Nick D. Read

16.1k citations
142 papers · 8.7k indexed · h-index 52

Impact in

  • Plant Science top 0.2%
    • Plant-Microbe Interactions and Immunity
    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
  • Cell Biology top 0.5%
    • Plant Pathogens and Fungal Diseases

Papers in

Nick D. Read

139 papers receiving 8.5k citations

Peers

Nick D. Read
Comparison fields: 5 of 146
  • Plant Science 4.8k
  • Cell Biology 1.9k
  • Molecular Biology 5.4k
  • Pharmacology 1.1k
  • Microbiology 335
Replace Lawrence A. Kelley with:
Lawrence A. Kelley United Kingdom
Michael Remmert Germany
Fabian Sievers Ireland
Elisabeth Gasteiger Switzerland
Keith L. Williams Australia
Berl R. Oakley United States
James B Procter United Kingdom
Patrice Gouet France
Jeff Errington United Kingdom
Martin Steinegger South Korea
Nick D. Read relative to Lawrence A. Kelley United Kingdom Lawrence A. Kelley's profile →
Citations per field
00.5×1.5×2.2×
Lawrence A. Kelley · 1×
Citations per year

Countries citing papers authored by Nick D. Read

Since Specialization
Citations

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

Fields of papers citing papers by Nick D. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick D. Read. 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 Nick D. Read. The network helps show where Nick D. Read may publish in the future.

Co-authors

The 25 scholars most cited alongside Nick D. Read, 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 Nick D. Read Line = papers co-authored together Nick D. Read links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004469
2 1990391
3 2000346
4 1991279
5 2004266
6 2005207
7 1992191
8 2010186
9 2002173
10 2004170
11 1995158
12 1994151
13 1993145
14 2003143
15 2010143
16 2005142
17 2011133
18 2005129
19 2009128
20 2016127

About Nick D. Read

Nick D. Read is a scholar working on Cell Biology, Microbiology, Pharmacology, Plant Science and Molecular Biology, having authored 142 papers that have together received 8.7k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (38 papers), Fungal Biology and Applications (28 papers), Plant Reproductive Biology (27 papers), Plant Pathogens and Fungal Diseases (23 papers), Plant-Microbe Interactions and Immunity (18 papers), Mycorrhizal Fungi and Plant Interactions (15 papers), Protist diversity and phylogeny (14 papers) and Antifungal resistance and susceptibility (12 papers). The work is most often cited by research in Plant Science (4.8k citations), Cell Biology (1.9k citations), Molecular Biology (5.4k citations), Pharmacology (1.1k citations) and Microbiology (335 citations). Nick D. Read has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Anthony Trewavas, Simon Gilroy, Patrick C. Hickey, Alexander Lichius, M. Gabriela Roca, N. Louise Glass, Michael Freitag, Rui Malhó, Adokiye Berepiki and Mark D. Fricker. Their work appears in journals such as Fungal Genetics and Biology, Molecular Microbiology, Eukaryotic Cell, PLoS ONE and Journal of Microscopy.

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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