Stéphane Savary

64 papers receiving 2.4k citations

Stéphane Savary's Hit Papers

Modelling the impacts of pests and diseases on agricultural systems 2017 · 264 citations
2640+3+6Years since publication50100150200250

Peers

Stéphane Savary
Comparison fields: 5 of 124
  • Horticulture 42
  • Clinical Biochemistry 202
  • Biochemistry 161
  • Molecular Biology 1.2k
  • Plant Science 654
Replace Shiming Liu with:
Shiming Liu China
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M. Carmen Martı́nez Spain
Hua Jiang China
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Toshiya Yamamoto Japan
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Stéphane Savary relative to Shiming Liu China Shiming Liu's profile →
Citations per field
00.5×3.9×
Shiming Liu · 1×
Citations per year

Countries citing papers authored by Stéphane Savary

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Savary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stéphane Savary, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stéphane Savary Line = papers co-authored together Stéphane Savary links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modelling the impacts of pests and diseases on agricultural systems
Hit paper breakdown →
2017264
2 1994215
3 1996187
4 200495
5 201994
6 201293
7 201287
8 201381
9 201678
10 202274
11 200871
12 199766
13 199658
14 200557
15 200155
16 200749
17 201644
18 202143
19 201642
20 200841

About Stéphane Savary

Stéphane Savary is a scholar working on Molecular Biology, Plant Science, Oncology, Physiology and Clinical Biochemistry, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (37 papers), Drug Transport and Resistance Mechanisms (13 papers), Adipose Tissue and Metabolism (12 papers), Metabolism and Genetic Disorders (10 papers), Cholesterol and Lipid Metabolism (7 papers), Wheat and Barley Genetics and Pathology (6 papers), Immune cells in cancer (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Horticulture (42 citations), Clinical Biochemistry (202 citations), Biochemistry (161 citations), Molecular Biology (1.2k citations) and Plant Science (654 citations). Stéphane Savary has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Giovanna Chimini, Doriane Trompier, Catherine Gondcaille, Laetitia Willocquet, Gérard Lizard, Marie‐Geneviève Mattéi, François Denizot, L. Willocquet, Pierre Andreoletti and Simone Bregaglio. Their work appears in journals such as Plant Pathology, International Journal of Molecular Sciences, Biochimie, Frontiers in Molecular Neuroscience and Journal of Biological Chemistry.

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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