Christopher D. Nelson
Impact in
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling
- Hedgehog Signaling Pathway Studies
- Protein Kinase Regulation and GTPase Signaling
- TGF-β signaling in diseases
- Redox biology and oxidative stress
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- Neuroscience and Neuropharmacology Research
Papers in
-
- Receptor Mechanisms and Signaling 10
- Hedgehog Signaling Pathway Studies 1
- TGF-β signaling in diseases 1
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Robert J. Lefkowitz (10 shared papers)Éric Reiter (3 shared papers)Seungkirl Ahn (2 shared papers)Srinivasan Madabushi (2 shared papers)Richard T. Premont (2 shared papers)Sudha K. Shenoy (2 shared papers)Kunhong Xiao (2 shared papers)William E. Miller (3 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Science (3 papers)Journal of Neuroscience (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cell (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Christopher D. Nelson
16 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 300
- Cell Biology 124
- Physiology 193
- Nephrology 49
Countries citing papers authored by Christopher D. Nelson
This map shows the geographic impact of Christopher D. Nelson'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 D. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher D. Nelson more than expected).
Fields of papers citing papers by Christopher D. Nelson
This network shows the impact of papers produced by Christopher D. Nelson. 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 D. Nelson. The network helps show where Christopher D. Nelson may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher D. Nelson, 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 | 2005 | 654 | |
| 2 | 2006 | 409 | |
| 3 | 2011 | 252 | |
| 4 | 2004 | 237 | |
| 5 | 2003 | 218 | |
| 6 | 2005 | 210 | |
| 7 | 2003 | 208 | |
| 8 | 2008 | 158 | |
| 9 | 2007 | 128 | |
| 10 | 2013 | 113 | |
| 11 | 2003 | 93 | |
| 12 | 2003 | 46 | |
| 13 | 2008 | 44 | |
| 14 | 2013 | 36 | |
| 15 | Beta-arrestin-dependent, G-protein-independent ERK1/2 activation by the beta2-adrenergic receptor | 2005 | 13 |
| 16 | 2000 | 8 |
About Christopher D. Nelson
Christopher D. Nelson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Toxicology, Biophysics and Biomaterials, having authored 16 papers that have together received 2.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (2 papers), Cholesterol and Lipid Metabolism (1 paper), Hedgehog Signaling Pathway Studies (1 paper), TGF-β signaling in diseases (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Molecular Biology (1.8k citations), Cellular and Molecular Neuroscience (300 citations), Cell Biology (124 citations), Physiology (193 citations) and Nephrology (49 citations). Christopher D. Nelson has collaborated with scholars based in United States and France. Frequent co-authors include Robert J. Lefkowitz, Éric Reiter, Seungkirl Ahn, Srinivasan Madabushi, Richard T. Premont, Sudha K. Shenoy, Kunhong Xiao, William E. Miller, Morgan Sheng and Matthew T. Drake. Their work appears in journals such as Journal of Biological Chemistry, Science, Journal of Neuroscience, Proceedings of the National Academy of Sciences and Molecular Cell.
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.