John S. Cottrell

11.3k total citations · 1 hit paper
41 papers, 8.8k citations indexed

About

John S. Cottrell is a scholar working on Spectroscopy, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, John S. Cottrell has authored 41 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Spectroscopy, 20 papers in Molecular Biology and 8 papers in Analytical Chemistry. Recurrent topics in John S. Cottrell's work include Mass Spectrometry Techniques and Applications (28 papers), Advanced Proteomics Techniques and Applications (18 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). John S. Cottrell is often cited by papers focused on Mass Spectrometry Techniques and Applications (28 papers), Advanced Proteomics Techniques and Applications (18 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). John S. Cottrell collaborates with scholars based in United Kingdom, United States and Australia. John S. Cottrell's co-authors include David M. Creasy, Darryl Pappin, David N. Perkins, Chris W. Sutton, Richard M. Caprioli, Terry Fan, Walter Blackstock, Jyoti S. Choudhary, Colin Wheeler and Joseph M. Corbett and has published in prestigious journals such as Science, Nature Biotechnology and Gastroenterology.

In The Last Decade

John S. Cottrell

40 papers receiving 8.5k citations

Hit Papers

Probability-based protein identification by searching seq... 1999 2026 2008 2017 1999 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John S. Cottrell United Kingdom 21 6.0k 4.3k 534 534 460 41 8.8k
David M. Creasy United Kingdom 10 5.6k 0.9× 3.6k 0.8× 490 0.9× 489 0.9× 430 0.9× 13 7.5k
Ashley L. McCormack United States 25 6.3k 1.0× 4.4k 1.0× 829 1.6× 250 0.5× 702 1.5× 35 9.0k
Brendan MacLean United States 35 6.5k 1.1× 4.3k 1.0× 537 1.0× 368 0.7× 562 1.2× 59 9.4k
David Schieltz United States 29 5.7k 0.9× 2.6k 0.6× 718 1.3× 553 1.0× 392 0.9× 49 7.3k
Andrew A. Gooley Australia 39 4.4k 0.7× 2.4k 0.6× 559 1.0× 436 0.8× 639 1.4× 111 6.7k
Lennart Martens Belgium 56 9.4k 1.6× 5.6k 1.3× 582 1.1× 403 0.8× 450 1.0× 273 12.1k
Eugene Kolker United States 29 7.5k 1.2× 3.6k 0.8× 826 1.5× 546 1.0× 701 1.5× 94 10.8k
David L. Tabb United States 44 8.6k 1.4× 5.1k 1.2× 845 1.6× 530 1.0× 829 1.8× 112 12.2k
Matthew Monroe United States 46 5.0k 0.8× 3.2k 0.7× 349 0.7× 232 0.4× 524 1.1× 141 7.5k
Philip Andrews United States 52 5.5k 0.9× 1.8k 0.4× 812 1.5× 459 0.9× 680 1.5× 221 9.0k

Countries citing papers authored by John S. Cottrell

Since Specialization
Citations

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

Fields of papers citing papers by John S. Cottrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Cottrell. 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 John S. Cottrell. The network helps show where John S. Cottrell may publish in the future.

