Stephen Tanner

4.1k total citations · 1 hit paper
17 papers, 3.0k citations indexed

About

Stephen Tanner is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Stephen Tanner has authored 17 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Spectroscopy and 3 papers in Genetics. Recurrent topics in Stephen Tanner's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (9 papers) and Genomics and Phylogenetic Studies (4 papers). Stephen Tanner is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (9 papers) and Genomics and Phylogenetic Studies (4 papers). Stephen Tanner collaborates with scholars based in United States, United Kingdom and Spain. Stephen Tanner's co-authors include Vineet Bafna, Pavel A. Pevzner, Thomas E. Cheatham, Jianyin Shao, Ari Frank, Ebrahim Zandi, Marc C. Mumby, Hongjun Shu, Steven P. Briggs and Zhouxin Shen and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Analytical Chemistry.

In The Last Decade

Stephen Tanner

17 papers receiving 2.9k citations

Hit Papers

Clustering Molecular Dynamics Trajectories: 1. Characteri... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Tanner United States 15 2.5k 1.2k 259 189 181 17 3.0k
Gavain M.A. Sweetman United Kingdom 14 2.3k 0.9× 1.6k 1.4× 123 0.5× 152 0.8× 94 0.5× 19 3.0k
Scott A. Busby United States 26 2.4k 1.0× 733 0.6× 479 1.8× 344 1.8× 134 0.7× 37 3.6k
Evgeniy V. Petrotchenko Canada 30 1.7k 0.7× 818 0.7× 183 0.7× 129 0.7× 162 0.9× 60 2.5k
Thomas E. Wales United States 31 2.6k 1.1× 951 0.8× 168 0.6× 316 1.7× 151 0.8× 89 3.8k
Bruce D. Pascal United States 25 1.7k 0.7× 667 0.6× 293 1.1× 115 0.6× 58 0.3× 43 2.4k
Claire E. Eyers United Kingdom 33 2.5k 1.0× 1.6k 1.4× 116 0.4× 193 1.0× 281 1.6× 98 3.7k
Thilo Werner Germany 21 2.8k 1.1× 1.3k 1.1× 122 0.5× 326 1.7× 347 1.9× 25 3.5k
Christie L. Hunter United States 23 2.4k 1.0× 1.6k 1.4× 161 0.6× 204 1.1× 80 0.4× 42 3.6k
Si‐Min He China 29 2.6k 1.1× 1.6k 1.4× 146 0.6× 183 1.0× 213 1.2× 77 3.3k
Peter R. Baker United States 23 2.0k 0.8× 1.3k 1.1× 187 0.7× 284 1.5× 108 0.6× 50 2.8k

Countries citing papers authored by Stephen Tanner

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Tanner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Tanner

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Tanner. A scholar is included among the top collaborators of Stephen Tanner 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 Stephen Tanner. Stephen Tanner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Ivakhno, Sergii, Camilla Colombo, Stephen Tanner, et al.. (2016). tHapMix: simulating tumour samples through haplotype mixtures. Bioinformatics. 33(2). 280–282. 7 indexed citations
2.
Roller, Eric, Sergii Ivakhno, Stephen Lee, Thomas Royce, & Stephen Tanner. (2016). Canvas: versatile and scalable detection of copy number variants. Bioinformatics. 32(15). 2375–2377. 94 indexed citations
3.
Saunders, Christopher T., Ilya Chorny, Semyon Kruglyak, et al.. (2013). Isaac: ultra-fast whole-genome secondary analysis on Illumina sequencing platforms. Bioinformatics. 29(16). 2041–2043. 189 indexed citations
4.
Tanner, Stephen & Pankaj Agarwal. (2008). Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments. BMC Bioinformatics. 9(1). 348–348. 12 indexed citations
5.
Payne, Samuel, et al.. (2008). Phosphorylation-Specific MS/MS Scoring for Rapid and Accurate Phosphoproteome Analysis. Journal of Proteome Research. 7(8). 3373–3381. 49 indexed citations
6.
Gupta, Nitin, Stephen Tanner, Navdeep Jaitly, et al.. (2007). Whole proteome analysis of post-translational modifications: Applications of mass-spectrometry for proteogenomic annotation. Genome Research. 17(9). 1362–1377. 159 indexed citations
7.
Shao, Jianyin, et al.. (2007). Clustering Molecular Dynamics Trajectories: 1. Characterizing the Performance of Different Clustering Algorithms. Journal of Chemical Theory and Computation. 3(6). 2312–2334. 703 indexed citations breakdown →
8.
Frank, Ari, Nuno Bandeira, Zhouxin Shen, et al.. (2007). Clustering Millions of Tandem Mass Spectra. Journal of Proteome Research. 7(1). 113–122. 197 indexed citations
9.
Tanner, Stephen, Samuel Payne, Surendra Dasari, et al.. (2007). Accurate Annotation of Peptide Modifications through Unrestrictive Database Search. Journal of Proteome Research. 7(1). 170–181. 42 indexed citations
10.
Tanner, Stephen, Pavel A. Pevzner, & Vineet Bafna. (2006). Unrestrictive identification of post-translational modifications through peptide mass spectrometry. Nature Protocols. 1(1). 67–72. 32 indexed citations
11.
Tanner, Stephen, Zhouxin Shen, Julio Ng, et al.. (2006). Improving gene annotation using peptide mass spectrometry. Genome Research. 17(2). 231–239. 144 indexed citations
12.
Patricelli, Matthew P., Anna Katrin Szardenings, Marek Liyanage, et al.. (2006). Functional Interrogation of the Kinome Using Nucleotide Acyl Phosphates. Biochemistry. 46(2). 350–358. 341 indexed citations
13.
Wilmarth, Phillip A., Stephen Tanner, Surendra Dasari, et al.. (2006). Age-Related Changes in Human Crystallins Determined from Comparative Analysis of Post-translational Modifications in Young and Aged Lens:  Does Deamidation Contribute to Crystallin Insolubility?. Journal of Proteome Research. 5(10). 2554–2566. 247 indexed citations
14.
Tsur, Dekel, Stephen Tanner, Ebrahim Zandi, Vineet Bafna, & Pavel A. Pevzner. (2005). Identification of post-translational modifications via blind search of mass-spectra. PubMed. 7. 157–166. 22 indexed citations
15.
Tanner, Stephen, Hongjun Shu, Ari Frank, et al.. (2005). InsPecT:  Identification of Posttranslationally Modified Peptides from Tandem Mass Spectra. Analytical Chemistry. 77(14). 4626–4639. 464 indexed citations
16.
Tsur, Dekel, Stephen Tanner, Ebrahim Zandi, Vineet Bafna, & Pavel A. Pevzner. (2005). Identification of post-translational modifications by blind search of mass spectra. Nature Biotechnology. 23(12). 1562–1567. 204 indexed citations
17.
Frank, Ari, Stephen Tanner, Vineet Bafna, & Pavel A. Pevzner. (2005). Peptide Sequence Tags for Fast Database Search in Mass-Spectrometry. Journal of Proteome Research. 4(4). 1287–1295. 95 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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