Matthew B. Biggs

649 total citations
11 papers, 434 citations indexed

About

Matthew B. Biggs is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Matthew B. Biggs has authored 11 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Ecology. Recurrent topics in Matthew B. Biggs's work include Microbial Metabolic Engineering and Bioproduction (4 papers), Bioinformatics and Genomic Networks (3 papers) and Gut microbiota and health (3 papers). Matthew B. Biggs is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (4 papers), Bioinformatics and Genomic Networks (3 papers) and Gut microbiota and health (3 papers). Matthew B. Biggs collaborates with scholars based in United States and United Kingdom. Matthew B. Biggs's co-authors include Jason A. Papin, Glynis L. Kolling, Gregory L. Medlock, Steven N. Steinway, Thomas P. Loughran, Réka Albert, Thomas J. Moutinho, Jonathan R. Swann, Hannah Lees and Daniel Lindsay and has published in prestigious journals such as Bioinformatics, PLoS ONE and The ISME Journal.

In The Last Decade

Matthew B. Biggs

11 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew B. Biggs United States	9	309	72	67	52	34	11	434
Teng Wang China	11	248 0.8×	29 0.4×	44 0.7×	47 0.9×	32 0.9×	24	432
Ferenc Marincs Hungary	11	212 0.7×	136 1.9×	50 0.7×	27 0.5×	27 0.8×	22	385
Matthew G. Durrant United States	11	460 1.5×	69 1.0×	21 0.3×	75 1.4×	27 0.8×	16	674
Chuan Dong China	12	278 0.9×	44 0.6×	29 0.4×	50 1.0×	6 0.2×	33	423
Robert Davey United Kingdom	12	306 1.0×	206 2.9×	30 0.4×	83 1.6×	52 1.5×	26	580
Haidong Yi United States	6	275 0.9×	90 1.3×	52 0.8×	116 2.2×	46 1.4×	14	416
Mingjuan Yang China	12	167 0.5×	82 1.1×	36 0.5×	18 0.3×	21 0.6×	37	367
Yan Lin China	12	153 0.5×	150 2.1×	25 0.4×	27 0.5×	93 2.7×	52	479
Alex J. H. Fedorec United Kingdom	12	332 1.1×	44 0.6×	128 1.9×	84 1.6×	49 1.4×	19	504

Countries citing papers authored by Matthew B. Biggs

Since Specialization

Citations

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

Fields of papers citing papers by Matthew B. Biggs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew B. Biggs. 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 Matthew B. Biggs. The network helps show where Matthew B. Biggs may publish in the future.

Co-authorship network of co-authors of Matthew B. Biggs

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

All Works

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11 of 11 papers shown

Twizeyimana, M., et al.. (2023). Diverse environmental bacteria displaying activity against Phakopsora pachyrhizi, the cause of soybean rust. Frontiers in Plant Science. 14. 1080116–1080116. 10 indexed citations

Biggs, Matthew B., et al.. (2021). Genomics- and Machine Learning-Accelerated Discovery of Biocontrol Bacteria. Phytobiomes Journal. 5(4). 452–463. 7 indexed citations

Biggs, Matthew B. & Jason A. Papin. (2017). Managing uncertainty in metabolic network structure and improving predictions using EnsembleFBA. PLoS Computational Biology. 13(3). e1005413–e1005413. 32 indexed citations

Liu, Angela, et al.. (2017). Growth-altering microbial interactions are responsive to chemical context. PLoS ONE. 12(3). e0164919–e0164919. 13 indexed citations

Moutinho, Thomas J., John Panagides, Matthew B. Biggs, et al.. (2017). Novel co-culture plate enables growth dynamic-based assessment of contact-independent microbial interactions. PLoS ONE. 12(8). e0182163–e0182163. 21 indexed citations

Biggs, Matthew B., Gregory L. Medlock, Thomas J. Moutinho, et al.. (2016). Systems-level metabolism of the altered Schaedler flora, a complete gut microbiota. The ISME Journal. 11(2). 426–438. 54 indexed citations

Steinway, Steven N., Matthew B. Biggs, Thomas P. Loughran, Jason A. Papin, & Réka Albert. (2015). Inference of Network Dynamics and Metabolic Interactions in the Gut Microbiome. PLoS Computational Biology. 11(6). e1004338–e1004338. 99 indexed citations

Biggs, Matthew B., Gregory L. Medlock, Glynis L. Kolling, & Jason A. Papin. (2015). Metabolic network modeling of microbial communities. WIREs Systems Biology and Medicine. 7(5). 317–334. 85 indexed citations

Biggs, Matthew B. & Jason A. Papin. (2015). Metabolic network-guided binning of metagenomic sequence fragments. Bioinformatics. 32(6). 867–874. 7 indexed citations

10.

Biggs, Matthew B. & Jason A. Papin. (2013). Novel Multiscale Modeling Tool Applied to Pseudomonas aeruginosa Biofilm Formation. PLoS ONE. 8(10). e78011–e78011. 58 indexed citations

11.

Crook, Matthew B., Daniel Lindsay, Matthew B. Biggs, et al.. (2012). Rhizobial Plasmids That Cause Impaired Symbiotic Nitrogen Fixation and Enhanced Host Invasion. Molecular Plant-Microbe Interactions. 25(8). 1026–1033. 48 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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