Linda E. Tackaberry

33 total papers · 685 total citations
29 papers, 504 citations indexed

About

Linda E. Tackaberry is a scholar working on Plant Science, Pharmacology and Insect Science. According to data from OpenAlex, Linda E. Tackaberry has authored 29 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 10 papers in Pharmacology and 10 papers in Insect Science. Recurrent topics in Linda E. Tackaberry's work include Mycorrhizal Fungi and Plant Interactions (17 papers), Fungal Biology and Applications (10 papers) and Forest Ecology and Biodiversity Studies (10 papers). Linda E. Tackaberry is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (17 papers), Fungal Biology and Applications (10 papers) and Forest Ecology and Biodiversity Studies (10 papers). Linda E. Tackaberry collaborates with scholars based in Canada, United States and Hong Kong. Linda E. Tackaberry's co-authors include Hugues B. Massicotte, Keith N. Egger, Randy Molina, Michael P. Amaranthus, Jane E. Smith, Chow H. Lee, Lewis Melville, Susan J. Robertson, R. L. Peterson and Wai Ming Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Carbohydrate Polymers.

In The Last Decade

Linda E. Tackaberry

29 papers receiving 465 citations

Author Peers

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

Author Last Decade Papers Cites
Linda E. Tackaberry 356 185 112 91 86 29 504
Marcin Pietras 414 1.2× 158 0.9× 146 1.3× 101 1.1× 90 1.0× 30 538
Leszek Karliński 401 1.1× 160 0.9× 109 1.0× 84 0.9× 73 0.8× 25 485
Patricia Guadarrama 414 1.2× 169 0.9× 66 0.6× 115 1.3× 97 1.1× 33 491
P. Chakravarty 449 1.3× 187 1.0× 73 0.7× 109 1.2× 112 1.3× 39 589
Toshizumi Miyamoto 266 0.7× 162 0.9× 175 1.6× 62 0.7× 123 1.4× 48 467
Edward Hacskaylo 394 1.1× 143 0.8× 67 0.6× 132 1.5× 111 1.3× 34 467
Carolina Barroetaveña 398 1.1× 172 0.9× 105 0.9× 191 2.1× 98 1.1× 46 494
Franz‐Sebastian Krah 324 0.9× 275 1.5× 170 1.5× 35 0.4× 56 0.7× 29 483
B. Zak 463 1.3× 203 1.1× 112 1.0× 145 1.6× 95 1.1× 19 512
Ana María de Miguel 421 1.2× 239 1.3× 108 1.0× 146 1.6× 68 0.8× 21 455

Countries citing papers authored by Linda E. Tackaberry

Since Specialization
Citations

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

Fields of papers citing papers by Linda E. Tackaberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda E. Tackaberry. 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 Linda E. Tackaberry. The network helps show where Linda E. Tackaberry may publish in the future.

Co-authorship network of co-authors of Linda E. Tackaberry

This figure shows the co-authorship network connecting the top 25 collaborators of Linda E. Tackaberry. A scholar is included among the top collaborators of Linda E. Tackaberry 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 Linda E. Tackaberry. Linda E. Tackaberry 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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