David Bishop
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
- Oncology 13
- CAR-T cell therapy research 13
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- RNA Research and Splicing 3
- Viral Infectious Diseases and Gene Expression in Insects 3
- Co-authors
- Kenneth Micklethwaite (15 shared papers)David Gottlieb (13 shared papers)Emily Blyth (9 shared papers)Leighton Clancy (7 shared papers)William C. Loftus (1 shared paper)Manuel S. Malmierca (1 shared paper)Douglas L. Oliver (1 shared paper)Ming‐Celine Dubosq (3 shared papers)
- Journals
- Cytotherapy (6 papers)Blood (2 papers)The Journal of Immunology (2 papers)Nature Communications (1 paper)Experimental Biology and Medicine (1 paper)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
David Bishop
22 papers receiving 684 citations
Peers
Comparison fields: 5 of 74
- Oncology 371
- Sensory Systems 64
- Immunology 133
- Genetics 173
- Cognitive Neuroscience 67
Countries citing papers authored by David Bishop
This map shows the geographic impact of David Bishop'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 Bishop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bishop more than expected).
Fields of papers citing papers by David Bishop
This network shows the impact of papers produced by David Bishop. 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 Bishop. The network helps show where David Bishop may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bishop, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 151 | |
| 2 | 2017 | 106 | |
| 3 | 2008 | 100 | |
| 4 | 2015 | 81 | |
| 5 | 2003 | 50 | |
| 6 | 2018 | 45 | |
| 7 | 2021 | 33 | |
| 8 | 2023 | 29 | |
| 9 | 1967 | 26 | |
| 10 | 2023 | 21 | |
| 11 | 2020 | 17 | |
| 12 | 2019 | 10 | |
| 13 | 1971 | 8 | |
| 14 | 2022 | 5 | |
| 15 | 1970 | 5 | |
| 16 | 2006 | 1 | |
| 17 | 1965 | 1 | |
| 18 | 2017 | 1 | |
| 19 | Use of Online Tools in Teaching C++ Programming to Freshmen in All Engineering Majors | 2013 | 1 |
| 20 | 2018 | 1 |
About David Bishop
David Bishop is a scholar working on Oncology, Molecular Biology, Genetics, Immunology and Biomedical Engineering, having authored 26 papers that have together received 694 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Virus-based gene therapy research (6 papers), Immune Cell Function and Interaction (4 papers), RNA Research and Splicing (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Oncology (371 citations), Sensory Systems (64 citations), Immunology (133 citations), Genetics (173 citations) and Cognitive Neuroscience (67 citations). David Bishop has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Kenneth Micklethwaite, David Gottlieb, Emily Blyth, Leighton Clancy, William C. Loftus, Manuel S. Malmierca, Douglas L. Oliver, Ming‐Celine Dubosq, Gaurav Sutrave and Fabio Luciani. Their work appears in journals such as Cytotherapy, Blood, The Journal of Immunology, Nature Communications and Experimental Biology and Medicine.
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.