Ari Frank
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Identification and Quantification in Food
- Glycosylation and Glycoproteins Research
Papers in
- Spectroscopy 16
- Advanced Proteomics Techniques and Applications 16
- Mass Spectrometry Techniques and Applications 16
- Analytical Chemistry and Chromatography 1
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- Metabolomics and Mass Spectrometry Studies 6
- Machine Learning in Bioinformatics 5
- Identification and Quantification in Food 3
- Genomics and Phylogenetic Studies 1
- Co-authors
- Pavel A. Pevzner (13 shared papers)Stephen Tanner (4 shared papers)Nuno Bandeira (5 shared papers)Vineet Bafna (2 shared papers)Marc C. Mumby (1 shared paper)Hongjun Shu (1 shared paper)Ebrahim Zandi (1 shared paper)Richard Smith (2 shared papers)
- Journals
- Journal of Proteome Research (7 papers)Analytical Chemistry (3 papers)Proceedings of the National Academy of Sciences (1 paper)PROTEOMICS (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Ari Frank
16 papers receiving 2.1k citations
Ari Frank's Hit Papers
Peers
Comparison fields: 5 of 104
- Spectroscopy 1.6k
- Molecular Biology 1.7k
- Microbiology 48
- Pharmacology 85
- Biotechnology 30
Countries citing papers authored by Ari Frank
This map shows the geographic impact of Ari Frank'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 Ari Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari Frank more than expected).
Fields of papers citing papers by Ari Frank
This network shows the impact of papers produced by Ari Frank. 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 Ari Frank. The network helps show where Ari Frank may publish in the future.
Co-authors
The 25 scholars most cited alongside Ari Frank, 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 | PepNovo: De Novo Peptide Sequencing via Probabilistic Network Modeling Hit paper breakdown → | 2005 | 546 |
| 2 | 2005 | 489 | |
| 3 | 2007 | 205 | |
| 4 | 2006 | 166 | |
| 5 | 2007 | 138 | |
| 6 | 2005 | 105 | |
| 7 | 2007 | 89 | |
| 8 | 2011 | 78 | |
| 9 | 2009 | 70 | |
| 10 | 2008 | 64 | |
| 11 | 2009 | 64 | |
| 12 | 2013 | 57 | |
| 13 | 2006 | 39 | |
| 14 | Predicting execution bottlenecks in map-reduce clusters | 2012 | 38 |
| 15 | 2005 | 11 | |
| 16 | 2006 | 11 | |
| 17 | Algorithms for tandem mass spectrometry-based proteomics | 2008 | 0 |
About Ari Frank
Ari Frank is a scholar working on Spectroscopy, Molecular Biology, Computer Networks and Communications, Information Systems and Infectious Diseases, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (16 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Machine Learning in Bioinformatics (5 papers), Identification and Quantification in Food (3 papers), Genomics and Phylogenetic Studies (1 paper), Analytical Chemistry and Chromatography (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Spectroscopy (1.6k citations), Molecular Biology (1.7k citations), Microbiology (48 citations), Pharmacology (85 citations) and Biotechnology (30 citations). Ari Frank has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Pavel A. Pevzner, Stephen Tanner, Nuno Bandeira, Vineet Bafna, Marc C. Mumby, Hongjun Shu, Ebrahim Zandi, Richard Smith, Dekel Tsur and Michael L. Nielsen. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, Proceedings of the National Academy of Sciences, PROTEOMICS and Nature Methods.
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.