Daniel Richard-Molard
- Plant Science top 5%
- Cell Biology top 5%
- Food Science top 10%
- Molecular Biology
- Nutrition and Dietetics
- Co-authors
- B. CahagnierDominique MelcionBénédicte BakanPierre FrasseL PinsonPaul ColonnaCarlos A. CamargoAlain Buléon
- Topics
- Mycotoxins in Agriculture and Food (9 papers)Plant Pathogens and Fungal Diseases (5 papers)Food composition and properties (3 papers)
In The Last Decade
Daniel Richard-Molard
16 papers receiving 504 citations
Peers
Comparison fields: 5 of 61
- Plant Science 445
- Cell Biology 223
- Food Science 129
- Molecular Biology 101
- Nutrition and Dietetics 81
Countries citing papers authored by Daniel Richard-Molard
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | Possible role of plant phenolics in the production of trichothecenes by Fusarium graminearum strains on different fractions of maize kernels | 3 |
| 3 | 47 | |
| 4 | 57 | |
| 5 | 143 | |
| 6 | 42 | |
| 7 | 16 | |
| 8 | 55 | |
| 9 | 31 | |
| 10 | 8 | |
| 11 | 61 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | Functional properties of sour Cassava (Manihot utilissima) starch : Polvilho Azedo | 7 |
| 15 | 46 | |
| 16 | 14 |
About Daniel Richard-Molard
Daniel Richard-Molard is a scholar working on Cell Biology, Plant Science and Nutrition and Dietetics, having authored 16 papers that have together received 562 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (9 papers), Plant Pathogens and Fungal Diseases (5 papers) and Food composition and properties (3 papers). The work is most often cited by research in Cell Biology (223 citations), Plant Science (445 citations) and Food Science (129 citations). Daniel Richard-Molard has collaborated with scholars based in France, Morocco and Canada. Frequent co-authors include B. Cahagnier, Dominique Melcion, Bénédicte Bakan, Pierre Frasse, L Pinson, Paul Colonna, Carlos A. Camargo, Alain Buléon, Elisabeth Fournier and Yves Brygoo. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Agricultural and Food Chemistry and Journal of the Science of Food and Agriculture.
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.