Jonathan Rameseder
Impact in
- Aging top 10%
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Ubiquitin and proteasome pathways 2
- Genomics and Chromatin Dynamics 2
- Metabolomics and Mass Spectrometry Studies 2
- DNA Repair Mechanisms 1
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- Microtubule and mitosis dynamics 2
- Co-authors
- Michael B. Yaffe (4 shared papers)Yi Zhang (1 shared paper)Jarrod A. Marto (1 shared paper)Daniel Lim (1 shared paper)Kathleen Ottina (1 shared paper)David M. Sabatini (1 shared paper)Timothy R. Peterson (1 shared paper)Seong A. Kang (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (2 papers)PLoS ONE (1 paper)Nucleic Acids Research (1 paper)PROTEOMICS (1 paper)Science (1 paper)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Jonathan Rameseder
8 papers receiving 1.7k citations
Jonathan Rameseder's Hit Papers
Peers
Comparison fields: 5 of 99
- Aging 37
- Spectroscopy 352
- Molecular Biology 1.3k
- Cell Biology 234
- Cancer Research 90
Countries citing papers authored by Jonathan Rameseder
This map shows the geographic impact of Jonathan Rameseder'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 Jonathan Rameseder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Rameseder more than expected).
Fields of papers citing papers by Jonathan Rameseder
This network shows the impact of papers produced by Jonathan Rameseder. 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 Jonathan Rameseder. The network helps show where Jonathan Rameseder may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Rameseder, 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 | The mTOR-Regulated Phosphoproteome Reveals a Mechanism of mTORC1-Mediated Inhibition of Growth Factor Signaling Hit paper breakdown → | 2011 | 886 |
| 2 | 2009 | 251 | |
| 3 | 2009 | 205 | |
| 4 | 2008 | 183 | |
| 5 | 2011 | 80 | |
| 6 | 2011 | 64 | |
| 7 | 2013 | 46 | |
| 8 | 2015 | 9 |
About Jonathan Rameseder
Jonathan Rameseder is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Epidemiology and Clinical Biochemistry, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Streptococcal Infections and Treatments (1 paper), DNA Repair Mechanisms (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Aging (37 citations), Spectroscopy (352 citations), Molecular Biology (1.3k citations), Cell Biology (234 citations) and Cancer Research (90 citations). Jonathan Rameseder has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Michael B. Yaffe, Yi Zhang, Jarrod A. Marto, Daniel Lim, Kathleen Ottina, David M. Sabatini, Timothy R. Peterson, Seong A. Kang, Peggy P. Hsu and Yongmun Choi. Their work appears in journals such as Molecular & Cellular Proteomics, PLoS ONE, Nucleic Acids Research, PROTEOMICS and Science.
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.