Co-authorship network of co-authors of John S. Cottrell

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Cottrell. A scholar is included among the top collaborators of John S. Cottrell 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 John S. Cottrell. John S. Cottrell 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.
Seymour, Sean L., Terry Farrah, Pierre‐Alain Binz, et al.. (2014). A standardized framing for reporting protein identifications in mzIdentML 1.2. PROTEOMICS. 14(21-22). 2389–2399. 16 indexed citations
2.
Cottrell, John S.. (2011). Protein identification using MS/MS data. Journal of Proteomics. 74(10). 1842–1851. 134 indexed citations
3.
Emery, P., et al.. (2011). Hierarchical Clustering of Shotgun Proteomics Data. Molecular & Cellular Proteomics. 10(6). M110.003822–M110.003822. 41 indexed citations
4.
Asara, John M., Mary H. Schweitzer, Lewis C. Cantley, & John S. Cottrell. (2008). Response to Comment on "Protein Sequences from Mastodon and Tyrannosaurus rex Revealed by Mass Spectrometry". Science. 321(5892). 1040–1040. 12 indexed citations
5.
Cottrell, John S., et al.. (2007). Multiple tier 3 engine applications based on global modelling. MTZ worldwide. 68(6). 17–20. 5 indexed citations
6.
Creasy, David M. & John S. Cottrell. (2004). Unimod: Protein modifications for mass spectrometry. PROTEOMICS. 4(6). 1534–1536. 259 indexed citations
7.
Cottrell, John S. & Chris W. Sutton. (2003). The Identification of Electrophoretically Separated Proteins by Peptide Mass Fingerprinting. PubMed. 61. 67–82. 4 indexed citations
8.
Creasy, David M. & John S. Cottrell. (2002). Error tolerant searching of uninterpreted tandem mass spectrometry data. PROTEOMICS. 2(10). 1426–1434. 183 indexed citations
9.
Choudhary, Jyoti S., Walter Blackstock, David M. Creasy, & John S. Cottrell. (2001). Interrogating the human genome using uninterpreted mass spectrometry data. PROTEOMICS. 1(5). 651–667. 71 indexed citations
10.
Choudhary, Jyoti S., Walter Blackstock, David M. Creasy, & John S. Cottrell. (2001). Matching peptide mass spectra to EST and genomic DNA databases. Trends in biotechnology. 19(10). S17–S22. 52 indexed citations
11.
Choudhary, Jyoti S., Walter Blackstock, David M. Creasy, & John S. Cottrell. (2001). Matching peptide mass spectra to EST and genomic DNA databases. Trends in biotechnology. 19. 17–22. 11 indexed citations
12.
Perkins, David N., Darryl Pappin, David M. Creasy, & John S. Cottrell. (1999). Probability-based protein identification by searching sequence databases using mass spectrometry data. Electrophoresis. 20(18). 3551–3567. 6729 indexed citations breakdown →
13.
Cawley, Helen, Stephen J. Meltzer, Monica Hollstein, et al.. (1998). Anti-p53 antibodies in patients with Barrett's esophagus or esophageal carcinoma can predate cancer diagnosis. Gastroenterology. 115(1). 19–27. 68 indexed citations
14.
Sutton, Chris W., et al.. (1997). The analysis of myocardial proteins by infrared and ultraviolet laser desorption mass spectrometry. Electrophoresis. 18(3-4). 424–431. 26 indexed citations
15.
Sutton, Chris W., John S. Cottrell, Joseph M. Corbett, et al.. (1995). Identification of myocardial proteins from two‐dimensional gels by peptide mass fingerprinting. Electrophoresis. 16(1). 308–316. 94 indexed citations
16.
Cottrell, John S., et al.. (1995). The characterization of synthetic polymers by matrix‐assisted laser desorption/ionization mass spectrometry. Rapid Communications in Mass Spectrometry. 9(15). 1562–1564. 30 indexed citations
17.
Sutton, Chris W., et al.. (1994). Site-Specific Characterization of Glycoprotein Carbohydrates by Exoglycosidase Digestion and Laser-Desorption Mass Spectrometry. Analytical Biochemistry. 218(1). 34–46. 131 indexed citations
18.
Sutton, Chris W., et al.. (1992). Sample immobilization protocols for matrix‐asssisted laser‐desorption mass spectrometry. Rapid Communications in Mass Spectrometry. 6(4). 233–238. 105 indexed citations
19.
Cottrell, John S., et al.. (1991). The analysis of underivatised oligosaccharides by Matrix-Assisted Laser Desorption Mass Spectrometry. Biochemical and Biophysical Research Communications. 177(2). 644–651. 98 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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