Nemo Peeters

7.8k total citations · 4 hit papers
43 papers, 5.5k citations indexed

About

Nemo Peeters is a scholar working on Plant Science, Molecular Biology and Oncology. According to data from OpenAlex, Nemo Peeters has authored 43 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 12 papers in Molecular Biology and 1 paper in Oncology. Recurrent topics in Nemo Peeters's work include Plant-Microbe Interactions and Immunity (30 papers), Plant Pathogenic Bacteria Studies (29 papers) and Legume Nitrogen Fixing Symbiosis (27 papers). Nemo Peeters is often cited by papers focused on Plant-Microbe Interactions and Immunity (30 papers), Plant Pathogenic Bacteria Studies (29 papers) and Legume Nitrogen Fixing Symbiosis (27 papers). Nemo Peeters collaborates with scholars based in France, United States and Switzerland. Nemo Peeters's co-authors include Ian Small, Claire Lurin, Stéphane Genin, Fabrice Legeai, Fabienne Vailleau, Laurent Deslandes, Christian Boucher, Alice Guidot, Beate Hoffmann and Anne‐Claire Cazalé and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Nemo Peeters

42 papers receiving 5.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome-Wide Analysis of Arabidopsis Pentatricopeptide Repeat Proteins Reveals Their Essential Role in Organelle Biogenesis[W]

2004 1.1k citations Claire Lurin, Mohammed Bellaoui et al. The Plant Cell profile →
Predotar: A tool for rapidly screening proteomes for N ‐terminal targeting sequences

2004 724 citations Ian Small, Nemo Peeters et al. PROTEOMICS profile →
The PPR motif – a TPR-related motif prevalent in plant organellar proteins

2000 683 citations Ian Small, Nemo Peeters Trends in Biochemical Sciences profile →
Physical interaction between RRS1-R, a protein conferring resistance to bacterial wilt, and PopP2, a type III effector targeted to the plant nucleus

2003 551 citations Laurent Deslandes, Nemo Peeters et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nemo Peeters France	28	3.4k	3.2k	209	163	147	43	5.5k
Yasuo Niwa Japan	24	4.0k 1.2×	4.1k 1.3×	319 1.5×	108 0.7×	107 0.7×	54	5.6k
Nilgun E. Tumer United States	39	2.7k 0.8×	2.5k 0.8×	151 0.7×	128 0.8×	166 1.1×	103	4.7k
Tzvi Tzfira United States	42	3.7k 1.1×	4.4k 1.4×	208 1.0×	235 1.4×	148 1.0×	78	5.4k
Christophe Robaglia France	42	5.2k 1.5×	3.4k 1.1×	151 0.7×	134 0.8×	159 1.1×	92	6.2k
Bernd Reiss Germany	26	2.1k 0.6×	3.0k 0.9×	129 0.6×	421 2.6×	164 1.1×	42	3.5k
Mary Beth Mudgett United States	37	4.5k 1.3×	1.8k 0.6×	261 1.2×	304 1.9×	122 0.8×	53	5.6k
Dilip M. Shah United States	43	3.6k 1.0×	4.0k 1.2×	309 1.5×	178 1.1×	101 0.7×	85	5.7k
Huanquan Zheng Canada	31	3.4k 1.0×	2.5k 0.8×	719 3.4×	103 0.6×	138 0.9×	62	4.4k
Rainer P. Birkenbihl Germany	23	2.7k 0.8×	2.4k 0.7×	192 0.9×	175 1.1×	102 0.7×	29	3.5k
T. Lynne Reuber United States	22	5.4k 1.6×	3.4k 1.1×	203 1.0×	237 1.5×	181 1.2×	27	6.1k

Countries citing papers authored by Nemo Peeters

Since Specialization

Citations

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

Fields of papers citing papers by Nemo Peeters

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nemo Peeters

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

All Works

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20 of 20 papers shown

Mila, Isabelle, Cécile Pouzet, Dominique Trémousaygue, et al.. (2023). An NLR integrated domain toolkit to identify plant pathogen effector targets. The Plant Journal. 115(5). 1443–1457. 5 indexed citations

Mainiero, Samantha, Sarah R. Hind, Magdalen Lindeberg, et al.. (2019). The Ptr1 Locus of Solanum lycopersicoides Confers Resistance to Race 1 Strains of Pseudomonas syringae pv. tomato and to Ralstonia pseudosolanacearum by Recognizing the Type III Effectors AvrRpt2 and RipBN. Molecular Plant-Microbe Interactions. 32(8). 949–960. 35 indexed citations

Carrère, Sébastien, Fabien Lonjon, Fabienne Vailleau, et al.. (2019). Pangenomic type III effector database of the plant pathogenic Ralstonia spp.. PeerJ. 7. e7346–e7346. 74 indexed citations

