Daniel T. Gewirth
Impact in
- Virology top 5%
- Molecular Biology top 5%
- Heat shock proteins research
- Protein Structure and Dynamics
- ATP Synthase and ATPases Research
Papers in
-
- Heat shock proteins research 26
- Protein Structure and Dynamics 16
- RNA and protein synthesis mechanisms 9
- Cell Biology 13
- Endoplasmic Reticulum Stress and Disease 12
- Co-authors
- D. Eric Dollins (5 shared papers)Robert M. Immormino (9 shared papers)Paul L. Shaffer (5 shared papers)Frank Claessens (2 shared papers)Arif Jivan (2 shared papers)Gabriela Chiosis (12 shared papers)Joshua J. Warren (1 shared paper)Zihai Li (10 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Journal of Medicinal Chemistry (5 papers)Biochemistry (4 papers)Proceedings of the National Academy of Sciences (3 papers)Proteins Structure Function and Bioinformatics (3 papers)
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
Daniel T. Gewirth
46 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 101
- Virology 188
- Molecular Biology 2.3k
- Cell Biology 528
- Immunology 522
- Computational Theory and Mathematics 325
Countries citing papers authored by Daniel T. Gewirth
This map shows the geographic impact of Daniel T. Gewirth'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 T. Gewirth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Gewirth more than expected).
Fields of papers citing papers by Daniel T. Gewirth
This network shows the impact of papers produced by Daniel T. Gewirth. 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 T. Gewirth. The network helps show where Daniel T. Gewirth may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel T. Gewirth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 323 | |
| 2 | 2007 | 238 | |
| 3 | 2007 | 220 | |
| 4 | 1985 | 198 | |
| 5 | 2013 | 187 | |
| 6 | 2005 | 154 | |
| 7 | 2003 | 124 | |
| 8 | 2020 | 108 | |
| 9 | 2006 | 105 | |
| 10 | 1995 | 92 | |
| 11 | 2004 | 90 | |
| 12 | 2004 | 84 | |
| 13 | 2012 | 82 | |
| 14 | 2016 | 82 | |
| 15 | 2005 | 71 | |
| 16 | 2013 | 71 | |
| 17 | 2016 | 69 | |
| 18 | 2009 | 61 | |
| 19 | 2006 | 60 | |
| 20 | 2015 | 58 |
About Daniel T. Gewirth
Daniel T. Gewirth is a scholar working on Molecular Biology, Cell Biology, Computational Theory and Mathematics, Immunology and Genetics, having authored 48 papers that have together received 3.0k indexed citations. Recurring topics across this work include Heat shock proteins research (26 papers), Protein Structure and Dynamics (16 papers), Endoplasmic Reticulum Stress and Disease (12 papers), RNA and protein synthesis mechanisms (9 papers), Computational Drug Discovery Methods (8 papers), Enzyme Structure and Function (7 papers), Estrogen and related hormone effects (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). The work is most often cited by research in Virology (188 citations), Molecular Biology (2.3k citations), Cell Biology (528 citations), Immunology (522 citations) and Computational Theory and Mathematics (325 citations). Daniel T. Gewirth has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include D. Eric Dollins, Robert M. Immormino, Paul L. Shaffer, Frank Claessens, Arif Jivan, Gabriela Chiosis, Joshua J. Warren, Zihai Li, Jeffrey T. Bolin and S. Brunie. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, Biochemistry, Proceedings of the National Academy of Sciences and Proteins Structure Function and Bioinformatics.
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.