David G. Burns

10 total papers · 750 total citations
7 papers, 509 citations indexed

About

David G. Burns is a scholar working on Molecular Biology, Ecology and Environmental Chemistry. According to data from OpenAlex, David G. Burns has authored 7 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Ecology and 4 papers in Environmental Chemistry. Recurrent topics in David G. Burns's work include Microbial Community Ecology and Physiology (7 papers), Genomics and Phylogenetic Studies (5 papers) and Methane Hydrates and Related Phenomena (4 papers). David G. Burns is often cited by papers focused on Microbial Community Ecology and Physiology (7 papers), Genomics and Phylogenetic Studies (5 papers) and Methane Hydrates and Related Phenomena (4 papers). David G. Burns collaborates with scholars based in Australia, Japan and Germany. David G. Burns's co-authors include Peter H. Janssen, Mike Dyall‐Smith, H Camakaris, Masahiro Kamekura, Takashi Itoh, Michael L. Dyall‐Smith, Brendan E. Russ, Kate Porter, Grant J. Jensen and Francisco Rodríguez‐Valera and has published in prestigious journals such as Applied and Environmental Microbiology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and FEMS Microbiology Letters.

In The Last Decade

David G. Burns

7 papers receiving 497 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David G. Burns	400	382	106	31	29	7	509
H. N. M. Ross	306 0.8×	451 1.2×	84 0.8×	50 1.6×	32 1.1×	10	588
Melvin F. Siliakus	195 0.5×	299 0.8×	57 0.5×	28 0.9×	13 0.4×	8	541
Matthias Kopf	287 0.7×	486 1.3×	102 1.0×	13 0.4×	13 0.4×	13	614
Jayme Feyhl‐Buska	223 0.6×	187 0.5×	102 1.0×	35 1.1×	6 0.2×	8	452
Vladimir V. Yurkov	459 1.1×	362 0.9×	79 0.7×	39 1.3×	39 1.3×	7	608
Heidi S. Aronson	207 0.5×	179 0.5×	75 0.7×	38 1.2×	7 0.2×	11	471
Linda S. Thompson	357 0.9×	327 0.9×	53 0.5×	60 1.9×	4 0.1×	4	569
Karl O. Stetter	202 0.5×	386 1.0×	121 1.1×	39 1.3×	6 0.2×	8	583
Javier Paz-Yepes	233 0.6×	336 0.9×	57 0.5×	12 0.4×	9 0.3×	12	533
Adrienne L. Huston	216 0.5×	271 0.7×	67 0.6×	100 3.2×	7 0.2×	11	540

Countries citing papers authored by David G. Burns

Since Specialization

Citations

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

Fields of papers citing papers by David G. Burns

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Burns

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

All Works

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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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