Michael J. DeVit
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Virology top 5%
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 10
- Radiopharmaceutical Chemistry and Applications 4
- Oncology 9
- HER2/EGFR in Cancer Research 9
- Cancer Treatment and Pharmacology 3
- Co-authors
- Stephen Albert Johnston (2 shared papers)De‐chu C. Tang (1 shared paper)Mark Johnston (2 shared papers)Susan Lindquist (1 shared paper)Paul J. Muchowski (1 shared paper)Tiago F. Outeiro (1 shared paper)Stephen B. Willingham (1 shared paper)S. A. Johnston (1 shared paper)
- Journals
- Cancer Research (8 papers)Tree Physiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cancer Therapeutics (1 paper)Current Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Michael J. DeVit
19 papers receiving 2.7k citations
Michael J. DeVit's Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 784
- Virology 142
- Molecular Biology 1.8k
- Biotechnology 153
- Cell Biology 274
Countries citing papers authored by Michael J. DeVit
This map shows the geographic impact of Michael J. DeVit'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 Michael J. DeVit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. DeVit more than expected).
Fields of papers citing papers by Michael J. DeVit
This network shows the impact of papers produced by Michael J. DeVit. 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 Michael J. DeVit. The network helps show where Michael J. DeVit may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. DeVit, 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 | Genetic immunization is a simple method for eliciting an immune response Hit paper breakdown → | 1992 | 1199 |
| 2 | Tafamidis, a potent and selective transthyretin kinetic stabilizer that inhibits the amyloid cascade Hit paper breakdown → | 2012 | 572 |
| 3 | 2003 | 328 | |
| 4 | 1991 | 323 | |
| 5 | 1999 | 167 | |
| 6 | 1998 | 151 | |
| 7 | 1991 | 16 | |
| 8 | 2016 | 13 | |
| 9 | 2015 | 12 | |
| 10 | 2017 | 11 | |
| 11 | 1991 | 11 | |
| 12 | 2005 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2003 | 5 | |
| 15 | 2016 | 5 | |
| 16 | 2016 | 2 | |
| 17 | 2013 | 2 | |
| 18 | 2014 | 1 | |
| 19 | 2013 | 1 |
About Michael J. DeVit
Michael J. DeVit is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology, Agronomy and Crop Science and Plant Science, having authored 19 papers that have together received 2.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), HER2/EGFR in Cancer Research (9 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Cancer Treatment and Pharmacology (3 papers), Fungal and yeast genetics research (3 papers), Bioenergy crop production and management (2 papers), Alzheimer's disease research and treatments (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Immunology (784 citations), Virology (142 citations), Molecular Biology (1.8k citations), Biotechnology (153 citations) and Cell Biology (274 citations). Michael J. DeVit has collaborated with scholars based in United States. Frequent co-authors include Stephen Albert Johnston, De‐chu C. Tang, Mark Johnston, Susan Lindquist, Paul J. Muchowski, Tiago F. Outeiro, Stephen B. Willingham, S. A. Johnston, John C. Sanford and R. Sanders Williams. Their work appears in journals such as Cancer Research, Tree Physiology, Proceedings of the National Academy of Sciences, Molecular Cancer Therapeutics and Current Biology.
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.