J. L. Notteghem

607 citations
13 papers · 353 indexed · h-index 7

J. L. Notteghem

13 papers receiving 338 citations

Peers

J. L. Notteghem
Comparison fields: 5 of 26
  • Cell Biology 154
  • Plant Science 316
  • Molecular Biology 145
  • Genetics 57
  • Ecology, Evolution, Behavior and Systematics 22
Replace V. Lind with:
V. Lind Germany
S. Deller United Kingdom
Jessica R. Cavaletto United States
Xinping Jia China
E. Roumen Netherlands
Maren Livaja Germany
Manuel Zander Australia
Isabell Küfner Germany
Seong Sook Han South Korea
Ambrose Andongabo United Kingdom
J. L. Notteghem relative to V. Lind Germany V. Lind's profile →
Citations per field
00.5×1.5×2.2×
V. Lind · 1×
Citations per year

Countries citing papers authored by J. L. Notteghem

Since Specialization
Citations

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

Fields of papers citing papers by J. L. Notteghem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. L. Notteghem. 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 J. L. Notteghem. The network helps show where J. L. Notteghem may publish in the future.

Co-authorship network

The 20 scholars most cited alongside J. L. Notteghem, 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 J. L. Notteghem Line = papers co-authored together J. L. Notteghem links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201050
2 199789
3 199665
4 19966
5 199515
6 199290
7 19913
8 199021
9 19907
10 19892
11
Breeding for disease resistance in upland rice in Africa
19841
12
Main rice diseases in West Africa
19813
13
Techniques used to select rice varieties with horizontal resistance to Pyricularia oryzae.
19801

About J. L. Notteghem

J. L. Notteghem is a scholar working on Plant Science, Cell Biology, Biotechnology, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 13 papers that have together received 353 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (5 papers), Plant Pathogens and Fungal Diseases (5 papers), Plant Pathogenic Bacteria Studies (4 papers), Plant Disease Resistance and Genetics (3 papers), Rice Cultivation and Yield Improvement (2 papers), Fungal and yeast genetics research (2 papers), Plant biochemistry and biosynthesis (1 paper) and Agricultural Systems and Practices (1 paper). The work is most often cited by research in Cell Biology (154 citations), Plant Science (316 citations), Molecular Biology (145 citations), Genetics (57 citations) and Ecology, Evolution, Behavior and Systematics (22 citations). J. L. Notteghem has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Morris Levy, E. Roumen, D. Silué, J. M. Bonman, D. J. Mackill, Zheping Yu, Susan R. McCouch, Steven D. Tanksley, Emmanuel Guiderdoni and Xavier Grand. Their work appears in journals such as Theoretical and Applied Genetics, Phytopathology, BMC Plant Biology, Cryptogamie Mycologie and European Journal of Plant Pathology.

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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