David Jackson
Impact in
- Toxicology top 5%
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
- Cancer Cells and Metastasis
Papers in
-
- Computational Drug Discovery Methods 13
- Co-authors
- Theodoros Soldatos (14 shared papers)Richard E. Randall (3 shared papers)W. Gregory Sawyer (2 shared papers)Nam Ho Kim (1 shared paper)Saad M. S. Mukras (2 shared papers)David Halstead (1 shared paper)Marian J. Killip (2 shared papers)Ricky A. Kendall (1 shared paper)
- Journals
- Clinical and Translational Science (3 papers)Journal of Antimicrobial Chemotherapy (3 papers)Drug Discovery Today (3 papers)Cancers (2 papers)CPT Pharmacometrics & Systems Pharmacology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David Jackson
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 160
- Toxicology 52
- Oncology 349
- Immunology 241
- Hardware and Architecture 70
- Molecular Biology 599
Countries citing papers authored by David Jackson
This map shows the geographic impact of David Jackson'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 Jackson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Jackson more than expected).
Fields of papers citing papers by David Jackson
This network shows the impact of papers produced by David Jackson. 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 Jackson. The network helps show where David Jackson may publish in the future.
Co-authors
The 25 scholars most cited alongside David Jackson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 233 | |
| 2 | 2003 | 142 | |
| 3 | 1991 | 126 | |
| 4 | 2008 | 113 | |
| 5 | The portable batch scheduler and the maui scheduler on linux clusters | 2000 | 111 |
| 6 | 2010 | 92 | |
| 7 | 1994 | 69 | |
| 8 | 2008 | 68 | |
| 9 | 2001 | 68 | |
| 10 | 1997 | 66 | |
| 11 | 2010 | 55 | |
| 12 | 2009 | 50 | |
| 13 | 2003 | 43 | |
| 14 | 2005 | 42 | |
| 15 | 2002 | 38 | |
| 16 | 2018 | 34 | |
| 17 | 2018 | 30 | |
| 18 | 2019 | 25 | |
| 19 | 1999 | 25 | |
| 20 | 1989 | 24 |
About David Jackson
David Jackson is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Immunology and Artificial Intelligence, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (9 papers), Parallel Computing and Optimization Techniques (5 papers), Cancer Genomics and Diagnostics (5 papers), Distributed and Parallel Computing Systems (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Teaching and Learning Programming (4 papers). The work is most often cited by research in Toxicology (52 citations), Oncology (349 citations), Immunology (241 citations), Hardware and Architecture (70 citations) and Molecular Biology (599 citations). David Jackson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Theodoros Soldatos, Richard E. Randall, W. Gregory Sawyer, Nam Ho Kim, Saad M. S. Mukras, David Halstead, Marian J. Killip, Ricky A. Kendall, Georg Casari and Brett Bode. Their work appears in journals such as Clinical and Translational Science, Journal of Antimicrobial Chemotherapy, Drug Discovery Today, Cancers and CPT Pharmacometrics & Systems 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.