Stephen Tanner
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 11
- Mass Spectrometry Techniques and Applications 9
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 4
- Machine Learning in Bioinformatics 3
- Metabolomics and Mass Spectrometry Studies 3
- Identification and Quantification in Food 2
- Clinical Biochemistry top 5%
- Genetics top 10%
- Genomic variations and chromosomal abnormalities 3
- Cell Biology top 10%
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Vineet BafnaPavel A. PevznerThomas E. CheathamJianyin ShaoAri FrankEbrahim ZandiHongjun ShuMarc C. Mumby
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Stephen Tanner
17 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Spectroscopy 1.2k
- Molecular Biology 2.5k
- Clinical Biochemistry 103
- Genetics 259
- Cell Biology 150
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-authorship network
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 | 2016 | 7 | |
| 2 | 2016 | 94 | |
| 3 | 2013 | 189 | |
| 4 | 2008 | 12 | |
| 5 | 2008 | 49 | |
| 6 | 2007 | 159 | |
| 7 | Clustering Molecular Dynamics Trajectories: 1. Characterizing the Performance of Different Clustering Algorithmsbreakdown → | 2007 | 703 |
| 8 | 2007 | 197 | |
| 9 | 2007 | 42 | |
| 10 | 2006 | 144 | |
| 11 | 2006 | 32 | |
| 12 | 2006 | 341 | |
| 13 | 2006 | 247 | |
| 14 | 2005 | 22 | |
| 15 | 2005 | 204 | |
| 16 | 2005 | 464 | |
| 17 | 2005 | 95 |
About Stephen Tanner
Stephen Tanner is a scholar working on Spectroscopy, Molecular Biology 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), Genomics and Phylogenetic Studies (4 papers), Machine Learning in Bioinformatics (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Cancer Genomics and Diagnostics (2 papers) and Identification and Quantification in Food (2 papers). The work is most often cited by research in Spectroscopy (1.2k citations), Molecular Biology (2.5k citations) and Clinical Biochemistry (103 citations). Stephen Tanner has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Vineet Bafna, Pavel A. Pevzner, Thomas E. Cheatham, Jianyin Shao, Ari Frank, Ebrahim Zandi, Hongjun Shu, Marc C. Mumby, Zhouxin Shen and Steven P. Briggs. Their work appears in journals such as Journal of Proteome Research, Bioinformatics, Genome Research, BMC Bioinformatics and 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.