Daniel Richard-Molard

64 total papers · 846 total citations
16 papers, 561 citations indexed

About

Daniel Richard-Molard is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Daniel Richard-Molard has authored 16 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Cell Biology and 5 papers in Molecular Biology. Recurrent topics in Daniel Richard-Molard's work include Mycotoxins in Agriculture and Food (9 papers), Plant Pathogens and Fungal Diseases (5 papers) and Fungal Biology and Applications (3 papers). Daniel Richard-Molard is often cited by papers focused on Mycotoxins in Agriculture and Food (9 papers), Plant Pathogens and Fungal Diseases (5 papers) and Fungal Biology and Applications (3 papers). Daniel Richard-Molard collaborates with scholars based in France, Morocco and Canada. Daniel Richard-Molard's co-authors include B. Cahagnier, Dominique Melcion, Bénédicte Bakan, Pierre Frasse, L Pinson, Paul Colonna, Carlos A. Camargo, Alain Buléon, Yves Brygoo and Elisabeth Fournier and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Agricultural and Food Chemistry and Journal of the Science of Food and Agriculture.

In The Last Decade

Daniel Richard-Molard

16 papers receiving 503 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Richard-Molard 444 222 130 101 82 16 561
Sibylle Farine 496 1.1× 359 1.6× 73 0.6× 208 2.1× 50 0.6× 26 632
Glória Maria Direito 428 1.0× 98 0.4× 115 0.9× 69 0.7× 33 0.4× 21 531
Clara Montesinos‐Herrero 389 0.9× 227 1.0× 182 1.4× 62 0.6× 85 1.0× 31 629
Juan Manuel Quiles 432 1.0× 126 0.6× 334 2.6× 175 1.7× 105 1.3× 25 675
Carina Félix 308 0.7× 223 1.0× 72 0.6× 135 1.3× 27 0.3× 33 552
Serena Muccilli 287 0.6× 103 0.5× 280 2.2× 170 1.7× 105 1.3× 18 586
W.G. Rathmell 502 1.1× 82 0.4× 57 0.4× 232 2.3× 68 0.8× 15 647
Tord E Möller 471 1.1× 91 0.4× 137 1.1× 59 0.6× 33 0.4× 17 533
R. L. Millar 563 1.3× 112 0.5× 53 0.4× 201 2.0× 45 0.5× 20 693
Ursula Hettwer 398 0.9× 160 0.7× 52 0.4× 69 0.7× 117 1.4× 9 546

Countries citing papers authored by Daniel Richard-Molard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Richard-Molard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Richard-Molard. 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 Daniel Richard-Molard. The network helps show where Daniel Richard-Molard may publish in the future.

Co-authorship network of co-authors of Daniel Richard-Molard

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Richard-Molard. A scholar is included among the top collaborators of Daniel Richard-Molard 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 Daniel Richard-Molard. Daniel Richard-Molard 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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