Tannis Beardmore

927 citations
32 papers · 669 · h-index 13

Impact in

Papers in

    • Seed Germination and Physiology 10
    • Plant Molecular Biology Research 4
    • Plant Virus Research Studies 3
    • Plant tissue culture and regeneration 10

Tannis Beardmore

31 papers receiving 617 citations

Peers

Tannis Beardmore
Comparison fields: 5 of 63
  • Ecological Modeling 118
  • Nature and Landscape Conservation 200
  • Plant Science 311
  • Global and Planetary Change 172
  • Endocrinology 35
Replace J. Buiteveld with:
J. Buiteveld Netherlands
K. D. Jermstad United States
Anna K. Jasiñska Poland
Monika Dering Poland
William S. Dvorak United States
Shannon Dillon Australia
Katharina B. Budde Germany
Alexis A. Ducousso France
В. Л. Семериков Russia
Sándor Bordács Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Tannis Beardmore

Since Specialization
Citations

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

Fields of papers citing papers by Tannis Beardmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012216
2 200558
3 201156
4 200452
5 200025
6 200523
7 200423
8 200620
9 201419
10 199618
11 199516
12 201416
13 200115
14 201412
15 200812
16 200011
17 201510
18 199510
19 20008
20 20118

About Tannis Beardmore

Tannis Beardmore is a scholar working on Plant Science, Molecular Biology, Ecology, Endocrinology and Agronomy and Crop Science, having authored 32 papers that have together received 669 indexed citations. Recurring topics across this work include Seed Germination and Physiology (10 papers), Plant tissue culture and regeneration (10 papers), Plant and Fungal Interactions Research (9 papers), Forest Insect Ecology and Management (7 papers), Plant Molecular Biology Research (4 papers), Bioenergy crop production and management (4 papers), Species Distribution and Climate Change (4 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Ecological Modeling (118 citations), Nature and Landscape Conservation (200 citations), Plant Science (311 citations), Global and Planetary Change (172 citations) and Endocrinology (35 citations). Tannis Beardmore has collaborated with scholars based in Canada, Sweden and Australia. Frequent co-authors include Richard S. Winder, Helen H. Tai, Kees van Frankenhuyzen, John Pedlar, Louis R. Iverson, Jean Beaulieu, Daniel W. McKenney, Gregory A. O’Neill, Isabelle Aubin and Catherine Ste-Marie. Their work appears in journals such as Canadian Journal of Forest Research, The Forestry Chronicle, Tree Physiology, Ecology and Evolution and BioScience.

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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