David Passmore
Impact in
- Biotechnology top 2%
- Transgenic Plants and Applications
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Monoclonal and Polyclonal Antibodies Research 15
- Radiopharmaceutical Chemistry and Applications 3
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- Glycosylation and Glycoproteins Research 6
- Co-authors
- Pina M. Cardarelli (10 shared papers)Bishwajit Nag (8 shared papers)M. S. Srinivasan (5 shared papers)Amelia Black (3 shared papers)John R. Gasdaska (1 shared paper)Jason D. Sterling (1 shared paper)Lynn F. Dickey (1 shared paper)Vangipuram S. Rangan (8 shared papers)
- Journals
- Cancer Research (5 papers)The Journal of Immunology (2 papers)Journal of Immunological Methods (2 papers)Journal of the American Society for Mass Spectrometry (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
David Passmore
24 papers receiving 676 citations
Peers
Comparison fields: 5 of 64
- Biotechnology 208
- Radiology, Nuclear Medicine and Imaging 322
- Immunology 293
- Molecular Biology 424
- Oncology 156
Countries citing papers authored by David Passmore
This map shows the geographic impact of David Passmore'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 Passmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Passmore more than expected).
Fields of papers citing papers by David Passmore
This network shows the impact of papers produced by David Passmore. 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 Passmore. The network helps show where David Passmore may publish in the future.
Co-authors
The 25 scholars most cited alongside David Passmore, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 298 | |
| 2 | 2015 | 49 | |
| 3 | 2009 | 39 | |
| 4 | 1995 | 35 | |
| 5 | 2019 | 30 | |
| 6 | 1993 | 29 | |
| 7 | 1993 | 27 | |
| 8 | 2020 | 26 | |
| 9 | 2018 | 25 | |
| 10 | 2015 | 25 | |
| 11 | 1992 | 22 | |
| 12 | 2004 | 21 | |
| 13 | 2015 | 21 | |
| 14 | 2009 | 21 | |
| 15 | 1992 | 19 | |
| 16 | 1992 | 10 | |
| 17 | 1995 | 8 | |
| 18 | 1994 | 6 | |
| 19 | 2010 | 5 | |
| 20 | 2010 | 2 |
About David Passmore
David Passmore is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Oncology and Organic Chemistry, having authored 24 papers that have together received 724 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), HER2/EGFR in Cancer Research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers), Computational Drug Discovery Methods (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Biotechnology (208 citations), Radiology, Nuclear Medicine and Imaging (322 citations), Immunology (293 citations), Molecular Biology (424 citations) and Oncology (156 citations). David Passmore has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Pina M. Cardarelli, Bishwajit Nag, M. S. Srinivasan, Amelia Black, John R. Gasdaska, Jason D. Sterling, Lynn F. Dickey, Vangipuram S. Rangan, Brian R. Clark and Suresh D. Sharma. Their work appears in journals such as Cancer Research, The Journal of Immunology, Journal of Immunological Methods, Journal of the American Society for Mass Spectrometry and Clinical Cancer Research.
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.