J. Ashby

39 total papers · 1.2k total citations
32 papers, 961 citations indexed

About

J. Ashby is a scholar working on Plant Science, Molecular Biology and Immunology. According to data from OpenAlex, J. Ashby has authored 32 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 10 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in J. Ashby's work include Plant Virus Research Studies (11 papers), Plant Disease Resistance and Genetics (7 papers) and Immune Cell Function and Interaction (6 papers). J. Ashby is often cited by papers focused on Plant Virus Research Studies (11 papers), Plant Disease Resistance and Genetics (7 papers) and Immune Cell Function and Interaction (6 papers). J. Ashby collaborates with scholars based in United Kingdom, France and Switzerland. J. Ashby's co-authors include Oleg Eremin, Manfred Heinlein, R.R.A. Coombs, Jacqueline Ferralli, Vitaly Boyko, Mark Seemanpillai, Paul Schellenbaum, A. Sambade, Sarah C. R. Lummis and Monika Fasler and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Nature Cell Biology.

In The Last Decade

J. Ashby

30 papers receiving 893 citations

Author Peers

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

Author Last Decade Papers Cites
J. Ashby 496 238 237 83 75 32 961
Jinsong Sheng 414 0.8× 426 1.8× 204 0.9× 23 0.3× 22 0.3× 29 1.2k
María Rosario Fernández‐Fernández 243 0.5× 899 3.8× 124 0.5× 33 0.4× 248 3.3× 24 1.2k
Qiwen Hu 419 0.8× 736 3.1× 58 0.2× 22 0.3× 35 0.5× 32 1.2k
Carlos C. Flores 472 1.0× 828 3.5× 110 0.5× 15 0.2× 38 0.5× 24 1.1k
Stephen J. Garger 353 0.7× 592 2.5× 116 0.5× 22 0.3× 17 0.2× 21 1.0k
Sylvia Müller 485 1.0× 571 2.4× 100 0.4× 31 0.4× 100 1.3× 27 1.1k
Jeremy Beauchamp 139 0.3× 293 1.2× 78 0.3× 66 0.8× 84 1.1× 23 822
Peng Nie 221 0.4× 687 2.9× 75 0.3× 51 0.6× 49 0.7× 24 1.0k
Philippe Leone 146 0.3× 724 3.0× 195 0.8× 130 1.6× 28 0.4× 27 1.2k
Todd A. Naumann 410 0.8× 723 3.0× 49 0.2× 40 0.5× 33 0.4× 47 1.0k

Countries citing papers authored by J. Ashby

Since Specialization
Citations

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

Fields of papers citing papers by J. Ashby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Ashby

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ashby. A scholar is included among the top collaborators of J. Ashby 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 J. Ashby. J. Ashby 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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