David Tooth

816 total citations
26 papers, 591 citations indexed

About

David Tooth is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, David Tooth has authored 26 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Cancer Research. Recurrent topics in David Tooth's work include Glycosylation and Glycoproteins Research (6 papers), Ubiquitin and proteasome pathways (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). David Tooth is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Ubiquitin and proteasome pathways (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). David Tooth collaborates with scholars based in United Kingdom, Jordan and Spain. David Tooth's co-authors include Robert Layfield, Darrell Sleep, Alan J. Stewart, Peter J. Sadler, Claudia A. Blindauer, Stephen Berezenko, David Dunkerley, Simon Dawson, Michael Landon and Wayne G. Carter and has published in prestigious journals such as The Lancet, PLoS ONE and Analytical Biochemistry.

In The Last Decade

David Tooth

26 papers receiving 583 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Tooth United Kingdom 13 310 84 64 50 48 26 591
Lingling Wang China 13 322 1.0× 46 0.5× 48 0.8× 24 0.5× 51 1.1× 51 644
Paško Konjevoda Croatia 16 232 0.7× 50 0.6× 54 0.8× 35 0.7× 48 1.0× 82 710
Mark A. Shotwell United States 12 493 1.6× 123 1.5× 85 1.3× 19 0.4× 35 0.7× 18 977
Masaaki Kuroda Japan 20 351 1.1× 118 1.4× 60 0.9× 117 2.3× 72 1.5× 48 992
Kumar Kotlo United States 13 413 1.3× 50 0.6× 41 0.6× 28 0.6× 45 0.9× 22 640
Karl‐F. Bergeron Canada 18 391 1.3× 82 1.0× 39 0.6× 39 0.8× 123 2.6× 28 983
Alberto Sánchez‐Guijo Germany 17 271 0.9× 30 0.4× 100 1.6× 14 0.3× 41 0.9× 32 855
Alexander Sigrüener Germany 15 598 1.9× 69 0.8× 72 1.1× 8 0.2× 251 5.2× 23 999
H N Nellans United States 16 607 2.0× 73 0.9× 154 2.4× 146 2.9× 23 0.5× 28 1.1k
A. Faelli Italy 17 367 1.2× 87 1.0× 68 1.1× 48 1.0× 42 0.9× 70 790

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-authorship network of co-authors of David Tooth

This figure shows the co-authorship network connecting the top 25 collaborators of David Tooth. A scholar is included among the top collaborators of David Tooth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Tooth. David Tooth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Dahabiyeh, Lina A., David Tooth, Lesia O. Kurlak, et al.. (2020). A pilot study of alterations in oxidized angiotensinogen and antioxidants in pre-eclamptic pregnancy. Scientific Reports. 10(1). 1956–1956. 12 indexed citations
3.
Tooth, David, et al.. (2020). Potential Nutraceutical Properties of Leaves from Several Commonly Cultivated Plants. Biomolecules. 10(11). 1556–1556. 33 indexed citations
4.
Dahabiyeh, Lina A., David Tooth, & David A. Barrett. (2018). Profiling of 54 plasma glycoproteins by label-free targeted LC-MS/MS. Analytical Biochemistry. 567. 72–81. 6 indexed citations
5.
Dahabiyeh, Lina A., David Tooth, Robin W. Carrell, et al.. (2018). Measurement of the total angiotensinogen and its reduced and oxidised forms in human plasma using targeted LC-MS/MS. Analytical and Bioanalytical Chemistry. 411(2). 427–437. 6 indexed citations
6.
Scott, Daniel, Joanna Strachan, Barry Shaw, et al.. (2016). Method for the Purification of Endogenous Unanchored Polyubiquitin Chains. Methods in molecular biology. 1449. 203–213. 2 indexed citations
7.
Carter, Wayne G., Vasanthy Vigneswara, Anna U. Newlaczyl, et al.. (2015). Isoaspartate, carbamoyl phosphate synthase-1, and carbonic anhydrase-III as biomarkers of liver injury. Biochemical and Biophysical Research Communications. 458(3). 626–631. 18 indexed citations
8.
Evans, Richard D., Christopher L. Robinson, Deborah A. Briggs, et al.. (2014). Myosin-Va and Dynamic Actin Oppose Microtubules to Drive Long-Range Organelle Transport. Current Biology. 24(15). 1743–1750. 44 indexed citations
9.
Erdozain, Amaia M., Benito Morentín, Lynn Bedford, et al.. (2014). Alcohol-Related Brain Damage in Humans. PLoS ONE. 9(4). e93586–e93586. 32 indexed citations
10.
Tooth, David, Klara Garsed, Gulzar Singh, et al.. (2013). Characterisation of faecal protease activity in irritable bowel syndrome with diarrhoea: origin and effect of gut transit. Gut. 63(5). 753–760. 61 indexed citations
11.
Garsed, Klara, G. Singh, David Tooth, et al.. (2011). Origin of increased fecal serine protease in patients with irritable bowel syndrome and diarrhoea (IBS-D). Gut. 60(Suppl 1). A25.1–A25. 3 indexed citations
12.
Payne, Tom, P. H. Morton, Malcolm J. Saxton, et al.. (2010). High-level production of animal-free recombinant transferrin from saccharomyces cerevisiae. Microbial Cell Factories. 9(1). 87–87. 30 indexed citations
13.
Evans, Leslie, et al.. (2010). The production, characterisation and enhanced pharmacokinetics of scFv–albumin fusions expressed in Saccharomyces cerevisiae. Protein Expression and Purification. 73(2). 113–124. 31 indexed citations
14.
Atiomo, William, et al.. (2009). Framework for a systems approach to proteomic biomarker profiling in polycystic ovary syndrome. Expert Review of Proteomics. 6(5). 469–499. 12 indexed citations
15.
Tomlinson, Emma L., Naaventhan Palaniyappan, David Tooth, & Robert Layfield. (2007). Methods for the purification of ubiquitinated Proteins. PROTEOMICS. 7(7). 1016–1022. 24 indexed citations
16.
Matharoo‐Ball, Balwir, C Hughes, Lee Lancashire, et al.. (2007). Characterization of Biomarkers in Polycystic Ovary Syndrome (PCOS) Using Multiple Distinct Proteomic Platforms. Journal of Proteome Research. 6(8). 3321–3328. 32 indexed citations
17.
Stewart, Alan J., Claudia A. Blindauer, Stephen Berezenko, et al.. (2004). Role of Tyr84 in controlling the reactivity of Cys34 of human albumin. FEBS Journal. 272(2). 353–362. 99 indexed citations
18.
Layfield, Robert, et al.. (2001). Purification of poly-ubiquitinated proteins by S5a-affinity chromatography. PROTEOMICS. 1(6). 773–777. 45 indexed citations
19.
Tooth, David. (1990). Creative expression and chronic pain. The Lancet. 336(8725). 1240–1241. 5 indexed citations
20.
Shaw, Andrew J, Andreas J. Gescher, David Tooth, Igor Linhart, & Peter B. Farmer. (1990). The reaction of alkylnitronates with glutathione. Chemical Research in Toxicology. 3(1). 27–32. 1 indexed citations

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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