David Shaw
Impact in
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- Viral Infectious Diseases and Gene Expression in Insects
- CRISPR and Genetic Engineering
- Protein purification and stability
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- Virus-based gene therapy research
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 10
- CRISPR and Genetic Engineering 7
- Protein purification and stability 5
- Advanced biosensing and bioanalysis techniques 3
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Brad Snedecor (10 shared papers)Michael W. Laird (6 shared papers)Shahram Misaghi (8 shared papers)Amy Shen (3 shared papers)Zhilan Hu (3 shared papers)Dejin Zhan (2 shared papers)Benjamin Haley (3 shared papers)Salina Louie (6 shared papers)
- Journals
- Biotechnology Progress (9 papers)Current Cancer Drug Targets (2 papers)Analytical Chemistry (2 papers)PDA Journal of Pharmaceutical Science and Technology (1 paper)Biotechnology and Bioengineering (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
David Shaw
20 papers receiving 351 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 301
- Genetics 90
- Radiology, Nuclear Medicine and Imaging 71
- Oncology 72
- Biotechnology 19
Countries citing papers authored by David Shaw
This map shows the geographic impact of David Shaw'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 Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Shaw more than expected).
Fields of papers citing papers by David Shaw
This network shows the impact of papers produced by David Shaw. 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 Shaw. The network helps show where David Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside David Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 53 | |
| 2 | 2022 | 50 | |
| 3 | 2017 | 42 | |
| 4 | 2021 | 40 | |
| 5 | 2016 | 40 | |
| 6 | 2015 | 28 | |
| 7 | 2018 | 27 | |
| 8 | 2017 | 17 | |
| 9 | 2017 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 2004 | 11 | |
| 13 | 2017 | 11 | |
| 14 | 2005 | 10 | |
| 15 | 2019 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2017 | 2 | |
| 18 | 2019 | 2 | |
| 19 | The API 1149 Update, Model-Based Leak Detection Uncertainty Assessment | 2015 | 2 |
| 20 | 2024 | 1 |
About David Shaw
David Shaw is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Oncology and Genetics, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (10 papers), CRISPR and Genetic Engineering (7 papers), Protein purification and stability (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), CAR-T cell therapy research (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Structural Integrity and Reliability Analysis (2 papers). The work is most often cited by research in Molecular Biology (301 citations), Genetics (90 citations), Radiology, Nuclear Medicine and Imaging (71 citations), Oncology (72 citations) and Biotechnology (19 citations). David Shaw has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Brad Snedecor, Michael W. Laird, Shahram Misaghi, Amy Shen, Zhilan Hu, Dejin Zhan, Benjamin Haley, Salina Louie, Danming Tang and Steven Lang. Their work appears in journals such as Biotechnology Progress, Current Cancer Drug Targets, Analytical Chemistry, PDA Journal of Pharmaceutical Science and Technology and Biotechnology and Bioengineering.
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.