Simon Perkins

689 citations
15 papers · 439 · h-index 11

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Metabolomics and Mass Spectrometry Studies
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Glycosylation and Glycoproteins Research
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • Genomics and Phylogenetic Studies 2
    • Machine Learning in Bioinformatics 1
    • Cancer therapeutics and mechanisms 1
    • Advanced Proteomics Techniques and Applications 9
    • Mass Spectrometry Techniques and Applications 6

Simon Perkins

15 papers receiving 437 citations

Peers

Simon Perkins
Comparison fields: 5 of 80
  • Spectroscopy 254
  • Molecular Biology 333
  • Cell Biology 30
  • Aging 3
  • Cancer Research 18
Replace Matthew The with:
Matthew The Germany
Ting Huang China
Dain R. Brademan United States
Jake A. Melby United States
Leah V. Schaffer United States
Constantin Ammar Germany
Henk van den Toorn Netherlands
Stefan K. Solntsev United States
Daniel Walther Switzerland
Rachel Miller United States
Simon Perkins relative to Matthew The Germany Matthew The's profile →
Citations per field
00.5×
Matthew The · 1×
Citations per year

Countries citing papers authored by Simon Perkins

Since Specialization
Citations

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

Fields of papers citing papers by Simon Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2019115
2 201758
3 201751
4 201446
5 201742
6 201432
7 202019
8 201719
9 200812
10 202112
11 201211
12 202310
13 20215
14 20155
15 20212

About Simon Perkins

Simon Perkins is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Computer Networks and Communications and Sociology and Political Science, having authored 15 papers that have together received 439 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Genomics and Phylogenetic Studies (2 papers), Machine Learning in Bioinformatics (1 paper), Cell Image Analysis Techniques (1 paper), Galectins and Cancer Biology (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Spectroscopy (254 citations), Molecular Biology (333 citations), Cell Biology (30 citations), Aging (3 citations) and Cancer Research (18 citations). Simon Perkins has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Andrew R. Jones, Claire E. Eyers, Philip Brownridge, A. Campbell, Patrick A. Eyers, Dominic P. Byrne, Christopher J. Clarke, Fawaz Ghali, Samantha Ferries and Christopher J. Hughes. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, Biochemical Journal, PROTEOMICS and The EMBO Journal.

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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