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
-
- Advanced Fluorescence Microscopy Techniques 3
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- Benjamin S. Glick (7 shared papers)Catherine Reinke (2 shared papers)Brooke J. Bevis (2 shared papers)Rita L. Strack (4 shared papers)Robert J. Keenan (4 shared papers)Jon Soderholm (2 shared papers)Pamela L. Connerly (2 shared papers)Dibyendu Bhattacharyya (3 shared papers)
- Journals
- Nature Communications (3 papers)Journal of the American Chemical Society (1 paper)Protein Engineering Design and Selection (1 paper)Nucleus (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesSouth AfricaGermany
In The Last Decade
Daniel E. Strongin
15 papers receiving 888 citations
Peers
Comparison fields: 5 of 82
- Cell Biology 430
- Biophysics 141
- Molecular Biology 649
- Physiology 38
- Cellular and Molecular Neuroscience 99
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 | 306 | |
| 2 | 2008 | 158 | |
| 3 | 2005 | 142 | |
| 4 | 2020 | 62 | |
| 5 | 2010 | 61 | |
| 6 | 2007 | 49 | |
| 7 | 2004 | 48 | |
| 8 | 2015 | 35 | |
| 9 | 2024 | 19 | |
| 10 | 2014 | 13 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 5 | |
| 13 | 2009 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 1997 | 1 |
About Daniel E. Strongin
Daniel E. Strongin is a scholar working on Biophysics, Genetics, Cell Biology, Biotechnology and Molecular Biology, having authored 15 papers that have together received 907 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Herpesvirus Infections and Treatments (3 papers), Cellular transport and secretion (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cancer Research and Treatments (2 papers), Fungal and yeast genetics research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cell Biology (430 citations), Biophysics (141 citations), Molecular Biology (649 citations), Physiology (38 citations) and Cellular and Molecular Neuroscience (99 citations). Daniel E. Strongin has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include Benjamin S. Glick, Catherine Reinke, Brooke J. Bevis, Rita L. Strack, Robert J. Keenan, Jon Soderholm, Pamela L. Connerly, Dibyendu Bhattacharyya, Allison Berman and Masatoshi Esaki. Their work appears in journals such as Nature Communications, Journal of the American Chemical Society, Protein Engineering Design and Selection, Nucleus 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.