M. Fourmann

706 total citations
8 papers, 517 citations indexed

About

M. Fourmann is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, M. Fourmann has authored 8 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in M. Fourmann's work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Nitrogen and Sulfur Effects on Brassica (2 papers) and Genetics and Plant Breeding (2 papers). M. Fourmann is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (3 papers), Nitrogen and Sulfur Effects on Brassica (2 papers) and Genetics and Plant Breeding (2 papers). M. Fourmann collaborates with scholars based in France and Morocco. M. Fourmann's co-authors include Régine Delourme, Doménica Manicacci, P. Barret, Létizia Camus‐Kulandaivelu, Alain Charcosset, Pierre Dubreuil, G. Pelletier, Delphine Madur, Michel Renard and Valérie Combes and has published in prestigious journals such as PLANT PHYSIOLOGY, Genetics and Theoretical and Applied Genetics.

In The Last Decade

M. Fourmann

8 papers receiving 501 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Fourmann France	8	435	210	174	63	27	8	517
Sahana Manoli Australia	10	491 1.1×	222 1.1×	207 1.2×	34 0.5×	12 0.4×	13	542
Jessica Dalton‐Morgan Australia	11	373 0.9×	135 0.6×	221 1.3×	25 0.4×	9 0.3×	15	431
Harmeet Singh Chawla Germany	11	489 1.1×	181 0.9×	278 1.6×	21 0.3×	18 0.7×	18	569
Urs Hähnel Germany	8	416 1.0×	55 0.3×	241 1.4×	33 0.5×	12 0.4×	12	507
Jiangsheng Wu China	10	337 0.8×	84 0.4×	231 1.3×	45 0.7×	10 0.4×	13	400
W. C. Kennard United States	10	503 1.2×	264 1.3×	229 1.3×	14 0.2×	7 0.3×	10	580
Kangjing Liang China	10	398 0.9×	118 0.6×	179 1.0×	10 0.2×	16 0.6×	31	451
Roshi Shrestha United Kingdom	11	568 1.3×	178 0.8×	168 1.0×	7 0.1×	26 1.0×	14	591
Barbara Kusterer Germany	12	541 1.2×	384 1.8×	140 0.8×	8 0.1×	48 1.8×	19	623
Yongzhong Wu China	7	306 0.7×	51 0.2×	254 1.5×	14 0.2×	19 0.7×	10	358

Countries citing papers authored by M. Fourmann

Since Specialization

Citations

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

Fields of papers citing papers by M. Fourmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Fourmann

This figure shows the co-authorship network connecting the top 25 collaborators of M. Fourmann. A scholar is included among the top collaborators of M. Fourmann 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 M. Fourmann. M. Fourmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Manicacci, Doménica, Létizia Camus‐Kulandaivelu, M. Fourmann, et al.. (2009). Epistatic Interactions betweenOpaque2Transcriptional Activator and Its Target GeneCyPPDK1Control Kernel Trait Variation in Maize . PLANT PHYSIOLOGY. 150(1). 506–520. 43 indexed citations

2.

Deniot, Gwenaëlle, et al.. (2007). Candidate genes for quantitative resistance to Mycosphaerella pinodes in pea (Pisum sativum L.). Theoretical and Applied Genetics. 114(6). 971–984. 61 indexed citations

3.

Camus‐Kulandaivelu, Létizia, Delphine Madur, Valérie Combes, et al.. (2006). Maize Adaptation to Temperate Climate: Relationship Between Population Structure and Polymorphism in the Dwarf8 Gene. Genetics. 172(4). 2449–2463. 178 indexed citations

4.

Manicacci, Doménica, et al.. (2004). Genetic diversity associated with variation in silage corn digestibility for three O-methyltransferase genes involved in lignin biosynthesis. Theoretical and Applied Genetics. 110(1). 126–135. 40 indexed citations

5.

Fourmann, M., P. Barret, Nicolas Froger, et al.. (2002). From Arabidopsis thaliana to Brassica napus: development of amplified consensus genetic markers (ACGM) for construction of a gene map. Theoretical and Applied Genetics. 105(8). 1196–1206. 42 indexed citations

6.

Fourmann, M., Florence Charlot, Nicole Froger, Régine Delourme, & Dominique Brunel. (2001). Expression, mapping, and genetic variability ofBrassica napusdisease resistance gene analogues. Genome. 44(6). 1083–1099. 39 indexed citations

7.

Fourmann, M., Florence Charlot, Nicole Froger, Régine Delourme, & Dominique Brunel. (2001). Expression, mapping, and genetic variability of <i>Brassica napus</i> disease resistance gene analogues. Genome. 44(6). 1083–1099. 8 indexed citations

8.

Fourmann, M., P. Barret, Michel Renard, et al.. (1998). The two genes homologous to Arabidopsis FAE1 co-segregate with the two loci governing erucic acid content in Brassica napus. Theoretical and Applied Genetics. 96(6-7). 852–858. 106 indexed citations

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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