Donna Perkins-Balding

16 total papers · 721 total citations
14 papers, 542 citations indexed

About

Donna Perkins-Balding is a scholar working on Molecular Biology, Ecology and Paleontology. According to data from OpenAlex, Donna Perkins-Balding has authored 14 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Ecology and 4 papers in Paleontology. Recurrent topics in Donna Perkins-Balding's work include Bacterial Genetics and Biotechnology (4 papers), Subterranean biodiversity and taxonomy (4 papers) and Aquatic Invertebrate Ecology and Behavior (4 papers). Donna Perkins-Balding is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Subterranean biodiversity and taxonomy (4 papers) and Aquatic Invertebrate Ecology and Behavior (4 papers). Donna Perkins-Balding collaborates with scholars based in United States and France. Donna Perkins-Balding's co-authors include Igor Stojiljković, Yuan‐Yeu Yau, Yueju Wang, James G. Thomson, A C Glasgow, Harry Sakellaris, June R. Scott, Michael T. Baer, Eric A. Lazo-Wasem and Eric P. Skaar and has published in prestigious journals such as Journal of Bacteriology, Microbiology and Molecular Biology Reviews and Molecular Microbiology.

In The Last Decade

Donna Perkins-Balding

14 papers receiving 528 citations

Author Peers

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

Author Last Decade Papers Cites
Donna Perkins-Balding 295 141 114 96 93 14 542
Sheryl R. Lumbley 105 0.4× 101 0.7× 177 1.6× 119 1.2× 44 0.5× 10 558
N. R. Baker 348 1.2× 74 0.5× 43 0.4× 54 0.6× 144 1.5× 17 612
Yoan Konto‐Ghiorghi 271 0.9× 57 0.4× 76 0.7× 51 0.5× 64 0.7× 23 576
Matthew Schmerer 179 0.6× 75 0.5× 171 1.5× 237 2.5× 66 0.7× 26 520
Rong‐hua Yu 236 0.8× 138 1.0× 222 1.9× 35 0.4× 24 0.3× 20 560
Deborah M. Tobiason 206 0.7× 112 0.8× 236 2.1× 60 0.6× 27 0.3× 12 474
Oliver Hecht 298 1.0× 121 0.9× 136 1.2× 66 0.7× 19 0.2× 18 590
Batcha Tamilselvam 164 0.6× 77 0.5× 34 0.3× 57 0.6× 20 0.2× 11 489
Dorothée Müller 259 0.9× 119 0.8× 15 0.1× 98 1.0× 46 0.5× 18 534
Toon Swings 292 1.0× 173 1.2× 26 0.2× 70 0.7× 52 0.6× 14 451

Countries citing papers authored by Donna Perkins-Balding

Since Specialization
Citations

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

Fields of papers citing papers by Donna Perkins-Balding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna Perkins-Balding. 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 Donna Perkins-Balding. The network helps show where Donna Perkins-Balding may publish in the future.

Co-authorship network of co-authors of Donna Perkins-Balding

This figure shows the co-authorship network connecting the top 25 collaborators of Donna Perkins-Balding. A scholar is included among the top collaborators of Donna Perkins-Balding 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 Donna Perkins-Balding. Donna Perkins-Balding 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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