David J. Stewart
- Molecular Biology top 10%
- Microbiology top 0.5%
- Small Animals top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Agronomy and Crop Science top 2%
- Co-authors
- B. L. ClarkChristopher R. LoweD.L. EmeryNeil M. McKernRongxiu LiJ. E. PetersonAlexander A. KorttT C Elleman
- Topics
- Microbial infections and disease research (25 papers)Biochemical and Structural Characterization (10 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)
- Cited by
- MicrobiologySmall AnimalsVirology
- Partner nations
- AustraliaCanadaUnited Kingdom
In The Last Decade
David J. Stewart
80 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 808
- Microbiology 617
- Small Animals 268
- Radiology, Nuclear Medicine and Imaging 265
- Agronomy and Crop Science 248
Countries citing papers authored by David J. Stewart
This map shows the geographic impact of David J. Stewart'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. Stewart 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. Stewart more than expected).
Fields of papers citing papers by David J. Stewart
This network shows the impact of papers produced by David J. Stewart. 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. Stewart. The network helps show where David J. Stewart may publish in the future.
Co-authorship network of co-authors of David J. Stewart
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Stewart. A scholar is included among the top collaborators of David J. Stewart 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. Stewart. David J. Stewart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | Bioavailability, pharmacodynamic activity, and anti-tumor efficacy of the CD19/CD3-specific BiTE antibody MEDI-538 (MT103) delivered subcutaneously in animal models | 2 |
| 4 | 44 | |
| 5 | 16 | |
| 6 | 288 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 38 | |
| 10 | 3 | |
| 11 | 50 | |
| 12 | 4 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 58 | |
| 17 | 8 | |
| 18 | 10 | |
| 19 | 6 | |
| 20 | 14 |
About David J. Stewart
David J. Stewart is a scholar working on Microbiology, Clinical Biochemistry and Endocrinology, having authored 81 papers that have together received 2.4k indexed citations. Recurring topics across this work include Microbial infections and disease research (25 papers), Biochemical and Structural Characterization (10 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Microbiology (617 citations), Small Animals (268 citations) and Virology (136 citations). David J. Stewart has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include B. L. Clark, Christopher R. Lowe, D.L. Emery, Neil M. McKern, Rongxiu Li, J. E. Peterson, Alexander A. Kortt, T C Elleman, R. A. Cox and Mattias Hallquist. Their work appears in journals such as Nature, Nature Biotechnology and The Journal of Immunology.
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.