Michael Tuck

602 citations
7 papers · 269 · h-index 6

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Analytical Chemistry and Chromatography
  • Biophysics top 5%
    • Spectroscopy Techniques in Biomedical and Chemical Research
    • Cell Image Analysis Techniques

Papers in

    • Metabolomics and Mass Spectrometry Studies 4
    • Mass Spectrometry Techniques and Applications 4
    • Advanced Proteomics Techniques and Applications 1

Michael Tuck

7 papers receiving 267 citations

Peers

Michael Tuck
Comparison fields: 5 of 66
  • Spectroscopy 171
  • Biophysics 55
  • Molecular Biology 149
  • Clinical Biochemistry 11
  • Analytical Chemistry 16
Replace David G. Rizzo with:
David G. Rizzo United States
Jean‐Luc Vorng United Kingdom
Pere Ràfols Spain
Vincen Wu United Kingdom
Marcel Niehaus Germany
Manxi Yang United States
Erika R. Amstalden Netherlands
Werner Bouschen Germany
Chelsea J. Nikula United Kingdom
Bennett N. Walker United States
Michael Tuck relative to David G. Rizzo United States David G. Rizzo's profile →
Citations per field
00.5×3.5×
David G. Rizzo · 1×
Citations per year

Countries citing papers authored by Michael Tuck

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201880
2 202061
3 202258
4 201851
5 202211
6 20216
7 20182

About Michael Tuck

Michael Tuck is a scholar working on Molecular Biology, Spectroscopy, Biophysics, Infectious Diseases and Virology, having authored 7 papers that have together received 269 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), HIV/AIDS Research and Interventions (1 paper), Spectroscopy and Chemometric Analyses (1 paper), Advanced Proteomics Techniques and Applications (1 paper), HIV Research and Treatment (1 paper) and HIV/AIDS drug development and treatment (1 paper). The work is most often cited by research in Spectroscopy (171 citations), Biophysics (55 citations), Molecular Biology (149 citations), Clinical Biochemistry (11 citations) and Analytical Chemistry (16 citations). Michael Tuck has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Nathan Heath Patterson, Richard M. Caprioli, Raf Van de Plas, Nicolas Desbenoît, Landry Blanc, Alexis Kaushansky, Adam Lewis, Jeremy L. Norris, Sophie Lecomte and Andreas Römpp. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Frontiers in Molecular Neuroscience and Frontiers in Chemistry.

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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