David Pirman

1.5k citations
18 papers · 749 · h-index 11

Impact in

    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Advanced Proteomics Techniques and Applications
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

    • Metabolomics and Mass Spectrometry Studies 7
    • Mass Spectrometry Techniques and Applications 5
    • Analytical Chemistry and Chromatography 3

David Pirman

17 papers receiving 743 citations

Peers

David Pirman
Comparison fields: 5 of 81
  • Spectroscopy 296
  • Cancer Research 149
  • Biochemistry 46
  • Molecular Biology 428
  • Clinical Biochemistry 34
Replace Sankha S. Basu with:
Sankha S. Basu United States
Christian Guenat Switzerland
Luojiao Huang China
Leo E. Bonilla United States
Catharina Crone Germany
Adrian S. Culf Canada
Emmanuelle Claude United Kingdom
Jon P. DeGnore United States
Navin Rauniyar United States
György Marko‐Varga Sweden
David Pirman relative to Sankha S. Basu United States Sankha S. Basu's profile →
Citations per field
00.5×3.2×
Sankha S. Basu · 1×
Citations per year

Countries citing papers authored by David Pirman

Since Specialization
Citations

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

Fields of papers citing papers by David Pirman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2012157
2 2022115
3 201999
4 201178
5 201272
6 201854
7 201653
8 201734
9 201330
10 202017
11 201913
12 201510
13 20227
14 20166
15 20072
16 20241
17 20121
18 20240

About David Pirman

David Pirman is a scholar working on Molecular Biology, Spectroscopy, Oncology, Cancer Research and Pharmacology, having authored 18 papers that have together received 749 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (5 papers), Analytical Chemistry and Chromatography (3 papers), Metabolism and Genetic Disorders (2 papers), Cancer Cells and Metastasis (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Spectroscopy (296 citations), Cancer Research (149 citations), Biochemistry (46 citations), Molecular Biology (428 citations) and Clinical Biochemistry (34 citations). David Pirman has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Richard A. Yost, András Kiss, Ron M. A. Heeren, Gromoslaw A. Smolen, Christopher E. Mahoney, Giovanni Cianchetta, Stefan Größ, Thomas P. Roddy, Janeta Popovici-Müller and Rohini Narayanaswamy. Their work appears in journals such as Analytical Chemistry, Neurology, Cell Metabolism, Nature Medicine and Molecular Genetics and Metabolism.

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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