Mitchell W. Pesesky

1.4k total citations
15 papers, 814 citations indexed

About

Mitchell W. Pesesky is a scholar working on Molecular Biology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Mitchell W. Pesesky has authored 15 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Molecular Medicine and 3 papers in Infectious Diseases. Recurrent topics in Mitchell W. Pesesky's work include Microbial metabolism and enzyme function (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Cancer Cells and Metastasis (3 papers). Mitchell W. Pesesky is often cited by papers focused on Microbial metabolism and enzyme function (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Cancer Cells and Metastasis (3 papers). Mitchell W. Pesesky collaborates with scholars based in United States, Pakistan and China. Mitchell W. Pesesky's co-authors include Gautam Dantas, Carey‐Ann D. Burnham, Molly K. Gibson, David A. C. Beck, Jodie M. Fleming, Barbara K. Vonderhaar, Erika Ginsburg, Matthew J. Meyer, Tahir Hussain and Meghan A. Wallace and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Applied and Environmental Microbiology.

In The Last Decade

Mitchell W. Pesesky

15 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitchell W. Pesesky United States	13	467	186	108	102	91	15	814
Ranjith Kumavath India	19	709 1.5×	133 0.7×	63 0.6×	61 0.6×	87 1.0×	64	1.2k
Stephanie L. Neville Australia	17	333 0.7×	200 1.1×	50 0.5×	90 0.9×	50 0.5×	35	991
Yuebin Ke China	21	351 0.8×	54 0.3×	87 0.8×	74 0.7×	109 1.2×	54	1.2k
Hualiang Pi United States	20	524 1.1×	147 0.8×	44 0.4×	45 0.4×	89 1.0×	29	1.3k
Wanxin Li China	17	357 0.8×	160 0.9×	43 0.4×	48 0.5×	37 0.4×	35	734
Lauren D. Palmer United States	17	479 1.0×	312 1.7×	41 0.4×	31 0.3×	34 0.4×	29	1.0k
Abdelali Daddaoua Spain	26	852 1.8×	174 0.9×	96 0.9×	45 0.4×	176 1.9×	52	1.5k
Filipe Sansonetty Portugal	19	576 1.2×	107 0.6×	57 0.5×	73 0.7×	166 1.8×	29	1.2k
Tobias Österlund Sweden	18	714 1.5×	180 1.0×	181 1.7×	32 0.3×	57 0.6×	35	1.2k
Diego M. Assis Brazil	18	330 0.7×	225 1.2×	61 0.6×	83 0.8×	20 0.2×	46	1.0k

Countries citing papers authored by Mitchell W. Pesesky

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell W. Pesesky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell W. Pesesky. 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 Mitchell W. Pesesky. The network helps show where Mitchell W. Pesesky may publish in the future.

Co-authorship network of co-authors of Mitchell W. Pesesky

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Zheng, Yu, Mitchell W. Pesesky, Lei Zhang, et al.. (2020). A Complex Interplay between Nitric Oxide, Quorum Sensing, and the Unique Secondary Metabolite Tundrenone Constitutes the Hypoxia Response in Methylobacter. mSystems. 5(1). 18 indexed citations

Puri, Aaron W., Amy L. Schaefer, Yu Zheng, et al.. (2019). Interspecies Chemical Signaling in a Methane-Oxidizing Bacterial Community. Applied and Environmental Microbiology. 85(7). 13 indexed citations

Pesesky, Mitchell W., et al.. (2019). Mosaic plasmids are abundant and unevenly distributed across prokaryotic taxa. Plasmid. 102. 10–18. 44 indexed citations

Crook, Nathan, Aura Ferreiro, Andrew J. Gasparrini, et al.. (2019). Adaptive Strategies of the Candidate Probiotic E. coli Nissle in the Mammalian Gut. Cell Host & Microbe. 25(4). 499–512.e8. 95 indexed citations

Groom, Joseph, Stephanie Ford, Mitchell W. Pesesky, & Mary E. Lidstrom. (2019). A Mutagenic Screen Identifies a TonB-Dependent Receptor Required for the Lanthanide Metal Switch in the Type I Methanotroph “Methylotuvimicrobium buryatense” 5GB1C. Journal of Bacteriology. 201(15). 34 indexed citations

Fu, Yanfen, Melissa Hendershott, Frances Chu, et al.. (2017). Oxygen-limited metabolism in the methanotroph Methylomicrobium buryatense 5GB1C. PeerJ. 5. e3945–e3945. 70 indexed citations

Yoneda, Aki, William R. Henson, Kevin J. Forsberg, et al.. (2016). Comparative transcriptomics elucidates adaptive phenol tolerance and utilization in lipid-accumulatingRhodococcus opacusPD630. Nucleic Acids Research. 44(5). 2240–2254. 90 indexed citations

Pesesky, Mitchell W., Tahir Hussain, Meghan A. Wallace, et al.. (2016). Evaluation of Machine Learning and Rules-Based Approaches for Predicting Antimicrobial Resistance Profiles in Gram-negative Bacilli from Whole Genome Sequence Data. Frontiers in Microbiology. 7. 1887–1887. 77 indexed citations

Gonzales, Patrick R., Mitchell W. Pesesky, Renee A. Bouley, et al.. (2015). Synergistic, collaterally sensitive β-lactam combinations suppress resistance in MRSA. Nature Chemical Biology. 11(11). 855–861. 127 indexed citations

10.

Pesesky, Mitchell W., Tahir Hussain, Meghan A. Wallace, et al.. (2015). KPC and NDM-1 Genes in RelatedEnterobacteriaceaeStrains and Plasmids from Pakistan and the United States. Emerging infectious diseases. 21(6). 1034–1037. 54 indexed citations

11.

Gibson, Molly K., Mitchell W. Pesesky, & Gautam Dantas. (2014). The Yin and Yang of Bacterial Resilience in the Human Gut Microbiota. Journal of Molecular Biology. 426(23). 3866–3876. 48 indexed citations

12.

Meyer, Matthew J., et al.. (2010). Abstract 4308: Dynamic regulation of CD24 and the invasive, CD44posCD24neg phenotype in breast cancer cell lines. Cancer Research. 70(8_Supplement). 4308–4308. 1 indexed citations

13.

Meyer, Matthew J., et al.. (2009). Dynamic regulation of CD24 and the invasive, CD44posCD24negphenotype in breast cancer cell lines. Breast Cancer Research. 11(6). R82–R82. 113 indexed citations

14.

Meyer, Matthew J., et al.. (2009). Research article Dynamic regulation of CD24 and the invasive, CD44 pos CD24 neg phenotype in breast cancer cell lines. 2 indexed citations

15.

O’Rourke, Kevin P., et al.. (2009). Genome-Wide Characterization of the SloR Metalloregulome in Streptococcus mutans. Journal of Bacteriology. 192(5). 1433–1443. 28 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.

Explore authors with similar magnitude of impact