David W. Meyer
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 12
- HER2/EGFR in Cancer Research 9
- Cancer Treatment and Pharmacology 2
- CAR-T cell therapy research 2
-
- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Peter D. Senter (9 shared papers)Martha E. Anderson (8 shared papers)Jamie B. Miyamoto (4 shared papers)Jonathan M. Scholey (2 shared papers)Douglas G. Cole (2 shared papers)Scott C. Jeffrey (7 shared papers)Karen P. Wedaman (1 shared paper)Patrick Burke (5 shared papers)
- Journals
- Cancer Research (5 papers)Bioconjugate Chemistry (2 papers)Molecular Cancer Therapeutics (1 paper)Protein Engineering Design and Selection (1 paper)Molecular Pharmaceutics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
David W. Meyer
16 papers receiving 738 citations
Peers
Comparison fields: 5 of 60
- Oncology 437
- Radiology, Nuclear Medicine and Imaging 332
- Hematology 106
- Cell Biology 119
- Molecular Biology 363
Countries citing papers authored by David W. Meyer
This map shows the geographic impact of David W. Meyer'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 W. Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Meyer more than expected).
Fields of papers citing papers by David W. Meyer
This network shows the impact of papers produced by David W. Meyer. 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 W. Meyer. The network helps show where David W. Meyer may publish in the future.
Co-authors
The 25 scholars most cited alongside David W. Meyer, 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 | 2013 | 291 | |
| 2 | 2008 | 133 | |
| 3 | 1996 | 124 | |
| 4 | 2009 | 76 | |
| 5 | 2018 | 47 | |
| 6 | 2018 | 32 | |
| 7 | 2020 | 23 | |
| 8 | 2009 | 20 | |
| 9 | 2014 | 12 | |
| 10 | 2015 | 6 | |
| 11 | 1998 | 5 | |
| 12 | 2012 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2012 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2020 | 1 |
About David W. Meyer
David W. Meyer is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Organic Chemistry and Cell Biology, having authored 16 papers that have together received 776 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Microtubule and mitosis dynamics (2 papers), Cancer Treatment and Pharmacology (2 papers), Protist diversity and phylogeny (2 papers), Cell Adhesion Molecules Research (2 papers), Cancer therapeutics and mechanisms (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Oncology (437 citations), Radiology, Nuclear Medicine and Imaging (332 citations), Hematology (106 citations), Cell Biology (119 citations) and Molecular Biology (363 citations). David W. Meyer has collaborated with scholars based in United States and Germany. Frequent co-authors include Peter D. Senter, Martha E. Anderson, Jamie B. Miyamoto, Jonathan M. Scholey, Douglas G. Cole, Scott C. Jeffrey, Karen P. Wedaman, Patrick Burke, Dana J. Rashid and Robert P. Lyon. Their work appears in journals such as Cancer Research, Bioconjugate Chemistry, Molecular Cancer Therapeutics, Protein Engineering Design and Selection and Molecular Pharmaceutics.
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.