J. Selley

1.6k citations
18 papers · 1.2k · h-index 14

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Fungal and yeast genetics research
    • Genomics and Phylogenetic Studies
    • Metabolomics and Mass Spectrometry Studies
  • Cell Biology top 10%

Papers in

    • RNA Research and Splicing 5
    • RNA and protein synthesis mechanisms 5
    • Genomics and Phylogenetic Studies 3
    • Fungal and yeast genetics research 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Advanced Proteomics Techniques and Applications 6
    • Mass Spectrometry Techniques and Applications 3

J. Selley

18 papers receiving 1.2k citations

Peers

J. Selley
Comparison fields: 5 of 94
  • Molecular Biology 970
  • Cell Biology 190
  • Spectroscopy 189
  • Immunology and Allergy 62
  • Aging 15
Replace Edward Hawkins with:
Edward Hawkins United Kingdom
A K Erickson United States
Mark R. Flory United States
Anders Riis Kristensen Canada
Gary Glenn United States
Yun Lu China
Jiongwen Ou Canada
Jonathan Rameseder United States
Alejandra Clark United Kingdom
Salvador Martínez‐Bartolomé United States
J. Selley relative to Edward Hawkins United Kingdom Edward Hawkins's profile →
Citations per field
00.5×7.8×
Edward Hawkins · 1×
Citations per year

Countries citing papers authored by J. Selley

Since Specialization
Citations

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

Fields of papers citing papers by J. Selley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2006338
2 2012142
3 2015106
4 199992
5 200989
6 200583
7 201176
8 201267
9 201040
10 201734
11 201934
12 200218
13 200818
14 201516
15 202211
16 201311
17 20016
18 20085

About J. Selley

J. Selley is a scholar working on Molecular Biology, Spectroscopy, Immunology and Allergy, Plant Science and Neurology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (3 papers), Fungal and yeast genetics research (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Cell Adhesion Molecules Research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Molecular Biology (970 citations), Cell Biology (190 citations), Spectroscopy (189 citations), Immunology and Allergy (62 citations) and Aging (15 citations). J. Selley has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Simon J. Hubbard, Mark Ashe, Graham D. Pavitt, Julia B. Smirnova, Chris M. Grant, Kathleen Carroll, David Knight, Teresa K. Attwood, Adam Byron and Jonathan D. Humphries. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Journal of Proteome Research, Disease Models & Mechanisms and Human Molecular 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.

Explore authors with similar magnitude of impact