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 2
- Genomics and Chromatin Dynamics 2
- 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)Jon Soderholm (2 shared papers)Pamela L. Connerly (2 shared papers)Dibyendu Bhattacharyya (3 shared papers)
- Journals
- Nature Communications (3 papers)Biological Bulletin (1 paper)Protein Engineering Design and Selection (1 paper)Current Biology (1 paper)Nature (1 paper)
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Daniel E. Strongin
14 papers receiving 877 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 431
- Biophysics 139
- Molecular Biology 645
- Physiology 37
- Cellular and Molecular Neuroscience 101
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 | 302 | |
| 2 | 2008 | 157 | |
| 3 | 2005 | 145 | |
| 4 | 2010 | 60 | |
| 5 | 2020 | 57 | |
| 6 | 2004 | 48 | |
| 7 | 2007 | 48 | |
| 8 | 2015 | 33 | |
| 9 | 2024 | 15 | |
| 10 | 2014 | 15 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 3 | |
| 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 891 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Herpesvirus Infections and Treatments (3 papers), Fungal and yeast genetics research (2 papers), Cancer Research and Treatments (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cell Biology (431 citations), Biophysics (139 citations), Molecular Biology (645 citations), Physiology (37 citations) and Cellular and Molecular Neuroscience (101 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, Jon Soderholm, Pamela L. Connerly, Dibyendu Bhattacharyya, Masatoshi Esaki and Stephanie Levi. Their work appears in journals such as Nature Communications, Biological Bulletin, Protein Engineering Design and Selection, Current Biology and Nature.
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.