Christopher J. Matheson
- Molecular Biology
- Oncology top 10%
- Pathology and Forensic Medicine top 10%
- Organic Chemistry
- Cancer Research
- Co-authors
- Philip ReiganDonald S. BackosSteffanie L. FurtekBernard T. GoldingIan R. HardcastleRoger J. GriffinChristopher R. CoxonCéline Cano
- Topics
- Computational Drug Discovery Methods (4 papers)Microtubule and mitosis dynamics (4 papers)Melanoma and MAPK Pathways (4 papers)
- Cited by
- OncologyMolecular BiologyToxicology
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaTrends in Pharmacological Sciences
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Christopher J. Matheson
21 papers receiving 970 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 647
- Oncology 442
- Pathology and Forensic Medicine 137
- Organic Chemistry 130
- Cancer Research 128
Countries citing papers authored by Christopher J. Matheson
This map shows the geographic impact of Christopher J. Matheson'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. Matheson 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. Matheson more than expected).
Fields of papers citing papers by Christopher J. Matheson
This network shows the impact of papers produced by Christopher J. Matheson. 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. Matheson. The network helps show where Christopher J. Matheson may publish in the future.
Co-authorship network of co-authors of Christopher J. Matheson
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Matheson. A scholar is included among the top collaborators of Christopher J. Matheson 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. Matheson. Christopher J. Matheson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 20 | |
| 6 | 23 | |
| 7 | 10 | |
| 8 | 54 | |
| 9 | 306 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 48 | |
| 13 | 310 | |
| 14 | 18 | |
| 15 | 15 | |
| 16 | 31 | |
| 17 | 43 | |
| 18 | 21 | |
| 19 | 3 | |
| 20 | Images of Lawrence | 1 |
About Christopher J. Matheson
Christopher J. Matheson is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Cell Biology, having authored 22 papers that have together received 977 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Microtubule and mitosis dynamics (4 papers) and Melanoma and MAPK Pathways (4 papers). The work is most often cited by research in Oncology (442 citations), Molecular Biology (647 citations) and Toxicology (31 citations). Christopher J. Matheson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Philip Reigan, Donald S. Backos, Steffanie L. Furtek, Bernard T. Golding, Ian R. Hardcastle, Roger J. Griffin, Christopher R. Coxon, Céline Cano, David M. Turner and Sujatha Venkataraman. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Trends in Pharmacological Sciences.
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.