Michael J. Boersma

474 total citations
7 papers, 329 citations indexed

About

Michael J. Boersma is a scholar working on Epidemiology, Microbiology and Molecular Biology. According to data from OpenAlex, Michael J. Boersma has authored 7 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Microbiology and 3 papers in Molecular Biology. Recurrent topics in Michael J. Boersma's work include Pneumonia and Respiratory Infections (6 papers), Bacterial Infections and Vaccines (5 papers) and Streptococcal Infections and Treatments (3 papers). Michael J. Boersma is often cited by papers focused on Pneumonia and Respiratory Infections (6 papers), Bacterial Infections and Vaccines (5 papers) and Streptococcal Infections and Treatments (3 papers). Michael J. Boersma collaborates with scholars based in United States, Netherlands and Italy. Michael J. Boersma's co-authors include Malcolm E. Winkler, Ho‐Ching Tiffany Tsui, Sidney L. Shaw, Michael S. VanNieuwenhze, Erkin Kuru, Yves V. Brun, Amilcar J. Perez, Erin E. Carlson, Ozden Kocaoglu and Cees Dekker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Bacteriology and Molecular Microbiology.

In The Last Decade

Michael J. Boersma

7 papers receiving 328 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 J. Boersma United States 7 165 136 110 66 62 7 329
Amilcar J. Perez United States 8 193 1.2× 144 1.1× 110 1.0× 66 1.0× 63 1.0× 13 340
Skye M. Barendt United States 8 163 1.0× 159 1.2× 173 1.6× 56 0.8× 81 1.3× 9 397
Adrian D. Land United States 7 127 0.8× 108 0.8× 167 1.5× 28 0.4× 83 1.3× 8 326
Céline Freton France 11 235 1.4× 185 1.4× 148 1.3× 81 1.2× 78 1.3× 18 428
Jules Philippe France 7 129 0.8× 139 1.0× 88 0.8× 70 1.1× 24 0.4× 8 295
Chryslène Mercy France 8 156 0.9× 110 0.8× 101 0.9× 36 0.5× 49 0.8× 8 284
Stephen A. Vella United States 10 120 0.7× 72 0.5× 174 1.6× 29 0.4× 73 1.2× 12 354
Kari Helene Berg Norway 9 109 0.7× 91 0.7× 166 1.5× 25 0.4× 103 1.7× 9 306
Clément Gallay Switzerland 8 227 1.4× 117 0.9× 89 0.8× 48 0.7× 44 0.7× 12 355
Marie‐Françoise Noirot‐Gros France 7 214 1.3× 171 1.3× 59 0.5× 86 1.3× 25 0.4× 8 329

Countries citing papers authored by Michael J. Boersma

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Boersma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Boersma

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

All Works

7 of 7 papers shown
1.
Perez, Amilcar J., Michael J. Boersma, Kevin E. Bruce, et al.. (2020). Organization of peptidoglycan synthesis in nodes and separate rings at different stages of cell division of Streptococcus pneumoniae. Molecular Microbiology. 115(6). 1152–1169. 24 indexed citations
2.
Perez, Amilcar J., Yann Cesbron, Sidney L. Shaw, et al.. (2019). Movement dynamics of divisome proteins and PBP2x:FtsW in cells of Streptococcus pneumoniae. Proceedings of the National Academy of Sciences. 116(8). 3211–3220. 88 indexed citations
3.
Sharifzadeh, Shabnam, Michael J. Boersma, Ozden Kocaoglu, et al.. (2017). Novel Electrophilic Scaffold for Imaging of Essential Penicillin-Binding Proteins in Streptococcus pneumoniae. ACS Chemical Biology. 12(11). 2849–2857. 27 indexed citations
4.
Rued, Britta E., Jia-Qi Zheng, Ho‐Ching Tiffany Tsui, et al.. (2016). Suppression and synthetic‐lethal genetic relationships of ΔgpsB mutations indicate that GpsB mediates protein phosphorylation and penicillin‐binding protein interactions in Streptococcus pneumoniaeD39. Molecular Microbiology. 103(6). 931–957. 52 indexed citations
5.
Boersma, Michael J., Erkin Kuru, Jonathan Rittichier, et al.. (2015). Minimal Peptidoglycan (PG) Turnover in Wild-Type and PG Hydrolase and Cell Division Mutants of Streptococcus pneumoniae D39 Growing Planktonically and in Host-Relevant Biofilms. Journal of Bacteriology. 197(21). 3472–3485. 46 indexed citations
6.
Tsui, Ho‐Ching Tiffany, Michael J. Boersma, Stephen A. Vella, et al.. (2014). Pbp2x localizes separately from Pbp2b and other peptidoglycan synthesis proteins during later stages of cell division of Streptococcus pneumoniae D39. Molecular Microbiology. 94(1). 21–40. 79 indexed citations
7.
Boersma, Michael J., et al.. (2011). A screen for Neurospora knockout mutants displaying growth rate dependent branch density. Fungal Biology. 115(3). 296–301. 13 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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