Jonathan Neve

514 citations
6 papers · 329 · h-index 6

Impact in

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

Papers in

    • RNA modifications and cancer 5
    • RNA Research and Splicing 5
    • Cancer-related gene regulation 2
    • Genomics and Chromatin Dynamics 1
    • RNA and protein synthesis mechanisms 1
    • Cancer-related molecular mechanisms research 1

Jonathan Neve

6 papers receiving 328 citations

Peers

Jonathan Neve
Comparison fields: 5 of 39
  • Molecular Biology 294
  • Cancer Research 59
  • Aging 2
  • Genetics 10
  • Biochemistry 7
Replace Ashrut Narula with:
Ashrut Narula Canada
Valentina Botti United States
Abdalla Akef Canada
Valérie Grenier St-Sauveur Canada
Divya M. Sivaraman India
Devin Tauber United States
Myles Hochman United States
Giorgio Virnicchi Czechia
Allison J. Taggart United States
Paula Marttinen Finland
Jonathan Neve relative to Ashrut Narula Canada Ashrut Narula's profile →
Citations per field
00.5×
Ashrut Narula · 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 15 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, Cancer Research, Infectious Diseases, Organic Chemistry and Surgery, having authored 6 papers that have together received 329 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), Cancer-related gene regulation (2 papers), Genomics and Chromatin Dynamics (1 paper), Cancer-related molecular mechanisms research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (294 citations), Cancer Research (59 citations), Aging (2 citations), Genetics (10 citations) and Biochemistry (7 citations). Jonathan Neve has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include André Furger, Radhika Patel, Zhiqiao Wang, Bin Tian, Harry Fischl, Mainul Hoque, Wencheng Li, Kaspar Burger, Monika Gullerová and Takayuki Nojima. Their work appears in journals such as Nucleic Acids Research, RNA Biology, Biochemical Society Transactions, EMBO Reports and Genome Research.

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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