Matthew S. Burriesci

833 total citations
7 papers, 523 citations indexed

About

Matthew S. Burriesci is a scholar working on Ecology, Molecular Biology and Oceanography. According to data from OpenAlex, Matthew S. Burriesci has authored 7 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, 2 papers in Molecular Biology and 2 papers in Oceanography. Recurrent topics in Matthew S. Burriesci's work include Coral and Marine Ecosystems Studies (4 papers), Marine Sponges and Natural Products (2 papers) and Algal biology and biofuel production (2 papers). Matthew S. Burriesci is often cited by papers focused on Coral and Marine Ecosystems Studies (4 papers), Marine Sponges and Natural Products (2 papers) and Algal biology and biofuel production (2 papers). Matthew S. Burriesci collaborates with scholars based in United States and Australia. Matthew S. Burriesci's co-authors include John R. Pringle, Erik Lehnert, Theodore K. Raab, Devaki Bhaya, Morgan E. Mouchka, Natalya D. Gallo, Jodi Schwarz, Kenlee Nakasugi, Carlo Caruso and Cory J. Krediet and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Bacteriology.

In The Last Decade

Matthew S. Burriesci

7 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew S. Burriesci United States	7	400	181	115	110	68	7	523
Elizabeth A. Hambleton Germany	11	542 1.4×	223 1.2×	182 1.6×	141 1.3×	86 1.3×	12	697
Carlo Caruso United States	11	372 0.9×	236 1.3×	79 0.7×	188 1.7×	41 0.6×	17	583
Raúl A. González‐Pech United States	12	390 1.0×	173 1.0×	111 1.0×	179 1.6×	58 0.9×	15	511
Sheila A. Kitchen United States	12	452 1.1×	221 1.2×	85 0.7×	78 0.7×	86 1.3×	28	565
Camille Daniels Saudi Arabia	8	468 1.2×	243 1.3×	81 0.7×	70 0.6×	130 1.9×	12	594
Patricia E. Thomé Mexico	14	613 1.5×	491 2.7×	74 0.6×	145 1.3×	59 0.9×	26	800
Steven D. Quistad United States	10	266 0.7×	123 0.7×	72 0.6×	76 0.7×	93 1.4×	12	382
Anthony J. Bellantuono United States	9	432 1.1×	265 1.5×	97 0.8×	57 0.5×	86 1.3×	25	528
Morgan E. Mouchka United States	6	424 1.1×	204 1.1×	124 1.1×	61 0.6×	125 1.8×	6	492
Sarit Karako‐Lampert Israel	10	387 1.0×	237 1.3×	89 0.8×	82 0.7×	42 0.6×	19	519

Countries citing papers authored by Matthew S. Burriesci

Since Specialization

Citations

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

Fields of papers citing papers by Matthew S. Burriesci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew S. Burriesci

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

All Works

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7 of 7 papers shown

1.

Krediet, Cory J., et al.. (2015). Rapid, Precise, and Accurate Counts of Symbiodinium Cells Using the Guava Flow Cytometer, and a Comparison to Other Methods. PLoS ONE. 10(8). e0135725–e0135725. 41 indexed citations

2.

Lehnert, Erik, Morgan E. Mouchka, Matthew S. Burriesci, et al.. (2013). Extensive Differences in Gene Expression Between Symbiotic and Aposymbiotic Cnidarians. G3 Genes Genomes Genetics. 4(2). 277–295. 135 indexed citations

3.

Lehnert, Erik, Matthew S. Burriesci, & John R. Pringle. (2012). Developing the anemone Aiptasia as a tractable model for cnidarian-dinoflagellate symbiosis: the transcriptome of aposymbiotic A. pallida. BMC Genomics. 13(1). 271–271. 83 indexed citations

4.

Burriesci, Matthew S., Theodore K. Raab, & John R. Pringle. (2012). Evidence that glucose is the major transferred metabolite in dinoflagellate–cnidarian symbiosis. Journal of Experimental Biology. 215(19). 3467–3477. 170 indexed citations

5.

Burriesci, Matthew S., Erik Lehnert, & John R. Pringle. (2012). Fulcrum: condensing redundant reads from high-throughput sequencing studies. Bioinformatics. 28(10). 1324–1327. 27 indexed citations

6.

Burriesci, Matthew S. & Devaki Bhaya. (2008). Tracking phototactic responses and modeling motility of Synechocystis sp. strain PCC6803. Journal of Photochemistry and Photobiology B Biology. 91(2-3). 77–86. 37 indexed citations

7.

Bhaya, Devaki, et al.. (2006). Phototaxis and Impaired Motility in Adenylyl Cyclase and Cyclase Receptor Protein Mutants ofSynechocystissp. Strain PCC 6803. Journal of Bacteriology. 188(20). 7306–7310. 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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