Mary A. Napier
- Molecular Biology top 5%
- Oncology top 5%
- Biomaterials top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering top 10%
- Co-authors
- I. GoldbergMichael T. LipariJoseph M. DeSimoneKevin P. HerlihyJames E. BearB M FendlyJ W McLeanTerry Lipari
- Topics
- Receptor Mechanisms and Signaling (9 papers)Heart Failure Treatment and Management (5 papers)Chemical Synthesis and Analysis (5 papers)
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
Mary A. Napier
44 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.8k
- Oncology 658
- Biomaterials 575
- Radiology, Nuclear Medicine and Imaging 541
- Biomedical Engineering 471
Countries citing papers authored by Mary A. Napier
This map shows the geographic impact of Mary A. Napier'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 Mary A. Napier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary A. Napier more than expected).
Fields of papers citing papers by Mary A. Napier
This network shows the impact of papers produced by Mary A. Napier. 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 Mary A. Napier. The network helps show where Mary A. Napier may publish in the future.
Co-authorship network of co-authors of Mary A. Napier
This figure shows the co-authorship network connecting the top 25 collaborators of Mary A. Napier. A scholar is included among the top collaborators of Mary A. Napier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mary A. Napier. Mary A. Napier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | Comparison of Xilinx Virtex-II FPGA SEE Sensitivities to Protons and Heavy Ions | 3 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | Characterization of an anti-p185HER2 monoclonal antibody that stimulates receptor function and inhibits tumor cell growth. | 142 |
| 8 | 153 | |
| 9 | Characterization of murine monoclonal antibodies reactive to either the human epidermal growth factor receptor or HER2/neu gene product. | 348 |
| 10 | 73 | |
| 11 | 364 | |
| 12 | 126 | |
| 13 | 13 | |
| 14 | 227 | |
| 15 | 28 | |
| 16 | 34 | |
| 17 | 1 | |
| 18 | 42 | |
| 19 | 142 | |
| 20 | 33 |
About Mary A. Napier
Mary A. Napier is a scholar working on Immunology and Allergy, Hematology and Biophysics, having authored 44 papers that have together received 3.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Heart Failure Treatment and Management (5 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Immunology and Allergy (437 citations), Biomaterials (575 citations) and Molecular Biology (1.8k citations). Mary A. Napier has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include I. Goldberg, Michael T. Lipari, Joseph M. DeSimone, Kevin P. Herlihy, James E. Bear, B M Fendly, J W McLean, Terry Lipari, Richard Vandlen and Marcy Winget. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.