Jonathan Neve

504 citations
6 papers · 326 · h-index 6

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Cancer-related gene regulation
    • Genomics and Chromatin Dynamics
    • RNA regulation and disease

Papers in

    • RNA Research and Splicing 6
    • RNA modifications and cancer 5
    • Cancer-related gene regulation 2
    • RNA and protein synthesis mechanisms 1
    • Mitochondrial Function and Pathology 1
    • Genomics and Chromatin Dynamics 1
    • Amyotrophic Lateral Sclerosis Research 1

Jonathan Neve

6 papers receiving 326 citations

Peers

Jonathan Neve
Comparison fields: 5 of 40
  • Cancer Research 74
  • Molecular Biology 305
  • Aging 2
  • Biochemistry 7
  • Genetics 10
Replace Valérie Grenier St-Sauveur with:
Valérie Grenier St-Sauveur Canada
Abdalla Akef Canada
Giorgio Virnicchi Czechia
Paula Marttinen Finland
Valentina Botti United States
Fernando Carrillo Oesterreich Germany
Myles Hochman United States
Devin Tauber United States
Christy Fillman United States
Alison D. Tang United States
Jonathan Neve relative to Valérie Grenier St-Sauveur Canada Valérie Grenier St-Sauveur's profile →
Citations per field
00.5×3.4×
Valérie Grenier St-Sauveur · 1×
Citations per year

Countries citing papers authored by Jonathan Neve

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Neve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Jonathan Neve, 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 Neve Line = papers co-authored together Jonathan Neve links everyone, so they are left out of the graph.

All Works

About Jonathan Neve

Jonathan Neve is a scholar working on Molecular Biology, Neurology, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 326 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers), Cancer-related gene regulation (2 papers), Cancer-related molecular mechanisms research (1 paper), RNA and protein synthesis mechanisms (1 paper), Mitochondrial Function and Pathology (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Cancer Research (74 citations), Molecular Biology (305 citations), Aging (2 citations), Biochemistry (7 citations) and Genetics (10 citations). Jonathan Neve has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include André Furger, Radhika Patel, Bin Tian, Harry Fischl, Wencheng Li, Monika Gullerová, Kaspar Burger, Mainul Hoque, Shona Murphy and Takayuki Nojima. Their work appears in journals such as Genome Research, Biochemical Society Transactions, Nucleic Acids Research, EMBO Reports and RNA Biology.

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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