David J. Swaine
- Co-authors
- Paul M. LoadmanGeorge R. PettitMichael C. BibbyMarie SuggittM C BibbyKonstantina GrosiosRoger M. PhillipsPatricia A. Cooper
- Topics
- Cancer Treatment and Pharmacology (3 papers)Bioactive Compounds and Antitumor Agents (2 papers)Carcinogens and Genotoxicity Assessment (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David J. Swaine
17 papers receiving 499 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 243
- Organic Chemistry 131
- Oncology 102
- Cancer Research 100
- Biotechnology 54
Countries citing papers authored by David J. Swaine
This map shows the geographic impact of David J. Swaine'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. Swaine 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. Swaine more than expected).
Fields of papers citing papers by David J. Swaine
This network shows the impact of papers produced by David J. Swaine. 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. Swaine. The network helps show where David J. Swaine may publish in the future.
Co-authorship network of co-authors of David J. Swaine
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Swaine. A scholar is included among the top collaborators of David J. Swaine 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. Swaine. David J. Swaine 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 | 21 | |
| 3 | 51 | |
| 4 | 85 | |
| 5 | 84 | |
| 6 | 24 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | A preclinical pharmacokinetic study of the bioreductive drug AQ4N. | 16 |
| 10 | 14 | |
| 11 | Predicting tumor responses to mitomycin C on the basis of DT-diaphorase activity or drug metabolism by tumor homogenates: implications for enzyme-directed bioreductive drug development. | 32 |
| 12 | Combination chemotherapy with combretastatin A-4 phosphate and 5-fluorouracil in an experimental murine colon adenocarcinoma. | 73 |
| 13 | Angiogenesis in the hollow fiber tumor model influences drug delivery to tumor cells: implications for anticancer drug screening programs. | 37 |
| 14 | 13 | |
| 15 | 28 | |
| 16 | 1 | |
| 17 | 21 |
About David J. Swaine
David J. Swaine is a scholar working on Toxicology, Filtration and Separation and Clinical Biochemistry, having authored 17 papers that have together received 514 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Toxicology (37 citations), Cancer Research (100 citations) and Biotechnology (54 citations). David J. Swaine has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Paul M. Loadman, George R. Pettit, Michael C. Bibby, Marie Suggitt, M C Bibby, Konstantina Grosios, Roger M. Phillips, Patricia A. Cooper, Tracey D. Bradshaw and Malcolm F. G. Stevens. Their work appears in journals such as Clinical Cancer Research, Journal of Clinical Microbiology and Biochemical Pharmacology.
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.