David J. Matthews
- Molecular Biology top 5%
- Immunology top 2%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Physiology top 5%
- Co-authors
- James A. WellsAndrew N. J. McKenziePadraic G. FallonMichael J. TownsendHelen E. JolinRobin E. CallardLinda HibbertPhilip L. Smith
- Topics
- Monoclonal and Polyclonal Antibodies Research (9 papers)PI3K/AKT/mTOR signaling in cancer (5 papers)Chronic Lymphocytic Leukemia Research (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
David J. Matthews
61 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.3k
- Immunology 1.2k
- Oncology 682
- Radiology, Nuclear Medicine and Imaging 491
- Physiology 462
Countries citing papers authored by David J. Matthews
This map shows the geographic impact of David J. Matthews'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 David J. Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Matthews more than expected).
Fields of papers citing papers by David J. Matthews
This network shows the impact of papers produced by David J. Matthews. 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 David J. Matthews. The network helps show where David J. Matthews may publish in the future.
Co-authorship network of co-authors of David J. Matthews
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Matthews. A scholar is included among the top collaborators of David J. Matthews 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 David J. Matthews. David J. Matthews 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 | 3 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 15 | |
| 6 | 7 | |
| 7 | 26 | |
| 8 | 97 | |
| 9 | 94 | |
| 10 | In vitro and in vivo potentiation of cytotoxic therapy by XL844, an orally bioavailable inhibitor of Chk1 and Chk2 | 1 |
| 11 | 109 | |
| 12 | 39 | |
| 13 | 38 | |
| 14 | 129 | |
| 15 | 36 | |
| 16 | 149 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | 89 | |
| 20 | 10 |
About David J. Matthews
David J. Matthews is a scholar working on Immunology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 61 papers that have together received 3.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Immunology (1.2k citations), Hematology (344 citations) and Immunology and Allergy (181 citations). David J. Matthews has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include James A. Wells, Andrew N. J. McKenzie, Padraic G. Fallon, Michael J. Townsend, Helen E. Jolin, Robin E. Callard, Linda Hibbert, Philip L. Smith, Hangjun Zhan and Thomas J. Stout. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of 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.