Daniel E. Strongin
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Fungal and yeast genetics research 3
- Genetics 5
- Virus-based gene therapy research 5
- Co-authors
- Benjamin S. Glick (7 shared papers)Catherine Reinke (2 shared papers)Brooke J. Bevis (2 shared papers)Rita Strack (4 shared papers)Robert J. Keenan (4 shared papers)Pamela L. Connerly (2 shared papers)Dibyendu Bhattacharyya (3 shared papers)Jon Soderholm (2 shared papers)
- Journals
- Nature Communications (3 papers)Nature Methods (1 paper)Protein Engineering Design and Selection (1 paper)Journal of the American Chemical Society (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Daniel E. Strongin
14 papers receiving 837 citations
Peers
Comparison fields: 5 of 80
- Cell Biology 415
- Biophysics 135
- Molecular Biology 631
- Physiology 36
- Structural Biology 8
Countries citing papers authored by Daniel E. Strongin
This map shows the geographic impact of Daniel E. Strongin'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 Daniel E. Strongin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Strongin more than expected).
Fields of papers citing papers by Daniel E. Strongin
This network shows the impact of papers produced by Daniel E. Strongin. 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 Daniel E. Strongin. The network helps show where Daniel E. Strongin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Strongin, 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 | 2006 | 287 | |
| 2 | 2008 | 154 | |
| 3 | 2005 | 140 | |
| 4 | 2010 | 55 | |
| 5 | 2020 | 52 | |
| 6 | 2007 | 47 | |
| 7 | 2004 | 43 | |
| 8 | 2015 | 32 | |
| 9 | 2014 | 15 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2009 | 2 | |
| 14 | 1997 | 1 |
About Daniel E. Strongin
Daniel E. Strongin is a scholar working on Molecular Biology, Genetics, Cell Biology, Biophysics and Epidemiology, having authored 14 papers that have together received 846 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Fungal and yeast genetics research (3 papers), Herpesvirus Infections and Treatments (3 papers), Cellular transport and secretion (3 papers), Cell Image Analysis Techniques (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cell Biology (415 citations), Biophysics (135 citations), Molecular Biology (631 citations), Physiology (36 citations) and Structural Biology (8 citations). Daniel E. Strongin has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Benjamin S. Glick, Catherine Reinke, Brooke J. Bevis, Rita Strack, Robert J. Keenan, Pamela L. Connerly, Dibyendu Bhattacharyya, Jon Soderholm, Masatoshi Esaki and Tao Wen. Their work appears in journals such as Nature Communications, Nature Methods, Protein Engineering Design and Selection, Journal of the American Chemical Society 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.