Michael A. Welsh

1.6k total citations
17 papers, 1.2k citations indexed

About

Michael A. Welsh is a scholar working on Molecular Biology, Genetics and Molecular Medicine. According to data from OpenAlex, Michael A. Welsh has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Molecular Medicine. Recurrent topics in Michael A. Welsh's work include Bacterial Genetics and Biotechnology (11 papers), Bacterial biofilms and quorum sensing (8 papers) and Antibiotic Resistance in Bacteria (6 papers). Michael A. Welsh is often cited by papers focused on Bacterial Genetics and Biotechnology (11 papers), Bacterial biofilms and quorum sensing (8 papers) and Antibiotic Resistance in Bacteria (6 papers). Michael A. Welsh collaborates with scholars based in United States, South Korea and Switzerland. Michael A. Welsh's co-authors include Helen E. Blackwell, Joseph D. Moore, Suzanne Walker, Uttam Manna, Daniel Kahne, David M. Lynn, Atsushi Taguchi, Thomas G. Bernhardt, Megan Sjodt and Andrew C. Kruse and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Functional Materials and Biochemistry.

In The Last Decade

Michael A. Welsh

16 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Welsh United States 16 727 360 294 199 168 17 1.2k
Patricia Latour‐Lambert France 12 715 1.0× 209 0.6× 142 0.5× 35 0.2× 229 1.4× 15 1.1k
Gail G. Hardy United States 15 548 0.8× 211 0.6× 70 0.2× 45 0.2× 173 1.0× 23 1.1k
Justin E. Silpe United States 20 741 1.0× 182 0.5× 73 0.2× 32 0.2× 371 2.2× 25 1.3k
Shanika A. Crusz United Kingdom 11 688 0.9× 226 0.6× 145 0.5× 15 0.1× 141 0.8× 15 952
Geoffrey W. Hanlon United Kingdom 11 333 0.5× 59 0.2× 110 0.4× 131 0.7× 401 2.4× 18 905
Gary J. Sharples United Kingdom 27 2.1k 2.9× 1.3k 3.7× 122 0.4× 49 0.2× 318 1.9× 78 2.8k
Javier Campos Cuba 19 262 0.4× 111 0.3× 213 0.7× 67 0.3× 238 1.4× 53 1.0k
Chase Watters United States 14 1.0k 1.4× 259 0.7× 171 0.6× 14 0.1× 107 0.6× 17 1.6k
Brett J. Pellock United States 13 1.0k 1.4× 149 0.4× 221 0.8× 15 0.1× 234 1.4× 19 1.9k
Amy Yeung Canada 18 1.1k 1.5× 241 0.7× 286 1.0× 18 0.1× 150 0.9× 22 1.7k

Countries citing papers authored by Michael A. Welsh

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Welsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Welsh. 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 Michael A. Welsh. The network helps show where Michael A. Welsh may publish in the future.

Co-authorship network of co-authors of Michael A. Welsh

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

All Works

17 of 17 papers shown
1.
Welsh, Michael A., et al.. (2023). Reconstituting Spore Cortex Peptidoglycan Biosynthesis Reveals a Deacetylase That Catalyzes Transamidation. Biochemistry. 62(8). 1342–1346.
2.
Palace, Samantha G., Yi Wang, Daniel H. F. Rubin, et al.. (2020). RNA polymerase mutations cause cephalosporin resistance in clinical Neisseria gonorrhoeae isolates. eLife. 9. 32 indexed citations
3.
Yang, Yu-an, Howard H. Yang, Binwu Tang, et al.. (2019). The Outcome of TGFβ Antagonism in Metastatic Breast Cancer Models In Vivo Reflects a Complex Balance between Tumor-Suppressive and Proprogression Activities of TGFβ. Clinical Cancer Research. 26(3). 643–656. 20 indexed citations
4.
Taguchi, Atsushi, Michael A. Welsh, Lindsey S. Marmont, et al.. (2019). FtsW is a peptidoglycan polymerase that is functional only in complex with its cognate penicillin-binding protein. Nature Microbiology. 4(4). 587–594. 212 indexed citations
5.
Welsh, Michael A., Kaitlin Schaefer, Atsushi Taguchi, Daniel Kahne, & Suzanne Walker. (2019). Direction of Chain Growth and Substrate Preferences of Shape, Elongation, Division, and Sporulation-Family Peptidoglycan Glycosyltransferases. Journal of the American Chemical Society. 141(33). 12994–12997. 23 indexed citations
6.
Baranowski, Catherine, Michael A. Welsh, Lok‐To Sham, et al.. (2018). Maturing Mycobacterium smegmatis peptidoglycan requires non-canonical crosslinks to maintain shape. eLife. 7. 88 indexed citations
7.
Buss, Jackson, Vadim Baidin, Michael A. Welsh, et al.. (2018). Pathway-Directed Screen for Inhibitors of the Bacterial Cell Elongation Machinery. Antimicrobial Agents and Chemotherapy. 63(1). 20 indexed citations
8.
Welsh, Michael A., Atsushi Taguchi, Kaitlin Schaefer, et al.. (2017). Identification of a Functionally Unique Family of Penicillin-Binding Proteins. Journal of the American Chemical Society. 139(49). 17727–17730. 53 indexed citations
9.
Welsh, Michael A. & Helen E. Blackwell. (2016). Chemical probes of quorum sensing: from compound development to biological discovery. FEMS Microbiology Reviews. 40(5). 774–794. 103 indexed citations
10.
Welsh, Michael A. & Helen E. Blackwell. (2016). Chemical Genetics Reveals Environment-Specific Roles for Quorum Sensing Circuits in Pseudomonas aeruginosa. Cell chemical biology. 23(3). 361–369. 75 indexed citations
11.
Kratochvil, Michael J., et al.. (2016). Slippery Liquid-Infused Porous Surfaces that Prevent Bacterial Surface Fouling and Inhibit Virulence Phenotypes in Surrounding Planktonic Cells. ACS Infectious Diseases. 2(7). 509–517. 93 indexed citations
12.
Manna, Uttam, Namrata Raman, Michael A. Welsh, et al.. (2016). Slippery Liquid‐Infused Porous Surfaces that Prevent Microbial Surface Fouling and Kill Non‐Adherent Pathogens in Surrounding Media: A Controlled Release Approach. Advanced Functional Materials. 26(21). 3599–3611. 151 indexed citations
13.
14.
Welsh, Michael A., et al.. (2015). Small Molecule Disruption of Quorum Sensing Cross-Regulation in Pseudomonas aeruginosa Causes Major and Unexpected Alterations to Virulence Phenotypes. Journal of the American Chemical Society. 137(4). 1510–1519. 134 indexed citations
15.
Sato, Misako, Mitsutaka Kadota, Binwu Tang, et al.. (2014). An integrated genomic approach identifies persistent tumor suppressive effects of transforming growth factor-β in human breast cancer. Breast Cancer Research. 16(3). 19 indexed citations
16.
Stacy, Danielle M., Michael A. Welsh, Philip N. Rather, & Helen E. Blackwell. (2012). Attenuation of Quorum Sensing in the Pathogen Acinetobacter baumannii Using Non-native N-Acyl Homoserine Lactones. ACS Chemical Biology. 7(10). 1719–1728. 94 indexed citations
17.
Kohn, Ethan A., Zhijun Du, Misako Sato, et al.. (2010). A novel approach for the generation of genetically modified mammary epithelial cell cultures yields new insights into TGFβ signaling in the mammary gland. Breast Cancer Research. 12(5). 22 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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