Christopher M. Browne
Impact in
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- Click Chemistry and Applications
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- Protein Degradation and Inhibitors
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Chemical Synthesis and Analysis
- RNA Research and Splicing
Papers in
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- RNA and protein synthesis mechanisms 5
- Protein Degradation and Inhibitors 3
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Oncology 3
- Peptidase Inhibition and Analysis 2
- Cancer-related Molecular Pathways 1
- Co-authors
- Scott B. Ficarro (4 shared papers)Jarrod A. Marto (4 shared papers)Nathanael S. Gray (4 shared papers)Parimal Samir (5 shared papers)Andrew J. Link (5 shared papers)Ming Sun (3 shared papers)Joachim Frank (3 shared papers)Tinghu Zhang (2 shared papers)
- Journals
- PROTEOMICS (4 papers)Cell chemical biology (2 papers)Journal of the American Chemical Society (1 paper)Analytical Chemistry (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesSouth KoreaRussia
In The Last Decade
Christopher M. Browne
9 papers receiving 206 citations
Peers
Comparison fields: 5 of 44
- Organic Chemistry 78
- Molecular Biology 164
- Oncology 54
- Computational Theory and Mathematics 23
- Cell Biology 23
Countries citing papers authored by Christopher M. Browne
This map shows the geographic impact of Christopher M. Browne'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 Christopher M. Browne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Browne more than expected).
Fields of papers citing papers by Christopher M. Browne
This network shows the impact of papers produced by Christopher M. Browne. 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 Christopher M. Browne. The network helps show where Christopher M. Browne may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher M. Browne, 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 | 56 | |
| 2 | 2019 | 51 | |
| 3 | 2018 | 33 | |
| 4 | 2016 | 26 | |
| 5 | 2019 | 19 | |
| 6 | 2012 | 11 | |
| 7 | 2020 | 8 | |
| 8 | 2018 | 4 | |
| 9 | 2020 | 2 |
About Christopher M. Browne
Christopher M. Browne is a scholar working on Molecular Biology, Oncology, Cell Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 210 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Protein Degradation and Inhibitors (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Peptidase Inhibition and Analysis (2 papers), Cancer-related Molecular Pathways (1 paper), Click Chemistry and Applications (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Organic Chemistry (78 citations), Molecular Biology (164 citations), Oncology (54 citations), Computational Theory and Mathematics (23 citations) and Cell Biology (23 citations). Christopher M. Browne has collaborated with scholars based in United States, South Korea and Russia. Frequent co-authors include Scott B. Ficarro, Jarrod A. Marto, Nathanael S. Gray, Parimal Samir, Andrew J. Link, Ming Sun, Joachim Frank, Tinghu Zhang, Lewis C. Cantley and Jared L. Johnson. Their work appears in journals such as PROTEOMICS, Cell chemical biology, Journal of the American Chemical Society, Analytical Chemistry and Molecular and Cellular Biology.
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.