Benjamin D. Stein
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
Papers in
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- Metabolism, Diabetes, and Cancer 2
- RNA modifications and cancer 2
- Metabolomics and Mass Spectrometry Studies 2
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- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- John R. Yates (5 shared papers)Christine C. Wu (1 shared paper)Jeffrey N. Savas (1 shared paper)Lewis C. Cantley (4 shared papers)Kristofor J. Webb (1 shared paper)Bryan R. Fonslow (1 shared paper)Tao Xu (1 shared paper)Jeong H. Choi (1 shared paper)
- Journals
- Journal of Proteome Research (2 papers)Nature Methods (1 paper)Journal of the American Chemical Society (1 paper)Science (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Benjamin D. Stein
9 papers receiving 416 citations
Peers
Comparison fields: 5 of 83
- Spectroscopy 111
- Molecular Biology 296
- Cancer Research 47
- Cell Biology 39
- Clinical Biochemistry 14
Countries citing papers authored by Benjamin D. Stein
This map shows the geographic impact of Benjamin D. Stein'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 D. Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin D. Stein more than expected).
Fields of papers citing papers by Benjamin D. Stein
This network shows the impact of papers produced by Benjamin D. Stein. 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 D. Stein. The network helps show where Benjamin D. Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin D. Stein, 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 | 2012 | 92 | |
| 2 | 2018 | 76 | |
| 3 | 2011 | 73 | |
| 4 | 2015 | 57 | |
| 5 | 2024 | 46 | |
| 6 | 2019 | 29 | |
| 7 | 2008 | 23 | |
| 8 | 2023 | 20 | |
| 9 | 2019 | 5 | |
| 10 | 2025 | 0 |
About Benjamin D. Stein
Benjamin D. Stein is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Infectious Diseases and Surgery, having authored 10 papers that have together received 421 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Metabolism, Diabetes, and Cancer (2 papers), RNA modifications and cancer (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Pancreatic function and diabetes (1 paper), Cancer Genomics and Diagnostics (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Spectroscopy (111 citations), Molecular Biology (296 citations), Cancer Research (47 citations), Cell Biology (39 citations) and Clinical Biochemistry (14 citations). Benjamin D. Stein has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include John R. Yates, Christine C. Wu, Jeffrey N. Savas, Lewis C. Cantley, Kristofor J. Webb, Bryan R. Fonslow, Tao Xu, Jeong H. Choi, Sung Kyu Park and Reuben J. Shaw. Their work appears in journals such as Journal of Proteome Research, Nature Methods, Journal of the American Chemical Society, Science and Cell Reports.
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.