Kevin Rychel

951 total citations
28 papers, 486 citations indexed

About

Kevin Rychel is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Kevin Rychel has authored 28 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Kevin Rychel's work include RNA and protein synthesis mechanisms (12 papers), Genomics and Phylogenetic Studies (11 papers) and Machine Learning in Bioinformatics (9 papers). Kevin Rychel is often cited by papers focused on RNA and protein synthesis mechanisms (12 papers), Genomics and Phylogenetic Studies (11 papers) and Machine Learning in Bioinformatics (9 papers). Kevin Rychel collaborates with scholars based in United States, Denmark and South Korea. Kevin Rychel's co-authors include Bernhard Ø. Palsson, Anand V. Sastry, Saugat Poudel, Patrick V. Phaneuf, Cameron Lamoureux, Siddharth Chauhan, Yuan Yuan, Richard Szubin, Daniel C. Zielinski and Hannah Tsunemoto and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Frontiers in Microbiology.

In The Last Decade

Kevin Rychel

26 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Rychel United States	13	385	145	46	40	35	28	486
Nicholas R. Martin United States	6	223 0.6×	73 0.5×	27 0.6×	31 0.8×	39 1.1×	6	381
Roxana Malpica Mexico	5	337 0.9×	226 1.6×	34 0.7×	55 1.4×	63 1.8×	7	444
Laura Sellars United Kingdom	6	268 0.7×	178 1.2×	19 0.4×	69 1.7×	34 1.0×	8	361
Huina Dong China	14	445 1.2×	119 0.8×	72 1.6×	66 1.6×	18 0.5×	30	575
Christian Aimé Kayath Republic of the Congo	10	203 0.5×	84 0.6×	13 0.3×	56 1.4×	83 2.4×	30	387
Anurag Kumar Sinha Denmark	11	297 0.8×	181 1.2×	10 0.2×	65 1.6×	30 0.9×	20	410
Rikiya Takeuchi Japan	9	645 1.7×	190 1.3×	197 4.3×	53 1.3×	17 0.5×	11	749
Maricela Olvera Mexico	6	318 0.8×	161 1.1×	16 0.3×	58 1.4×	30 0.9×	8	389
Shu-Yi Su United Kingdom	8	342 0.9×	168 1.2×	11 0.2×	25 0.6×	40 1.1×	8	546
Joseph T. Byers United Kingdom	6	264 0.7×	71 0.5×	20 0.4×	30 0.8×	46 1.3×	7	375

Countries citing papers authored by Kevin Rychel

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Rychel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Rychel

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

All Works

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20 of 20 papers shown

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

Hirose, Yujiro, Daniel C. Zielinski, Saugat Poudel, et al.. (2024). A genome-scale metabolic model of a globally disseminated hyperinvasive M1 strain of Streptococcus pyogenes. mSystems. 9(9). e0073624–e0073624. 5 indexed citations

Sastry, Anand V., Yuan Yuan, Saugat Poudel, et al.. (2024). iModulonMiner and PyModulon: Software for unsupervised mining of gene expression compendia. PLoS Computational Biology. 20(10). e1012546–e1012546. 10 indexed citations

Bleem, Alissa, Hyun Gyu Lim, Kevin Rychel, et al.. (2024). Machine learning analysis of RB-TnSeq fitness data predicts functional gene modules in Pseudomonas putida KT2440. mSystems. 9(3). e0094223–e0094223. 5 indexed citations

Hefner, Ying, Anaamika Campeau, Anand V. Sastry, et al.. (2024). Proteome allocation is linked to transcriptional regulation through a modularized transcriptome. Nature Communications. 15(1). 5234–5234. 7 indexed citations

Phaneuf, Patrick V., et al.. (2024). Meta-analysis Driven Strain Design for Mitigating Oxidative Stresses Important in Biomanufacturing. ACS Synthetic Biology. 13(7). 2045–2059.

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

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

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.

Shin, Jongoh, Kevin Rychel, & Bernhard Ø. Palsson. (2023). Systems biology of competency in Vibrio natriegens is revealed by applying novel data analytics to the transcriptome. Cell Reports. 42(6). 112619–112619. 17 indexed citations

11.

Lamoureux, Cameron, Anand V. Sastry, Kevin Rychel, et al.. (2023). A multi-scale expression and regulation knowledge base forEscherichia coli. Nucleic Acids Research. 51(19). 10176–10193. 34 indexed citations

12.

Rychel, Kevin, et al.. (2023). High-resolution temporal profiling of E. coli transcriptional response. Nature Communications. 14(1). 7606–7606. 2 indexed citations

13.

Rychel, Kevin, Saugat Poudel, Yuan Yuan, et al.. (2022). Machine Learning of All Mycobacterium tuberculosis H37Rv RNA-seq Data Reveals a Structured Interplay between Metabolism, Stress Response, and Infection. mSphere. 7(2). e0003322–e0003322. 29 indexed citations

14.

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

15.

Yuan, Yuan, Yara Seif, Kevin Rychel, et al.. (2022). Pan-Genome Analysis of Transcriptional Regulation in Six Salmonella enterica Serovar Typhimurium Strains Reveals Their Different Regulatory Structures. mSystems. 7(6). e0046722–e0046722. 18 indexed citations

16.

Lim, Hyun Gyu, Kevin Rychel, Anand V. Sastry, et al.. (2022). Machine-learning from Pseudomonas putida KT2440 transcriptomes reveals its transcriptional regulatory network. Metabolic Engineering. 72. 297–310. 46 indexed citations

17.

Tibocha‐Bonilla, Juan D., et al.. (2022). Predicting stress response and improved protein overproduction in Bacillus subtilis. npj Systems Biology and Applications. 8(1). 50–50. 10 indexed citations

18.

Chauhan, Siddharth, Saugat Poudel, Kevin Rychel, et al.. (2021). Machine Learning Uncovers a Data-Driven Transcriptional Regulatory Network for the Crenarchaeal Thermoacidophile Sulfolobus acidocaldarius. Frontiers in Microbiology. 12. 753521–753521. 23 indexed citations

19.

Rychel, Kevin, et al.. (2020). iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning. Nucleic Acids Research. 49(D1). D112–D120. 80 indexed citations

20.

Rychel, Kevin, et al.. (2019). Emerging themes and unifying concepts underlying cell behavior regulation by the pericellular space. Acta Biomaterialia. 96. 81–98. 18 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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