Ivan Sache

1.8k total citations
42 papers, 1.2k citations indexed

About

Ivan Sache is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Ivan Sache has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 11 papers in Cell Biology and 8 papers in Molecular Biology. Recurrent topics in Ivan Sache's work include Wheat and Barley Genetics and Pathology (26 papers), Plant Pathogens and Fungal Diseases (11 papers) and Plant Pathogens and Resistance (11 papers). Ivan Sache is often cited by papers focused on Wheat and Barley Genetics and Pathology (26 papers), Plant Pathogens and Fungal Diseases (11 papers) and Plant Pathogens and Resistance (11 papers). Ivan Sache collaborates with scholars based in France, Morocco and Netherlands. Ivan Sache's co-authors include Frédéric Suffert, Christian Lannou, Régis Courtecuisse, Cécile Robin, Marie‐Laure Desprez‐Loustau, Marc Buée, David M. Rizzo, Jean Garbaye, C. de Vallavieille‐Pope and Samuel Soubeyrand and has published in prestigious journals such as Trends in Ecology & Evolution, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Ivan Sache

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Sache France 20 991 362 196 159 159 42 1.2k
Frédéric Suffert France 18 1.0k 1.0× 427 1.2× 171 0.9× 155 1.0× 135 0.8× 60 1.2k
Bohun B. Kinloch United States 19 607 0.6× 280 0.8× 599 3.1× 96 0.6× 234 1.5× 33 1.0k
Claude Husson France 21 872 0.9× 654 1.8× 377 1.9× 150 0.9× 539 3.4× 44 1.4k
Johan Fogelqvist Sweden 20 672 0.7× 90 0.2× 230 1.2× 154 1.0× 80 0.5× 22 961
Anders Wennström Sweden 16 373 0.4× 139 0.4× 179 0.9× 259 1.6× 100 0.6× 35 636
Luisa Ghelardini Italy 18 476 0.5× 304 0.8× 163 0.8× 105 0.7× 362 2.3× 48 870
Lydia Bousset France 16 515 0.5× 194 0.5× 79 0.4× 156 1.0× 121 0.8× 36 756
Jane E. Stewart United States 18 825 0.8× 605 1.7× 240 1.2× 269 1.7× 344 2.2× 95 1.4k
Jérôme Enjalbert France 26 1.6k 1.6× 159 0.4× 591 3.0× 216 1.4× 84 0.5× 32 2.0k
Gretna Weste Australia 20 961 1.0× 456 1.3× 228 1.2× 116 0.7× 314 2.0× 83 1.2k

Countries citing papers authored by Ivan Sache

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Sache

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Sache

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

All Works

20 of 20 papers shown
1.
Goyeau, Henriette, et al.. (2023). A landscape-scale field survey demonstrates the role of wheat volunteers as a local and diversified source of leaf rust inoculum. Scientific Reports. 13(1). 20411–20411. 2 indexed citations
2.
Chelle, Michaël, et al.. (2022). Daily fluctuations in leaf temperature modulate the development of a foliar pathogen. Agricultural and Forest Meteorology. 322. 109031–109031. 4 indexed citations
3.
Soubeyrand, Samuel, Ivan Sache, Christian Lannou, & Joel J. Chadoeuf. (2021). A Frailty Model to Assess Plant Disease Spread from Individual Count Data. Journal of Data Science. 5(1). 67–83.
4.
Duplaix, Clémentine, et al.. (2019). Overall stability in the genetic structure of a Zymoseptoria tritici population from epidemic to interepidemic stages at a small spatial scale. European Journal of Plant Pathology. 154(2). 423–436. 13 indexed citations
5.
Suffert, Frédéric, et al.. (2017). Epidemiological trade‐off between intra‐ and interannual scales in the evolution of aggressiveness in a local plant pathogen population. Evolutionary Applications. 11(5). 768–780. 19 indexed citations
6.
Soubeyrand, Samuel, Caroline Monteil, Frédéric Suffert, et al.. (2017). Testing Differences Between Pathogen Compositions with Small Samples and Sparse Data. Phytopathology. 107(10). 1199–1208. 5 indexed citations
7.
Suffert, Frédéric, Virginie Ravigné, & Ivan Sache. (2015). Seasonal Changes Drive Short-Term Selection for Fitness Traits in the Wheat Pathogen Zymoseptoria tritici. Applied and Environmental Microbiology. 81(18). 6367–6379. 34 indexed citations
8.
Sache, Ivan, et al.. (2015). Is the onset of septoria tritici blotch epidemics related to the local pool of ascospores?. Plant Pathology. 65(2). 250–260. 24 indexed citations
9.
Bancal, Marie‐Odile, et al.. (2012). Modelling fungal sink competitiveness with grains for assimilates in wheat infected by a biotrophic pathogen. Annals of Botany. 110(1). 113–123. 25 indexed citations
10.
Andrivon, Didier, Alain Baranger, Agnes A. Calonnec, et al.. (2012). Defining and designing plant architectural ideotypes to control epidemics?. European Journal of Plant Pathology. 135(3). 611–617. 29 indexed citations
11.
Travadon, Renaud, Ivan Sache, Cyril Dutech, et al.. (2011). Absence of isolation by distance patterns at the regional scale in the fungal plant pathogen Leptosphaeria maculans. Fungal Biology. 115(7). 649–659. 26 indexed citations
12.
Desprez‐Loustau, Marie‐Laure, Cécile Robin, Marc Buée, et al.. (2007). The fungal dimension of biological invasions. Trends in Ecology & Evolution. 22(9). 472–480. 300 indexed citations
13.
Soubeyrand, Samuel, et al.. (2007). Anisotropy, in Density and in Distance, of the Dispersal of Yellow Rust of Wheat: Experiments in Large Field Plots and Estimation. Phytopathology. 97(10). 1315–1324. 27 indexed citations
14.
Sache, Ivan, et al.. (2007). A methodology for assessing the risk posed by the deliberate and harmful use of plant pathogens in Europe. EPPO Bulletin. 37(2). 427–435. 6 indexed citations
15.
Bicout, Dominique & Ivan Sache. (2003). Dispersal of spores following a persistent random walk. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(3). 31913–31913. 9 indexed citations
16.
Huber, L, et al.. (2000). Influence of simulated rain on dispersal of rust spores from infected wheat seedlings. Agricultural and Forest Meteorology. 101(1). 53–66. 26 indexed citations
17.
Sache, Ivan. (1997). Effect of density and age of lesions on sporulation capacity and infection efficiency in wheat leaf rust (Puccinia recondita f.sp. tritici). HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
18.
19.
Sache, Ivan & C. de Vallavieille‐Pope. (1995). Classification of airborne plant pathogens based on sporulation and infection characteristics. Canadian Journal of Botany. 73(8). 1186–1195. 17 indexed citations
20.
Sache, Ivan & C. de Vallavieille‐Pope. (1993). Comparison of the Wheat Brown and Yellow Rusts for Monocyclic Sporulation and Infection Processes, and their Polycyclic Consequences. Journal of Phytopathology. 138(1). 55–65. 31 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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