Donna Perkins-Balding

723 citations
14 papers · 543 indexed · h-index 9
Topics
Bacterial Genetics and Biotechnology (4 papers)Subterranean biodiversity and taxonomy (4 papers)Aquatic Invertebrate Ecology and Behavior (4 papers)
Partner nations
United StatesFrance

In The Last Decade

Donna Perkins-Balding

14 papers receiving 529 citations

Peers

Donna Perkins-Balding
Comparison fields: 5 of 63
  • Molecular Biology 296
  • Genetics 141
  • Microbiology 114
  • Ecology 96
  • Plant Science 93
Replace Kateřina Procházková with:
Kateřina Procházková Czechia
Estelle Garénaux France
Lingxia Jiang United States
Grażyna Płucienniczak Poland
Zhen Cao United States
Jason R. Hunt United States
Jolyon Holdstock United Kingdom
R. L. Thune United States
Ingeborg Sonntag Germany
Keith Bishop United Kingdom
Donna Perkins-Balding relative to Kateřina Procházková Czechia Kateřina Procházková's profile →
Citations per field
00.5×1.7×
Kateřina Procházková · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 7
2 7
3 4
4 8
5 5
6 111
7 20
8 12
9 120
10 30
11 110
12 45
13 23
14 41

About Donna Perkins-Balding

Donna Perkins-Balding is a scholar working on Paleontology, Endocrinology and Microbiology, having authored 14 papers that have together received 543 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Subterranean biodiversity and taxonomy (4 papers) and Aquatic Invertebrate Ecology and Behavior (4 papers). The work is most often cited by research in Microbiology (114 citations), Endocrinology (76 citations) and Molecular Medicine (48 citations). Donna Perkins-Balding has collaborated with scholars based in United States and France. Frequent co-authors include Igor Stojiljković, James G. Thomson, Yuan‐Yeu Yau, Yueju Wang, A C Glasgow, June R. Scott, Harry Sakellaris, Michael T. Baer, Eric A. Lazo-Wasem and H. Steven Seifert. Their work appears in journals such as Journal of Bacteriology, Microbiology and Molecular Biology Reviews and Molecular Microbiology.

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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