Jonathan Robert Chubb

4.4k citations
53 papers · 3.4k · h-index 26

Impact in

    • Genomics and Chromatin Dynamics
    • Gene Regulatory Network Analysis
    • Nuclear Structure and Function
    • Developmental Biology and Gene Regulation
    • Single-cell and spatial transcriptomics
  • Biophysics top 2%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Genomics and Chromatin Dynamics 16
    • Gene Regulatory Network Analysis 15
    • Developmental Biology and Gene Regulation 15
    • Protein Kinase Regulation and GTPase Signaling 7
    • Nuclear Structure and Function 6
    • Single-cell and spatial transcriptomics 4
    • Pluripotent Stem Cells Research 3

Jonathan Robert Chubb

52 papers receiving 3.4k citations

Peers

Jonathan Robert Chubb
Comparison fields: 5 of 94
  • Molecular Biology 2.8k
  • Biophysics 155
  • Cell Biology 191
  • Physiology 42
  • Neurology 140
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Jonathan Robert Chubb relative to Eric C. Schirmer United Kingdom Eric C. Schirmer's profile →
Citations per field
00.5×2×2.6×
Eric C. Schirmer · 1×
Citations per year

Countries citing papers authored by Jonathan Robert Chubb

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Robert Chubb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006569
2 2002461
3 2008438
4 2016190
5 2020151
6 2010141
7 2004137
8 2016120
9 2012109
10 2003101
11 201079
12 200073
13 201860
14 200857
15 201456
16 201450
17 201047
18 201646
19 201839
20 201737

About Jonathan Robert Chubb

Jonathan Robert Chubb is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Physiology and Biophysics, having authored 53 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (16 papers), Gene Regulatory Network Analysis (15 papers), Developmental Biology and Gene Regulation (15 papers), Slime Mold and Myxomycetes Research (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Nuclear Structure and Function (6 papers), Single-cell and spatial transcriptomics (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Biophysics (155 citations), Cell Biology (191 citations), Physiology (42 citations) and Neurology (140 citations). Jonathan Robert Chubb has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Wendy A. Bickmore, Shelagh Boyle, Paul Perry, Robert H. Singer, Shailesh M. Shenoy, Tatjana Trcek, Edward Tunnacliffe, Adam M. Corrigan, Tetsuya Muramoto and Robert H. Insall. Their work appears in journals such as Current Biology, Development, Proceedings of the National Academy of Sciences, PLoS ONE and eLife.

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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