Henri Miteul

427 total citations
7 papers, 186 citations indexed

About

Henri Miteul is a scholar working on Plant Science, Genetics and Infectious Diseases. According to data from OpenAlex, Henri Miteul has authored 7 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 2 papers in Genetics and 0 papers in Infectious Diseases. Recurrent topics in Henri Miteul's work include Genetic and Environmental Crop Studies (5 papers), Plant Pathogens and Resistance (4 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). Henri Miteul is often cited by papers focused on Genetic and Environmental Crop Studies (5 papers), Plant Pathogens and Resistance (4 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). Henri Miteul collaborates with scholars based in France, United States and Uruguay. Henri Miteul's co-authors include Marie‐Laure Pilet‐Nayel, Alain Baranger, Christophe Jacquet, Maxime Bonhomme, Bernard Dumas, Ahmed Hajri, Yacine Badis, Jean‐Marie Prosperi, Gilles Boutet and Judith Burstin and has published in prestigious journals such as New Phytologist, Frontiers in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

Henri Miteul

7 papers receiving 184 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Henri Miteul France	6	175	27	17	16	14	7	186
Angélique Lesné France	9	277 1.6×	26 1.0×	36 2.1×	25 1.6×	9 0.6×	12	285
Gayan K. Kariyawasam United States	9	244 1.4×	51 1.9×	30 1.8×	20 1.3×	40 2.9×	15	261
Girma Tabor United States	7	149 0.9×	22 0.8×	33 1.9×	24 1.5×	46 3.3×	11	166
Beatrice Corsi United Kingdom	9	182 1.0×	52 1.9×	30 1.8×	17 1.1×	24 1.7×	10	192
Alisson Fernando Chioratto Brazil	9	332 1.9×	31 1.1×	21 1.2×	41 2.6×	24 1.7×	12	348
Shoushen Xu China	4	125 0.7×	53 2.0×	7 0.4×	19 1.2×	29 2.1×	7	140
Pedro Figueroa-López Mexico	6	170 1.0×	22 0.8×	10 0.6×	23 1.4×	71 5.1×	13	186
Shiksha Chaurasia India	9	252 1.4×	54 2.0×	15 0.9×	39 2.4×	29 2.1×	17	267
Meera Kumari Kar India	10	199 1.1×	49 1.8×	25 1.5×	4 0.3×	32 2.3×	18	214
Justine Thomas France	5	114 0.7×	23 0.9×	23 1.4×	20 1.3×	59 4.2×	5	136

Countries citing papers authored by Henri Miteul

Since Specialization

Citations

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

Fields of papers citing papers by Henri Miteul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henri Miteul

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

All Works

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7 of 7 papers shown

Boutet, Gilles, Angélique Lesné, Henri Miteul, et al.. (2023). Five Regions of the Pea Genome Co-Control Partial Resistance to D. pinodes, Tolerance to Frost, and Some Architectural or Phenological Traits. Genes. 14(7). 1399–1399. 3 indexed citations

Boutet, Gilles, Angélique Lesné, Henri Miteul, et al.. (2023). Advanced backcross QTL analysis and comparative mapping with RIL QTL studies and GWAS provide an overview of QTL and marker haplotype diversity for resistance to Aphanomyces root rot in pea (Pisum sativum). Frontiers in Plant Science. 14. 1189289–1189289. 10 indexed citations

Gallic, Jean‐François Le, Henri Miteul, Angélique Lesné, et al.. (2022). A major-effect genetic locus, ApRVII, controlling resistance against both adapted and non-adapted aphid biotypes in pea. Theoretical and Applied Genetics. 135(5). 1511–1528. 13 indexed citations

Bonhomme, Maxime, María Inés Fariello, Ahmed Hajri, et al.. (2019). A local score approach improves GWAS resolution and detects minor QTL: application to Medicago truncatula quantitative disease resistance to multiple Aphanomyces euteiches isolates. Heredity. 123(4). 517–531. 34 indexed citations

Desgroux, Aurore, Henri Miteul, Grégoire Aubert, et al.. (2018). Comparative Genome-Wide-Association Mapping Identifies Common Loci Controlling Root System Architecture and Resistance to Aphanomyces euteiches in Pea. Frontiers in Plant Science. 8. 2195–2195. 36 indexed citations

Bonhomme, Maxime, Olivier André, Yacine Badis, et al.. (2013). High‐density genome‐wide association mapping implicates an F‐box encoding gene in Medicago truncatula resistance to Aphanomyces euteiches. New Phytologist. 201(4). 1328–1342. 66 indexed citations

Hamon, Céline, Alain Baranger, Henri Miteul, et al.. (2009). A complex genetic network involving a broad-spectrum locus and strain-specific loci controls resistance to different pathotypes of Aphanomyces euteiches in Medicago truncatula. Theoretical and Applied Genetics. 120(5). 955–970. 24 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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