Stephen Tanner
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Connexins and lens biology
- Machine Learning in Bioinformatics
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Identification and Quantification in Food 2
- Machine Learning in Bioinformatics 2
- RNA and protein synthesis mechanisms 2
- Spectroscopy 11
- Advanced Proteomics Techniques and Applications 11
- Mass Spectrometry Techniques and Applications 9
- Co-authors
- Vineet Bafna (10 shared papers)Pavel A. Pevzner (8 shared papers)Jianyin Shao (1 shared paper)Thomas E. Cheatham (1 shared paper)Ari Frank (3 shared papers)Ebrahim Zandi (3 shared papers)Marc C. Mumby (1 shared paper)Hongjun Shu (1 shared paper)
- Journals
- Journal of Proteome Research (5 papers)Bioinformatics (3 papers)Genome Research (2 papers)BMC Bioinformatics (1 paper)Nature Protocols (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Stephen Tanner
17 papers receiving 3.0k citations
Stephen Tanner's Hit Papers
Peers
Comparison fields: 5 of 133
- Spectroscopy 1.2k
- Molecular Biology 2.3k
- Clinical Biochemistry 83
- Cell Biology 140
- Computational Theory and Mathematics 139
Countries citing papers authored by Stephen Tanner
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
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-authors
The 25 scholars most cited alongside Stephen Tanner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Clustering Molecular Dynamics Trajectories: 1. Characterizing the Performance of Different Clustering Algorithms Hit paper breakdown → | 2007 | 710 |
| 2 | 2005 | 465 | |
| 3 | 2006 | 347 | |
| 4 | 2006 | 249 | |
| 5 | 2005 | 205 | |
| 6 | 2007 | 199 | |
| 7 | 2013 | 190 | |
| 8 | 2007 | 159 | |
| 9 | 2006 | 145 | |
| 10 | 2016 | 99 | |
| 11 | 2005 | 97 | |
| 12 | 2008 | 49 | |
| 13 | 2007 | 42 | |
| 14 | 2006 | 32 | |
| 15 | 2005 | 22 | |
| 16 | 2008 | 12 | |
| 17 | 2016 | 7 |
About Stephen Tanner
Stephen Tanner is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Organic Chemistry and Urology, having authored 17 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Identification and Quantification in Food (2 papers), Machine Learning in Bioinformatics (2 papers), RNA and protein synthesis mechanisms (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Spectroscopy (1.2k citations), Molecular Biology (2.3k citations), Clinical Biochemistry (83 citations), Cell Biology (140 citations) and Computational Theory and Mathematics (139 citations). Stephen Tanner has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Vineet Bafna, Pavel A. Pevzner, Jianyin Shao, Thomas E. Cheatham, Ari Frank, Ebrahim Zandi, Marc C. Mumby, Hongjun Shu, Zhouxin Shen and Steven P. Briggs. Their work appears in journals such as Journal of Proteome Research, Bioinformatics, Genome Research, BMC Bioinformatics and Nature Protocols.
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.