Erol Kavvas

929 total citations
15 papers, 613 citations indexed

About

Erol Kavvas is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Erol Kavvas has authored 15 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Infectious Diseases. Recurrent topics in Erol Kavvas's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Gene Regulatory Network Analysis (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Erol Kavvas is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Gene Regulatory Network Analysis (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Erol Kavvas collaborates with scholars based in United States, Denmark and Canada. Erol Kavvas's co-authors include Bernhard Ø. Palsson, Jonathan M. Monk, Yara Seif, James T. Yurkovich, David Heckmann, Edward Catoiu, Laurence Yang, Nathan Mih, Jason C. Hyun and Xin Fang and has published in prestigious journals such as Nature Communications, Bioinformatics and Frontiers in Microbiology.

In The Last Decade

Erol Kavvas

15 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erol Kavvas United States	13	458	117	92	86	80	15	613
Yara Seif United States	17	697 1.5×	172 1.5×	101 1.1×	146 1.7×	171 2.1×	26	924
Edward Catoiu United States	9	358 0.8×	65 0.6×	46 0.5×	90 1.0×	84 1.1×	12	459
Ae‐Ran Kwon South Korea	16	353 0.8×	82 0.7×	79 0.9×	37 0.4×	127 1.6×	42	681
Amitesh Anand India	14	415 0.9×	141 1.2×	55 0.6×	46 0.5×	121 1.5×	24	641
Meagan Hamblin United States	7	317 0.7×	106 0.9×	129 1.4×	33 0.4×	84 1.1×	11	583
Saugat Poudel United States	14	454 1.0×	112 1.0×	48 0.5×	44 0.5×	159 2.0×	27	594
Fasahath Husain United States	11	187 0.4×	103 0.9×	177 1.9×	71 0.8×	113 1.4×	15	515
Marlene Fredborg Denmark	11	233 0.5×	59 0.5×	72 0.8×	44 0.5×	37 0.5×	15	551
Miguel A. Alcantar United States	7	347 0.8×	65 0.6×	81 0.9×	75 0.9×	60 0.8×	9	517
Maxim Suvorov United States	9	212 0.5×	159 1.4×	148 1.6×	36 0.4×	62 0.8×	11	447

Countries citing papers authored by Erol Kavvas

Since Specialization

Citations

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

Fields of papers citing papers by Erol Kavvas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erol Kavvas

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

All Works

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15 of 15 papers shown

Kavvas, Erol, Christopher P. Long, Anand V. Sastry, et al.. (2022). Experimental Evolution Reveals Unifying Systems-Level Adaptations but Diversity in Driving Genotypes. mSystems. 7(6). e0016522–e0016522. 10 indexed citations

Sastry, Anand V., et al.. (2021). Independent component analysis recovers consistent regulatory signals from disparate datasets. PLoS Computational Biology. 17(2). e1008647–e1008647. 27 indexed citations

Kavvas, Erol, et al.. (2021). Adaptive laboratory evolution for improved tolerance of isobutyl acetate in Escherichia coli. Metabolic Engineering. 69. 50–58. 23 indexed citations

Kavvas, Erol. (2020). Biologically-interpretable machine learning for microbial genomics. eScholarship (California Digital Library). 1 indexed citations

Kavvas, Erol, Laurence Yang, Jonathan M. Monk, David Heckmann, & Bernhard Ø. Palsson. (2020). A biochemically-interpretable machine learning classifier for microbial GWAS. Nature Communications. 11(1). 2580–2580. 57 indexed citations

Hyun, Jason C., Erol Kavvas, Jonathan M. Monk, & Bernhard Ø. Palsson. (2020). Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens. PLoS Computational Biology. 16(3). e1007608–e1007608. 62 indexed citations

Seif, Yara, Jonathan M. Monk, Henrique Machado, Erol Kavvas, & Bernhard Ø. Palsson. (2019). Systems Biology and Pangenome of Salmonella O-Antigens. mBio. 10(4). 25 indexed citations

Mih, Nathan, Elizabeth Brunk, Ke Chen, et al.. (2018). ssbio: a Python framework for structural systems biology. Bioinformatics. 34(12). 2155–2157. 26 indexed citations

Seif, Yara, Erol Kavvas, Jean‐Christophe Lachance, et al.. (2018). Genome-scale metabolic reconstructions of multiple Salmonella strains reveal serovar-specific metabolic traits. Nature Communications. 9(1). 3771–3771. 95 indexed citations

10.

Fang, Xin, Jonathan M. Monk, Nathan Mih, et al.. (2018). Escherichia coli B2 strains prevalent in inflammatory bowel disease patients have distinct metabolic capabilities that enable colonization of intestinal mucosa. BMC Systems Biology. 12(1). 66–66. 35 indexed citations

11.

Kavvas, Erol, Edward Catoiu, Nathan Mih, et al.. (2018). Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance. Nature Communications. 9(1). 4306–4306. 129 indexed citations

12.

Kavvas, Erol, Yara Seif, James T. Yurkovich, et al.. (2018). Updated and standardized genome-scale reconstruction of Mycobacterium tuberculosis H37Rv, iEK1011, simulates flux states indicative of physiological conditions. BMC Systems Biology. 12(1). 25–25. 45 indexed citations

13.

Choudhary, Kumari Sonal, Nathan Mih, Jonathan M. Monk, et al.. (2018). The Staphylococcus aureus Two-Component System AgrAC Displays Four Distinct Genomic Arrangements That Delineate Genomic Virulence Factor Signatures. Frontiers in Microbiology. 9. 1082–1082. 24 indexed citations

14.

Norsigian, Charles J., Erol Kavvas, Yara Seif, Bernhard Ø. Palsson, & Jonathan M. Monk. (2018). iCN718, an Updated and Improved Genome-Scale Metabolic Network Reconstruction of Acinetobacter baumannii AYE. Frontiers in Genetics. 9. 121–121. 30 indexed citations

15.

Du, Bin, Daniel C. Zielinski, Erol Kavvas, et al.. (2016). Evaluation of rate law approximations in bottom-up kinetic models of metabolism. BMC Systems Biology. 10(1). 40–40. 24 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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