Mark Ramsdale

1.6k citations
21 papers · 1.1k · h-index 13

Impact in

Papers in

    • Antifungal resistance and susceptibility 9
    • Fungal and yeast genetics research 3
    • Bacterial biofilms and quorum sensing 2
    • CRISPR and Genetic Engineering 2

Mark Ramsdale

20 papers receiving 1.0k citations

Peers

Mark Ramsdale
Comparison fields: 5 of 91
  • Infectious Diseases 495
  • Periodontics 91
  • Microbiology 80
  • Epidemiology 269
  • Plant Science 277
Replace Sascha Thewes with:
Sascha Thewes Germany
Matthew B. Lohse United States
Alessandra da Silva Dantas United Kingdom
Irene Castaño Mexico
Michelle D. Leach United Kingdom
Reeta P. Rao United States
Iuliana V. Ene United States
Matt Simison United States
Brice Enjalbert France
Mark Ramsdale relative to Sascha Thewes Germany Sascha Thewes's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Ramsdale

Since Specialization
Citations

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

Fields of papers citing papers by Mark Ramsdale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Ramsdale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Ramsdale Line = papers co-authored together Mark Ramsdale links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003348
2 2006127
3 2008103
4 200582
5 201878
6 200862
7 201543
8 200037
9 201135
10 200831
11 199418
12 201215
13 199614
14 200012
15 201612
16 199512
17 200110
18 20206
19 20242
20 20012

About Mark Ramsdale

Mark Ramsdale is a scholar working on Infectious Diseases, Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (9 papers), Fungal and yeast genetics research (3 papers), Plant and Biological Electrophysiology Studies (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Bacterial biofilms and quorum sensing (2 papers), Oral microbiology and periodontitis research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Infectious Diseases (495 citations), Periodontics (91 citations), Microbiology (80 citations), Epidemiology (269 citations) and Plant Science (277 citations). Mark Ramsdale has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Andrew J. Phillips, Ian Sudbery, Alistair J. P. Brown, Patricia L. Lakin‐Thomas, Claire Manson, A.D.M. Rayner, Howard F. Jenkinson, Angela H. Nobbs, Lindsay C. Dutton and Richard J. Lamont. Their work appears in journals such as New Phytologist, Proceedings of the National Academy of Sciences, iScience, Microbiology and Journal of Proteome Research.

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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