Veronica M. Hearn

56 total papers · 1.3k total citations
46 papers, 1.0k citations indexed

About

Veronica M. Hearn is a scholar working on Infectious Diseases, Molecular Biology and Plant Science. According to data from OpenAlex, Veronica M. Hearn has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 21 papers in Molecular Biology and 19 papers in Plant Science. Recurrent topics in Veronica M. Hearn's work include Antifungal resistance and susceptibility (24 papers), Mycotoxins in Agriculture and Food (15 papers) and Glycosylation and Glycoproteins Research (13 papers). Veronica M. Hearn is often cited by papers focused on Antifungal resistance and susceptibility (24 papers), Mycotoxins in Agriculture and Food (15 papers) and Glycosylation and Glycoproteins Research (13 papers). Veronica M. Hearn collaborates with scholars based in United Kingdom, Nepal and United States. Veronica M. Hearn's co-authors include D. W. R. Mackenzie, Elaine V. Wilson, Winifred M. Watkins, J. H. Sietsma, David J. Adams, M Franco, J. P. Latgé, David Pincus, Derek J. Sullivan and David C. Coleman and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Clinical Microbiology and Infection and Immunity.

In The Last Decade

Veronica M. Hearn

45 papers receiving 963 citations

Author Peers

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

Author Last Decade Papers Cites
Veronica M. Hearn 544 371 369 285 144 46 1.0k
Rémi Beau 501 0.9× 270 0.7× 533 1.4× 378 1.3× 96 0.7× 39 1.1k
Fabrice N. Gravelat 533 1.0× 244 0.7× 542 1.5× 393 1.4× 113 0.8× 25 1.1k
Andoni Ramirez‐Garcia 523 1.0× 290 0.8× 345 0.9× 212 0.7× 140 1.0× 46 1.0k
Tetsuhiro Matsuzawa 424 0.8× 391 1.1× 244 0.7× 335 1.2× 372 2.6× 46 1.2k
Jean-Philippe Bouchara 660 1.2× 513 1.4× 265 0.7× 330 1.2× 310 2.2× 25 1.2k
M.D. Holdom 287 0.5× 250 0.7× 256 0.7× 208 0.7× 106 0.7× 17 841
Azusa Takahashi‐Nakaguchi 403 0.7× 273 0.7× 348 0.9× 208 0.7× 123 0.9× 63 1.1k
Marcin G. Fraczek 723 1.3× 436 1.2× 303 0.8× 196 0.7× 180 1.3× 24 1.1k
F. W. Chattaway 327 0.6× 270 0.7× 318 0.9× 153 0.5× 111 0.8× 35 904
Bruno Philippe 731 1.3× 438 1.2× 308 0.8× 248 0.9× 93 0.6× 20 1.1k

Countries citing papers authored by Veronica M. Hearn

Since Specialization
Citations

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

Fields of papers citing papers by Veronica M. Hearn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veronica M. Hearn. 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 Veronica M. Hearn. The network helps show where Veronica M. Hearn may publish in the future.

Co-authorship network of co-authors of Veronica M. Hearn

This figure shows the co-authorship network connecting the top 25 collaborators of Veronica M. Hearn. A scholar is included among the top collaborators of Veronica M. Hearn 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 Veronica M. Hearn. Veronica M. Hearn 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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