Christopher J. Clarke
- Molecular Biology top 2%
- Epidemiology top 2%
- Immunology top 2%
- Cell Biology top 1%
- Physiology top 5%
- Co-authors
- Yusuf A. HannunRicky W. JohnstoneDaniel J. GoughDavid T. LevyBill X. WuNicole L. MessinaDianne LittleHon Wai Lam
- Topics
- Sphingolipid Metabolism and Signaling (42 papers)Lipid Membrane Structure and Behavior (19 papers)Cellular transport and secretion (18 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Christopher J. Clarke
123 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 145
- Molecular Biology 3.4k
- Epidemiology 1.5k
- Immunology 1.4k
- Cell Biology 776
- Physiology 716
Countries citing papers authored by Christopher J. Clarke
This map shows the geographic impact of Christopher J. Clarke'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 J. Clarke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Clarke more than expected).
Fields of papers citing papers by Christopher J. Clarke
This network shows the impact of papers produced by Christopher J. Clarke. 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 J. Clarke. The network helps show where Christopher J. Clarke may publish in the future.
Co-authorship network of co-authors of Christopher J. Clarke
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Clarke. A scholar is included among the top collaborators of Christopher J. Clarke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher J. Clarke. Christopher J. Clarke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 66 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 69 | |
| 6 | 8 | |
| 7 | 41 | |
| 8 | 40 | |
| 9 | 183 | |
| 10 | 33 | |
| 11 | 19 | |
| 12 | 59 | |
| 13 | 63 | |
| 14 | 110 | |
| 15 | 17 | |
| 16 | 165 | |
| 17 | 12 | |
| 18 | 56 | |
| 19 | 65 | |
| 20 | 6 |
About Christopher J. Clarke
Christopher J. Clarke is a scholar working on Cell Biology, Immunology and Pharmacology, having authored 125 papers that have together received 6.4k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (42 papers), Lipid Membrane Structure and Behavior (19 papers) and Cellular transport and secretion (18 papers). The work is most often cited by research in Immunology (1.4k citations), Small Animals (426 citations) and Molecular Biology (3.4k citations). Christopher J. Clarke has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Yusuf A. Hannun, Ricky W. Johnstone, Daniel J. Gough, David T. Levy, Bill X. Wu, Nicole L. Messina, Dianne Little, Hon Wai Lam, Lina M. Obeid and John N. Haselden. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.