Lonjon, Fabien, Nemo Peeters, Stéphane Genin, & Fabienne Vailleau. (2017). In Vitro and In Vivo Secretion/Translocation Assays to Identify Novel Ralstonia solanacearum Type 3 Effectors. Methods in molecular biology. 1734. 209–222. 12 indexed citations

Sang, Yuying, Yaru Wang, Ní Hóng, et al.. (2016). The Ralstonia solanacearum type III effector RipAY targets plant redox regulators to suppress immune responses. Molecular Plant Pathology. 19(1). 129–142. 64 indexed citations

Wang, Keke, Philippe Remigi, Maria Anisimova, et al.. (2015). Functional assignment to positively selected sites in the core type III effector RipG 7 from R alstonia solanacearum. Molecular Plant Pathology. 17(4). 553–564. 24 indexed citations

Lonjon, Fabien, Marie Turner, Céline Henry, et al.. (2015). Comparative Secretome Analysis of Ralstonia solanacearum Type 3 Secretion-Associated Mutants Reveals a Fine Control of Effector Delivery, Essential for Bacterial Pathogenicity. Molecular & Cellular Proteomics. 15(2). 598–613. 43 indexed citations

Peeters, Nemo, Sébastien Carrère, Maria Anisimova, et al.. (2013). Repertoire, unified nomenclature and evolution of the Type III effector gene set in the Ralstonia solanacearum species complex. BMC Genomics. 14(1). 859–859. 190 indexed citations

Peeters, Nemo, Alice Guidot, Fabienne Vailleau, & Marc Valls. (2013). R alstonia solanacearum , a widespread bacterial plant pathogen in the post‐genomic era. Molecular Plant Pathology. 14(7). 651–662. 291 indexed citations

10.

Remigi, Philippe, Maria Anisimova, Alice Guidot, Stéphane Genin, & Nemo Peeters. (2011). Functional diversification of the GALA type III effector family contributes to Ralstonia solanacearum adaptation on different plant hosts. New Phytologist. 192(4). 976–987. 78 indexed citations

11.

Kajava, Andrey V., Maria Anisimova, & Nemo Peeters. (2008). Origin and Evolution of GALA-LRR, a New Member of the CC-LRR Subfamily: From Plants to Bacteria?. PLoS ONE. 3(2). e1694–e1694. 39 indexed citations

12.

Angot, Aurélie, Nemo Peeters, Esther Lechner, et al.. (2006). Ralstonia solanacearum requires F-box-like domain-containing type III effectors to promote disease on several host plants. Proceedings of the National Academy of Sciences. 103(39). 14620–14625. 171 indexed citations

13.

Angot, Aurélie, Nemo Peeters, Esther Lechner, et al.. (2006). Ralstonia solanacearum requires F-box-like domain-containing type III effectors to promote disease on several host plants. HAL (Le Centre pour la Communication Scientifique Directe). 7 indexed citations

14.

Lurin, Claire, Mohammed Bellaoui, Michel Caboche, et al.. (2004). Genome-Wide Analysis of Arabidopsis Pentatricopeptide Repeat Proteins Reveals Their Essential Role in Organelle Biogenesis[W]. The Plant Cell. 16(8). 2089–2103. 1051 indexed citations breakdown →

15.

Peeters, Nemo, et al.. (2004). RNA editing in ribosome-less plastids of iojap maize. Current Genetics. 45(5). 331–337. 16 indexed citations

16.

Small, Ian, Nemo Peeters, Fabrice Legeai, & Claire Lurin. (2004). Predotar: A tool for rapidly screening proteomes for N ‐terminal targeting sequences. PROTEOMICS. 4(6). 1581–1590. 724 indexed citations breakdown →

17.

Peeters, Nemo & Maureen R. Hanson. (2002). Transcript abundance supercedes editing efficiency as a factor in developmental variation of chloroplast gene expression. RNA. 8(4). 497–511. 61 indexed citations

18.

Peeters, Nemo & Ian Small. (2001). Dual targeting to mitochondria and chloroplasts. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1541(1-2). 54–63. 195 indexed citations

19.

Duchêne, Anne‐Marie, Nemo Peeters, André Dietrich, et al.. (2001). Overlapping Destinations for Two Dual Targeted Glycyl-tRNA Synthetases in Arabidopsis thaliana and Phaseolus vulgaris. Journal of Biological Chemistry. 276(18). 15275–15283. 46 indexed citations

20.

Small, Ian & Nemo Peeters. (2000). The PPR motif – a TPR-related motif prevalent in plant organellar proteins. Trends in Biochemical Sciences. 25(2). 45–47. 683 indexed citations breakdown →

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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