Dan E. McNamara
Impact in
- Structural Biology top 10%
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
Papers in
-
- Cell death mechanisms and regulation 5
- Advanced biosensing and bioanalysis techniques 3
- RNA and protein synthesis mechanisms 2
- Ecology 4
- Bacteriophages and microbial interactions 4
- Co-authors
- Todd O. Yeates (5 shared papers)David Baker (2 shared papers)William Sheffler (2 shared papers)Tamir Gonen (1 shared paper)Neil P. King (1 shared paper)Shane Gonen (1 shared paper)Jacob B. Bale (1 shared paper)Tudor Moldoveanu (6 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Journal of Biological Chemistry (2 papers)Cell chemical biology (1 paper)Bulletin of the Seismological Society of America (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Dan E. McNamara
16 papers receiving 968 citations
Dan E. McNamara's Hit Papers
Peers
Comparison fields: 5 of 88
- Structural Biology 21
- Biomaterials 149
- Molecular Biology 710
- Ecology 239
- Immunology 105
Countries citing papers authored by Dan E. McNamara
This map shows the geographic impact of Dan E. McNamara'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 Dan E. McNamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan E. McNamara more than expected).
Fields of papers citing papers by Dan E. McNamara
This network shows the impact of papers produced by Dan E. McNamara. 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 Dan E. McNamara. The network helps show where Dan E. McNamara may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan E. McNamara, 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 | Accurate design of co-assembling multi-component protein nanomaterials Hit paper breakdown → | 2014 | 459 |
| 2 | 2018 | 133 | |
| 3 | 2016 | 97 | |
| 4 | 2014 | 53 | |
| 5 | 2018 | 48 | |
| 6 | 2019 | 40 | |
| 7 | 1998 | 33 | |
| 8 | 2022 | 27 | |
| 9 | 2015 | 22 | |
| 10 | 2021 | 16 | |
| 11 | 2011 | 14 | |
| 12 | 2012 | 13 | |
| 13 | 2014 | 11 | |
| 14 | 2018 | 8 | |
| 15 | 2016 | 4 | |
| 16 | 2018 | 3 |
About Dan E. McNamara
Dan E. McNamara is a scholar working on Molecular Biology, Ecology, Geophysics, Genetics and Immunology, having authored 16 papers that have together received 981 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Bacteriophages and microbial interactions (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), earthquake and tectonic studies (2 papers), interferon and immune responses (2 papers), RNA and protein synthesis mechanisms (2 papers), Seismic Waves and Analysis (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Structural Biology (21 citations), Biomaterials (149 citations), Molecular Biology (710 citations), Ecology (239 citations) and Immunology (105 citations). Dan E. McNamara has collaborated with scholars based in United States and Germany. Frequent co-authors include Todd O. Yeates, David Baker, William Sheffler, Tamir Gonen, Neil P. King, Shane Gonen, Jacob B. Bale, Tudor Moldoveanu, Christy R. Grace and Cristina D. Guibao. Their work appears in journals such as Journal of Visualized Experiments, Journal of Biological Chemistry, Cell chemical biology, Bulletin of the Seismological Society of America and Biochemical and Biophysical Research Communications.
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.