Keith N. Egger

2.5k citations
59 papers · 2.1k · h-index 30

Impact in

Papers in

    • Mycorrhizal Fungi and Plant Interactions 35
    • Polysaccharides and Plant Cell Walls 4
    • Plant Pathogens and Fungal Diseases 19

Keith N. Egger

59 papers receiving 1.9k citations

Peers

Keith N. Egger
Comparison fields: 5 of 86
  • Cell Biology 759
  • Insect Science 575
  • Plant Science 1.6k
  • Ecology, Evolution, Behavior and Systematics 516
  • Pharmacology 360
Replace Hirotoshi Sato with:
Hirotoshi Sato Japan
Trude Vrålstad Norway
M. Lalonde Canada
Tor Carlsen Norway
Derek Peršoh Germany
GA Chilvers Australia
Paul Widden Canada
Ursula Eberhardt Germany
Jessie Uehling United States
Nancy S. Weber United States
Keith N. Egger relative to Hirotoshi Sato Japan Hirotoshi Sato's profile →
Citations per field
00.5×1.5×1.9×
Hirotoshi Sato · 1×
Citations per year

Countries citing papers authored by Keith N. Egger

Since Specialization
Citations

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

Fields of papers citing papers by Keith N. Egger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith N. Egger. 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 Keith N. Egger. The network helps show where Keith N. Egger may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995139
2 200185
3 199283
4 199883
5 199382
6 200482
7 199780
8 199870
9 199570
10 201166
11 200465
12 198662
13 198661
14 200858
15 200157
16 201257
17 200751
18 199345
19 199944
20 199839

About Keith N. Egger

Keith N. Egger is a scholar working on Plant Science, Cell Biology, Insect Science, Pharmacology and Ecology, Evolution, Behavior and Systematics, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (35 papers), Plant Pathogens and Fungal Diseases (19 papers), Forest Ecology and Biodiversity Studies (18 papers), Fungal Biology and Applications (16 papers), Lichen and fungal ecology (11 papers), Climate change and permafrost (5 papers), Microbial Community Ecology and Physiology (5 papers) and Polysaccharides and Plant Cell Walls (4 papers). The work is most often cited by research in Cell Biology (759 citations), Insect Science (575 citations), Plant Science (1.6k citations), Ecology, Evolution, Behavior and Systematics (516 citations) and Pharmacology (360 citations). Keith N. Egger has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Hugues B. Massicotte, Lynne Sigler, Randolph S. Currah, Linda E. Tackaberry, John E. Norman, Kei E. Fujimura, Julie R. Deslippe, Greg H. R. Henry, Sarah Hambleton and David S. Hibbett. Their work appears in journals such as Mycologia, Canadian Journal of Forest Research, Mycorrhiza, Canadian Journal of Microbiology and The ISME Journal.

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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