J. De Buyser

59 total papers · 1.6k total citations
45 papers, 1.1k citations indexed

About

J. De Buyser is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, J. De Buyser has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 42 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in J. De Buyser's work include Plant tissue culture and regeneration (41 papers), Plant Genetic and Mutation Studies (19 papers) and Chromosomal and Genetic Variations (17 papers). J. De Buyser is often cited by papers focused on Plant tissue culture and regeneration (41 papers), Plant Genetic and Mutation Studies (19 papers) and Chromosomal and Genetic Variations (17 papers). J. De Buyser collaborates with scholars based in France, United Kingdom and United States. J. De Buyser's co-authors include Yves Henry, Philippe Vain, J. W. Snape, Caroline Hartmann, Andrei V. Rode, Emmanuelle Picard, Philippe Lonnet, Bernard Lejeune, Denis Falconet and Françis Quétier and has published in prestigious journals such as PLANT PHYSIOLOGY, Biotechnology Advances and Theoretical and Applied Genetics.

In The Last Decade

J. De Buyser

43 papers receiving 974 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. De Buyser 987 975 112 99 39 45 1.1k
J. F. Petolino 1.1k 1.2× 1.1k 1.1× 105 0.9× 245 2.5× 36 0.9× 38 1.3k
Annamaria Genga 757 0.8× 1.1k 1.1× 109 1.0× 73 0.7× 25 0.6× 34 1.3k
G. W. Schaeffer 776 0.8× 846 0.9× 59 0.5× 108 1.1× 18 0.5× 57 968
L. Cistué 622 0.6× 916 0.9× 215 1.9× 81 0.8× 62 1.6× 34 1.0k
J. Zimny 769 0.8× 887 0.9× 62 0.6× 160 1.6× 53 1.4× 63 987
R. Ramamoorthy 692 0.7× 912 0.9× 105 0.9× 64 0.6× 37 0.9× 26 1.1k
Diego Albani 753 0.8× 960 1.0× 55 0.5× 83 0.8× 33 0.8× 30 1.1k
Hisabumi Takase 779 0.8× 929 1.0× 83 0.7× 135 1.4× 42 1.1× 48 1.3k
Seibi Oka 921 0.9× 1.2k 1.3× 207 1.8× 114 1.2× 16 0.4× 45 1.4k
Ilga Winicov 852 0.9× 902 0.9× 44 0.4× 35 0.4× 45 1.2× 50 1.3k

Countries citing papers authored by J. De Buyser

Since Specialization
Citations

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

Fields of papers citing papers by J. De Buyser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. De Buyser

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