Jonathan Perot

573 citations
8 papers · 468 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
    • Plant tissue culture and regeneration

Papers in

    • Genomics and Chromatin Dynamics 2
    • RNA Interference and Gene Delivery 2
    • Fungal and yeast genetics research 2
    • Plant tissue culture and regeneration 2
    • Protein Degradation and Inhibitors 1
    • Plant nutrient uptake and metabolism 2

Jonathan Perot

8 papers receiving 462 citations

Peers

Jonathan Perot
Comparison fields: 5 of 46
  • Cancer Research 153
  • Molecular Biology 333
  • Insect Science 56
  • Immunology 89
  • Plant Science 118
Replace Gabrielle Haas with:
Gabrielle Haas France
Changjun Liu China
Pavan Kumar Kakumani India
Emily R. Feldman United States
Bornali Deb India
Sukrit Silas United States
Glen McIntyre Australia
E. V. Snezhkov Russia
Eneida Abreu Parizotto United Kingdom
Anna Kurzyńska‐Kokorniak Poland
Jonathan Perot relative to Gabrielle Haas France Gabrielle Haas's profile →
Citations per field
00.5×1.7×
Gabrielle Haas · 1×
Citations per year

Countries citing papers authored by Jonathan Perot

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Perot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Perot, 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 Jonathan Perot Line = papers co-authored together Jonathan Perot links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2010130
2 2010117
3 200778
4 201271
5 201043
6 200718
7 201710
8
Mouse cytomegalovirus microRNAs dominate the cellular small RNA profile during lytic infection and show features of posttranscriptional regulation
20071

About Jonathan Perot

Jonathan Perot is a scholar working on Molecular Biology, Plant Science, Cancer Research, Infectious Diseases and General Health Professions, having authored 8 papers that have together received 468 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Plant nutrient uptake and metabolism (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Interference and Gene Delivery (2 papers), Fungal and yeast genetics research (2 papers), Plant tissue culture and regeneration (2 papers), Hermeneutics and Narrative Identity (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cancer Research (153 citations), Molecular Biology (333 citations), Insect Science (56 citations), Immunology (89 citations) and Plant Science (118 citations). Jonathan Perot has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Sébastien Pfeffer, Valérie Cognat, Lars Dölken, Amy H. Buck, Lisa Marcinowski, Lee Tuddenham, Jean‐Luc Imler, Jules A. Hoffmann, Stefanie Mueller and Valérie Gausson. Their work appears in journals such as Molecular Plant-Microbe Interactions, Journal of Virology, The EMBO Journal, Proceedings of the National Academy of Sciences and PLoS Genetics.

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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