Briallen Lobb

1.1k total citations
21 papers, 446 citations indexed

About

Briallen Lobb is a scholar working on Molecular Biology, Ecology and Epidemiology. According to data from OpenAlex, Briallen Lobb has authored 21 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Ecology and 3 papers in Epidemiology. Recurrent topics in Briallen Lobb's work include Genomics and Phylogenetic Studies (11 papers), Microbial Community Ecology and Physiology (8 papers) and Machine Learning in Bioinformatics (4 papers). Briallen Lobb is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Microbial Community Ecology and Physiology (8 papers) and Machine Learning in Bioinformatics (4 papers). Briallen Lobb collaborates with scholars based in Canada, United States and Australia. Briallen Lobb's co-authors include Andrew C. Doxey, Donovan H. Parks, Han Chen, Kerrin Mendler, Laura Hug, Gabriel Moreno‐Hagelsieb, Benjamin J.-M. Tremblay, Daniel Kurtz, Josh D. Neufeld and Michael J. Mansfield and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Briallen Lobb

20 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Briallen Lobb Canada 9 289 146 56 41 32 21 446
André Arashiro Pulschen Brazil 12 226 0.8× 151 1.0× 71 1.3× 38 0.9× 17 0.5× 15 418
Zichao Yu China 15 235 0.8× 182 1.2× 43 0.8× 38 0.9× 25 0.8× 40 554
Firas S. Midani United States 10 295 1.0× 99 0.7× 33 0.6× 37 0.9× 29 0.9× 15 510
Cindi A. Hoover United States 8 240 0.8× 168 1.2× 106 1.9× 47 1.1× 14 0.4× 11 435
Kamila Czechowska Switzerland 10 214 0.7× 84 0.6× 59 1.1× 31 0.8× 73 2.3× 18 384
Konrad Foerstner Germany 9 467 1.6× 224 1.5× 73 1.3× 38 0.9× 24 0.8× 11 577
Askarbek Orakov China 8 253 0.9× 143 1.0× 29 0.5× 18 0.4× 42 1.3× 11 402
Eszter Ari Hungary 14 282 1.0× 63 0.4× 73 1.3× 29 0.7× 19 0.6× 22 478
Oriane Matte-Tailliez France 8 270 0.9× 147 1.0× 49 0.9× 62 1.5× 18 0.6× 14 424
Kazuma Nakano Japan 11 192 0.7× 105 0.7× 35 0.6× 52 1.3× 27 0.8× 22 406

Countries citing papers authored by Briallen Lobb

Since Specialization
Citations

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

Fields of papers citing papers by Briallen Lobb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Briallen Lobb. 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 Briallen Lobb. The network helps show where Briallen Lobb may publish in the future.

Co-authorship network of co-authors of Briallen Lobb

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

All Works

20 of 20 papers shown
1.
Doxey, Andrew C., Vivian H. Chu, Briallen Lobb, et al.. (2025). Metatranscriptomic profiling reveals pathogen and host response signatures of pediatric acute sinusitis and upper respiratory infection. Genome Medicine. 17(1). 22–22. 2 indexed citations
2.
Lee, Pyung‐Gang, Geoffrey Masuyer, Jack N. Liang, et al.. (2025). Identification and characterization of botulinum neurotoxin–like two-component toxins in Paeniclostridium ghonii. Science Advances. 11(46). eadx6145–eadx6145.
3.
Lobb, Briallen, Yan Zhou, Vikram Misra, et al.. (2025). Bat-specific adaptations in interferon signaling and GBP1 contribute to enhanced antiviral capacity. Nature Communications. 16(1). 5735–5735. 1 indexed citations
4.
Lobb, Briallen, Zijing Wu, Donovan H. Parks, et al.. (2024). AnnoView enables large-scale analysis, comparison, and visualization of microbial gene neighborhoods. Briefings in Bioinformatics. 25(3). 10 indexed citations
5.
Lobb, Briallen, Benjamin J.-M. Tremblay, Michael J. Mansfield, et al.. (2023). Ancient Clostridium DNA and variants of tetanus neurotoxins associated with human archaeological remains. Nature Communications. 14(1). 5475–5475. 6 indexed citations
6.
7.
Lobb, Briallen, et al.. (2023). Phylogenomic Analysis of 155 Helminth Species Reveals Widespread Absence of Oxygen Metabolic Capacity. Genome Biology and Evolution. 15(8). 1 indexed citations
8.
Lobb, Briallen, et al.. (2023). Functional Profiling and Evolutionary Analysis of a Marine Microalgal Virus Pangenome. Viruses. 15(5). 1116–1116. 3 indexed citations
9.
Lobb, Briallen, Benjamin J.-M. Tremblay, Gabriel Moreno‐Hagelsieb, & Andrew C. Doxey. (2021). PathFams: statistical detection of pathogen-associated protein domains. BMC Genomics. 22(1). 663–663. 2 indexed citations
10.
Tremblay, Benjamin J.-M., Briallen Lobb, & Andrew C. Doxey. (2020). PhyloCorrelate: inferring bacterial gene–gene functional associations through large-scale phylogenetic profiling. Bioinformatics. 37(1). 17–22. 12 indexed citations
11.
Cheng, Jiujun, Briallen Lobb, Suhelen Egan, et al.. (2020). Slr4, a newly identified S‐layer protein from marine Gammaproteobacteria, is a major biofilm matrix component. Molecular Microbiology. 114(6). 979–990. 8 indexed citations
12.
Lobb, Briallen, Michael D. J. Lynch, Michael J. Mansfield, et al.. (2020). Time Series Resolution of the Fish Necrobiome Reveals a Decomposer Succession Involving Toxigenic Bacterial Pathogens. mSystems. 5(2). 16 indexed citations
13.
Doxey, Andrew C., Michael J. Mansfield, & Briallen Lobb. (2019). Exploring the Evolution of Virulence Factors through Bioinformatic Data Mining. mSystems. 4(3). 6 indexed citations
14.
Aguiar, Jennifer A., Briallen Lobb, Ryan D. Huff, et al.. (2019). The impact of cigarette smoke exposure, COPD, or asthma status on ABC transporter gene expression in human airway epithelial cells. Scientific Reports. 9(1). 153–153. 32 indexed citations
15.
Mendler, Kerrin, Han Chen, Donovan H. Parks, et al.. (2019). AnnoTree: visualization and exploration of a functionally annotated microbial tree of life. Nucleic Acids Research. 47(9). 4442–4448. 179 indexed citations
16.
Lobb, Briallen, Anthony A. Adegoke, Kesen Ma, Andrew C. Doxey, & Olayinka Ayobami Aiyegoro. (2018). Metagenomic Sequencing of Wastewater from a South African Research Farm. Microbiology Resource Announcements. 7(16). 3 indexed citations
17.
Lobb, Briallen, et al.. (2018). Draft Genome Sequences of Two Novel Cellulolytic Streptomyces Strains Isolated from South African Rhizosphere Soil. Genome Announcements. 6(26). 7 indexed citations
18.
Lobb, Briallen & Andrew C. Doxey. (2016). Novel function discovery through sequence and structural data mining. Current Opinion in Structural Biology. 38. 53–61. 27 indexed citations
19.
Lobb, Briallen, Daniel Kurtz, Gabriel Moreno‐Hagelsieb, & Andrew C. Doxey. (2015). Remote homology and the functions of metagenomic dark matter. Frontiers in Genetics. 6. 234–234. 25 indexed citations
20.
Lobb, Briallen, et al.. (2015). MetAnnotate: function-specific taxonomic profiling and comparison of metagenomes. BMC Biology. 13(1). 92–92. 30 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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