 42(9). 113105–113105. 13 indexed citations
10.
Rodionova, Irina A., Ye Gao, Jonathan M. Monk, et al.. (2022). A systems approach discovers the role and characteristics of seven LysR type transcription factors in Escherichia coli. Scientific Reports. 12(1). 14 indexed citations
11.
Rajput, Akanksha, Hannah Tsunemoto, Anand V. Sastry, et al.. (2022). Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa. Nucleic Acids Research. 50(17). 9675–9688. 21 indexed citations
12.
Poudel, Saugat, Ying Hefner, Richard Szubin, et al.. (2022). Coordination of CcpA and CodY Regulators in Staphylococcus aureus USA300 Strains. mSystems. 7(6). e0048022–e0048022. 16 indexed citations
13.
Gao, Ye, Hyun Gyu Lim, Richard Szubin, et al.. (2021). Unraveling the functions of uncharacterized transcription factors in Escherichia coli using ChIP-exo. Nucleic Acids Research. 49(17). 9696–9710. 29 indexed citations
14.
Phaneuf, Patrick V., Daniel C. Zielinski, James T. Yurkovich, et al.. (2021). Escherichia coli Data-Driven Strain Design Using Aggregated Adaptive Laboratory Evolution Mutational Data. ACS Synthetic Biology. 10(12). 3379–3395. 9 indexed citations
15.
Choudhary, Kumari Sonal, Anand V. Sastry, Ye Gao, et al.. (2020). Elucidation of Regulatory Modes for Five Two-Component Systems in Escherichia coli Reveals Novel Relationships. mSystems. 5(6). 32 indexed citations
16.
Poudel, Saugat, Hannah Tsunemoto, Yara Seif, et al.. (2020). Revealing 29 sets of independently modulated genes in Staphylococcus aureus , their regulators, and role in key physiological response. Proceedings of the National Academy of Sciences. 117(29). 17228–17239. 57 indexed citations
17.
Anand, Amitesh, Connor A. Olson, Laurence Yang, et al.. (2019). Pseudogene repair driven by selection pressure applied in experimental evolution. Nature Microbiology. 4(3). 386–389. 19 indexed citations
18.
19.
McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Multiple Optimal Phenotypes Overcome Redox and Glycolytic Intermediate Metabolite Imbalances in Escherichia coli pgi Knockout Evolutions. Applied and Environmental Microbiology. 84(19). 28 indexed citations
20.
Szubin, Richard, W. L. William Chang, Tamara A. Greasby, Laurel Beckett, & Nicole Baumgarth. (2008). Rigid Interferon-α Subtype Responses of Human Plasmacytoid Dendritic Cells. Journal of Interferon & Cytokine Research. 28(12). 749–763. 25 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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