Peter Warren

632 citations
8 papers · 495 · h-index 7

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 2
    • Glycosylation and Glycoproteins Research 1
    • Gene expression and cancer classification 1
    • Advanced Proteomics Techniques and Applications 2
    • Mass Spectrometry Techniques and Applications 2

Peter Warren

7 papers receiving 488 citations

Peers

Peter Warren
Comparison fields: 5 of 69
  • Developmental Neuroscience 94
  • Cellular and Molecular Neuroscience 146
  • Cancer Research 93
  • Molecular Biology 306
  • Cell Biology 62
Replace Renee Garcia‐Arenas with:
Renee Garcia‐Arenas United States
Sumitra Bhattacharya United States
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Ajanthy Arulpragasam Australia
Karl‐Heinz Herzog United States
Yasuno Iwasaki Japan
Chad D. Knights United States
Yasna Contreras‐Baeza Chile
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Peter Warren

Since Specialization
Citations

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

Fields of papers citing papers by Peter Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2015183
2 2012132
3 201470
4 201440
5 201033
6 200729
7 20208
8
From Project-to-Peptides: Customizing a Commercial LIMS for LC-MS Proteomics.
20100

About Peter Warren

Peter Warren is a scholar working on Molecular Biology, Spectroscopy, Cell Biology, Organic Chemistry and Surgery, having authored 8 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Glycosylation and Glycoproteins Research (1 paper), Gene expression and cancer classification (1 paper), Nerve injury and regeneration (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Developmental Neuroscience (94 citations), Cellular and Molecular Neuroscience (146 citations), Cancer Research (93 citations), Molecular Biology (306 citations) and Cell Biology (62 citations). Peter Warren has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Judith A. Steen, Homaira Nawabi, Hubert Schorle, Clifford J. Woolf, Shaojun Tang, Alban Latrémolière, Chen Wang, Zhigang He, Stéphane Belin and John W. Froehlich. Their work appears in journals such as Molecular & Cellular Proteomics, PROTEOMICS, Journal of Biomolecular Techniques JBT, Neuron and Acta Neuropathologica.

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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