Shaun M. Bowman

1.6k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Shaun M. Bowman is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Shaun M. Bowman has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Plant Science and 2 papers in Infectious Diseases. Recurrent topics in Shaun M. Bowman's work include Fungal and yeast genetics research (5 papers), Polysaccharides and Plant Cell Walls (2 papers) and Antifungal resistance and susceptibility (2 papers). Shaun M. Bowman is often cited by papers focused on Fungal and yeast genetics research (5 papers), Polysaccharides and Plant Cell Walls (2 papers) and Antifungal resistance and susceptibility (2 papers). Shaun M. Bowman collaborates with scholars based in United States and Canada. Shaun M. Bowman's co-authors include Stephen J. Free, Abhiram Maddi, Jeremy A. Bruenn, Matthew J. Ballinger, Derek J. Taylor, James O. Berry, Minesh Patel, Agnieszka Piwowar, Diana S. Aga and Alan J. Siegel and has published in prestigious journals such as Environmental Science & Technology, BioEssays and Mycologia.

In The Last Decade

Shaun M. Bowman

10 papers receiving 1.2k citations

Hit Papers

The structure and synthes... 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaun M. Bowman United States 9 589 569 174 167 139 10 1.2k
David A. Widdick United Kingdom 13 971 1.6× 406 0.7× 131 0.8× 370 2.2× 138 1.0× 19 1.5k
Marcelo Afonso Vallim Brazil 17 382 0.6× 423 0.7× 169 1.0× 111 0.7× 92 0.7× 40 945
Anthony J. De Lucca United States 22 693 1.2× 521 0.9× 136 0.8× 101 0.6× 205 1.5× 51 1.6k
Renata Castiglioni Pascon Brazil 19 467 0.8× 343 0.6× 158 0.9× 64 0.4× 87 0.6× 37 1.1k
Amandine Gastebois France 12 371 0.6× 387 0.7× 183 1.1× 114 0.7× 85 0.6× 20 780
José Ruiz-Herrera Mexico 17 664 1.1× 599 1.1× 70 0.4× 173 1.0× 178 1.3× 34 1.1k
Márcia Regina von Zeska Kress Brazil 21 650 1.1× 348 0.6× 431 2.5× 220 1.3× 186 1.3× 62 1.4k
Ivo Zadra Austria 18 860 1.5× 593 1.0× 155 0.9× 500 3.0× 201 1.4× 20 1.3k
José Arnau Denmark 22 1.2k 2.0× 349 0.6× 114 0.7× 193 1.2× 178 1.3× 42 1.8k
Hans‐Volker Tichy Germany 21 684 1.2× 1.0k 1.8× 97 0.6× 307 1.8× 405 2.9× 32 1.9k

Countries citing papers authored by Shaun M. Bowman

Since Specialization
Citations

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

Fields of papers citing papers by Shaun M. Bowman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaun M. Bowman. 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 Shaun M. Bowman. The network helps show where Shaun M. Bowman may publish in the future.

Co-authorship network of co-authors of Shaun M. Bowman

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

All Works

10 of 10 papers shown
1.
Bowman, Shaun M., et al.. (2013). A novel RNA binding protein affects rbcL gene expression and is specific to bundle sheath chloroplasts in C4plants. BMC Plant Biology. 13(1). 138–138. 28 indexed citations
2.
Taylor, Derek J., Matthew J. Ballinger, Shaun M. Bowman, & Jeremy A. Bruenn. (2013). Virus-host co-evolution under a modified nuclear genetic code. PeerJ. 1. e50–e50. 28 indexed citations
3.
Bowman, Shaun M., et al.. (2011). Toxicity and Reductions in Intracellular Calcium Levels Following Uptake of a Tetracycline Antibiotic in Arabidopsis. Environmental Science & Technology. 45(20). 8958–8964. 24 indexed citations
4.
Bowman, Shaun M., et al.. (2009). Characterization of GPIT-1 and GPIT-2, two auxiliary components of theNeurospora crassaGPI transamidase complex. Mycologia. 101(6). 764–772. 1 indexed citations
5.
Maddi, Abhiram, Shaun M. Bowman, & Stephen J. Free. (2009). Trifluoromethanesulfonic acid-based proteomic analysis of cell wall and secreted proteins of the ascomycetous fungi Neurospora crassa and Candida albicans. Fungal Genetics and Biology. 46(10). 768–781. 75 indexed citations
6.
Bowman, Shaun M. & Stephen J. Free. (2006). The structure and synthesis of the fungal cell wall. BioEssays. 28(8). 799–808. 961 indexed citations breakdown →
8.
Bowman, Shaun M., et al.. (2005). Mannosyltransferase is required for cell wall biosynthesis, morphology and control of asexual development in Neurospora crassa. Mycologia. 97(4). 872–879. 16 indexed citations
9.
Bowman, Shaun M., et al.. (2005). Mannosyltransferase is required for cell wall biosynthesis, morphology and control of asexual development inNeurospora crassa. Mycologia. 97(4). 872–879. 8 indexed citations
10.
Callewaert, Denis M., et al.. (1983). Kinetic Analysis of the Specificity of Human Natural Cytotoxicity. Scandinavian Journal of Immunology. 18(5). 429–438. 9 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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