David Tooth

827 citations
26 papers · 617 · h-index 14

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • Glycosylation and Glycoproteins Research 6
    • Protein purification and stability 2
    • Mitochondrial Function and Pathology 2

David Tooth

26 papers receiving 604 citations

Peers

David Tooth
Comparison fields: 5 of 106
  • Gastroenterology 49
  • Cell Biology 82
  • Molecular Biology 303
  • Soil Science 38
  • Reproductive Medicine 29
Replace Lingling Wang with:
Lingling Wang China
Paško Konjevoda Croatia
Karl‐F. Bergeron Canada
Xiaomin Hu China
Masaaki Kuroda Japan
Simone Schmitz‐Spanke Germany
Sara Correia Portugal
Alexander Sigrüener Germany
Amy Wilson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by David Tooth

Since Specialization
Citations

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

Fields of papers citing papers by David Tooth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004103
2 201366
3 200147
4 201445
5 200142
6 201035
7 201435
8 202034
9 201033
10 200732
11 201229
12 200724
13 201518
14 202013
15 200912
16 201611
17 20217
18 20187
19 20186
20 19905

About David Tooth

David Tooth is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Spectroscopy and Epidemiology, having authored 26 papers that have together received 617 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Glycosylation and Glycoproteins Research (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Pregnancy and preeclampsia studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Protein purification and stability (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Gastroenterology (49 citations), Cell Biology (82 citations), Molecular Biology (303 citations), Soil Science (38 citations) and Reproductive Medicine (29 citations). David Tooth has collaborated with scholars based in United Kingdom, United States and Jordan. Frequent co-authors include Robert Layfield, Darrell Sleep, Alan J. Stewart, Stephen Berezenko, Peter J. Sadler, Claudia A. Blindauer, David Dunkerley, Simon Dawson, Wayne G. Carter and Andrew Alban. Their work appears in journals such as PROTEOMICS, Journal of Proteome Research, Gut, Protein Expression and Purification and Analytical Biochemistry.

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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