Benjamin Pullman
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
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- Advanced Proteomics Techniques and Applications 4
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Nuno Bandeira (6 shared papers)Jeremy Carver (3 shared papers)Mingxun Wang (2 shared papers)Jian Wang (1 shared paper)Seong Won (1 shared paper)Yao Yang (2 shared papers)Stuart A. Scott (2 shared papers)C. Ronald Geyer (1 shared paper)
- Journals
- Nature Methods (1 paper)Theory of Computing Systems (1 paper)Cell Systems (1 paper)BMC Genomics (1 paper)The Pharmacogenomics Journal (1 paper)
- Partner nations
- United StatesHong KongSwitzerland
In The Last Decade
Benjamin Pullman
8 papers receiving 264 citations
Peers
Comparison fields: 5 of 65
- Spectroscopy 118
- Molecular Biology 209
- Pharmacology 11
- Clinical Biochemistry 6
- Biophysics 5
Countries citing papers authored by Benjamin Pullman
This map shows the geographic impact of Benjamin Pullman'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 Benjamin Pullman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Pullman more than expected).
Fields of papers citing papers by Benjamin Pullman
This network shows the impact of papers produced by Benjamin Pullman. 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 Benjamin Pullman. The network helps show where Benjamin Pullman may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Pullman, 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 | 2018 | 126 | |
| 2 | 2015 | 62 | |
| 3 | 2021 | 50 | |
| 4 | 2018 | 13 | |
| 5 | 2016 | 8 | |
| 6 | 2022 | 4 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 1 |
About Benjamin Pullman
Benjamin Pullman is a scholar working on Molecular Biology, Spectroscopy, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 267 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Data Management and Algorithms (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Advanced Database Systems and Queries (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Spectroscopy (118 citations), Molecular Biology (209 citations), Pharmacology (11 citations), Clinical Biochemistry (6 citations) and Biophysics (5 citations). Benjamin Pullman has collaborated with scholars based in United States, Hong Kong and Switzerland. Frequent co-authors include Nuno Bandeira, Jeremy Carver, Mingxun Wang, Jian Wang, Seong Won, Yao Yang, Stuart A. Scott, C. Ronald Geyer, Robert J. Desnick and Inga Peter. Their work appears in journals such as Nature Methods, Theory of Computing Systems, Cell Systems, BMC Genomics and The Pharmacogenomics Journal.
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.