Margaret Barker

12 total papers · 1.2k total citations
6 papers, 487 citations indexed

About

Margaret Barker is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Margaret Barker has authored 6 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Ecology. Recurrent topics in Margaret Barker's work include Bacillus and Francisella bacterial research (4 papers), Identification and Quantification in Food (3 papers) and Yersinia bacterium, plague, ectoparasites research (2 papers). Margaret Barker is often cited by papers focused on Bacillus and Francisella bacterial research (4 papers), Identification and Quantification in Food (3 papers) and Yersinia bacterium, plague, ectoparasites research (2 papers). Margaret Barker collaborates with scholars based in United Kingdom, United States and Ireland. Margaret Barker's co-authors include Fergus G. Priest, Edward C. Holmes, Martin Maiden, Les Baillie, Xavier Didelot, Daniel Falush, Timothy D. Read, Élise Cachat, Colin Kennedy and John Barber and has published in prestigious journals such as Journal of Bacteriology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and FEMS Microbiology Letters.

In The Last Decade

Margaret Barker

6 papers receiving 476 citations

Author Peers

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

Author						Papers	Cites
Margaret Barker	420	175	150	58	51	6	487
I-Ting Huang	234 0.6×	151 0.9×	79 0.5×	21 0.4×	31 0.6×	4	459
Sabine Lechner	397 0.9×	149 0.9×	81 0.5×	117 2.0×	31 0.6×	11	551
Solveig Ravnum	383 0.9×	99 0.6×	147 1.0×	53 0.9×	23 0.5×	9	453
Peter G. Agron	271 0.6×	131 0.7×	100 0.7×	44 0.8×	24 0.5×	11	476
J Kreft	235 0.6×	115 0.7×	123 0.8×	137 2.4×	18 0.4×	12	445
Andreas Beranek	215 0.5×	75 0.4×	98 0.7×	34 0.6×	91 1.8×	10	456
Falk Kalamorz	316 0.8×	152 0.9×	247 1.6×	21 0.4×	13 0.3×	11	472
Yvonne G. Y. Chan	193 0.5×	59 0.3×	107 0.7×	38 0.7×	66 1.3×	11	532
Elisa T. Granato	270 0.6×	130 0.7×	197 1.3×	22 0.4×	28 0.5×	12	546
Corinne Fayolle	318 0.8×	60 0.3×	284 1.9×	33 0.6×	19 0.4×	10	542

Countries citing papers authored by Margaret Barker

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Barker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret Barker. 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 Margaret Barker. The network helps show where Margaret Barker may publish in the future.

Co-authorship network of co-authors of Margaret Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Barker. A scholar is included among the top collaborators of Margaret Barker 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 Margaret Barker. Margaret Barker 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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