Charles G Howes

770 total citations
7 papers, 589 citations indexed

About

Charles G Howes is a scholar working on Molecular Biology, Ecology and Insect Science. According to data from OpenAlex, Charles G Howes has authored 7 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Insect Science. Recurrent topics in Charles G Howes's work include Genomics and Phylogenetic Studies (3 papers), Microbial Community Ecology and Physiology (2 papers) and RNA modifications and cancer (1 paper). Charles G Howes is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Microbial Community Ecology and Physiology (2 papers) and RNA modifications and cancer (1 paper). Charles G Howes collaborates with scholars based in Canada, United States and Sweden. Charles G Howes's co-authors include Leonard J. Foster, Queenie W. T. Chan, R. Henrik Nilsson, William W. Mohn, Martin Hartmann, Steven Hallam, David VanInsberghe, Dipankar Bachar, Hang Yu and Richard Christen and has published in prestigious journals such as The ISME Journal, Molecular & Cellular Proteomics and Journal of Microbiological Methods.

In The Last Decade

Charles G Howes

7 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles G Howes Canada 6 215 199 197 142 97 7 589
James Bochicchio United States 5 106 0.5× 228 1.1× 71 0.4× 240 1.7× 29 0.3× 5 557
L.W. Murray United States 18 155 0.7× 78 0.4× 47 0.2× 300 2.1× 69 0.7× 58 787
Lorenzo Lazzaro Italy 16 244 1.1× 100 0.5× 163 0.8× 408 2.9× 60 0.6× 72 901
Hector Rodríguez‐Pérez Spain 12 283 1.3× 156 0.8× 51 0.3× 67 0.5× 19 0.2× 31 591
Fabian Carriconde France 17 98 0.5× 132 0.7× 117 0.6× 382 2.7× 192 2.0× 27 740
Kelly Gravuer United States 12 190 0.9× 117 0.6× 29 0.1× 219 1.5× 239 2.5× 14 596
Carlotta Pietroni Denmark 4 369 1.7× 301 1.5× 68 0.3× 114 0.8× 16 0.2× 7 608
Sophie Manzi France 15 122 0.6× 154 0.8× 146 0.7× 339 2.4× 28 0.3× 41 598
Megan A. Rúa United States 15 96 0.4× 58 0.3× 133 0.7× 452 3.2× 33 0.3× 33 668
Kendra L. Lawrence United States 9 132 0.6× 29 0.1× 235 1.2× 115 0.8× 26 0.3× 17 547

Countries citing papers authored by Charles G Howes

Since Specialization
Citations

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

Fields of papers citing papers by Charles G Howes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles G Howes. 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 Charles G Howes. The network helps show where Charles G Howes may publish in the future.

Co-authorship network of co-authors of Charles G Howes

This figure shows the co-authorship network connecting the top 25 collaborators of Charles G Howes. A scholar is included among the top collaborators of Charles G Howes 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 Charles G Howes. Charles G Howes 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.
Burian, Ján, Santiago Ramón‐García, Charles G Howes, & Charles J. Thompson. (2012). WhiB7, a transcriptional activator that coordinates physiology with intrinsic drug resistance inMycobacterium tuberculosis. Expert Review of Anti-infective Therapy. 10(9). 1037–1047. 43 indexed citations
2.
Allers, Elke, Jody J. Wright, Kishori M. Konwar, et al.. (2012). Diversity and population structure of Marine Group A bacteria in the Northeast subarctic Pacific Ocean. The ISME Journal. 7(2). 256–268. 58 indexed citations
3.
Hartmann, Martin, Charles G Howes, David VanInsberghe, et al.. (2012). Significant and persistent impact of timber harvesting on soil microbial communities in Northern coniferous forests. The ISME Journal. 6(12). 2199–2218. 246 indexed citations
4.
Hartmann, Martin, Charles G Howes, Vilmar Veldre, et al.. (2011). V-REVCOMP: automated high-throughput detection of reverse complementary 16S rRNA gene sequences in large environmental and taxonomic datasets. FEMS Microbiology Letters. 319(2). 140–145. 9 indexed citations
5.
Hartmann, Martin, Charles G Howes, Kessy Abarenkov, William W. Mohn, & R. Henrik Nilsson. (2010). V-Xtractor: An open-source, high-throughput software tool to identify and extract hypervariable regions of small subunit (16 S/18 S) ribosomal RNA gene sequences. Journal of Microbiological Methods. 83(2). 250–253. 92 indexed citations
6.
Howes, Charles G & Leonard J. Foster. (2007). PrestOMIC, an open source application for dissemination of proteomic datasets by individual laboratories. Proteome Science. 5(1). 8–8. 4 indexed citations
7.
Chan, Queenie W. T., Charles G Howes, & Leonard J. Foster. (2006). Quantitative Comparison of Caste Differences in Honeybee Hemolymph. Molecular & Cellular Proteomics. 5(12). 2252–2262. 137 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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