D.E. Dollins
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 10%
- Heat shock proteins research
- Protein Structure and Dynamics
- Protein Kinase Regulation and GTPase Signaling
Papers in
-
- Heat shock proteins research 4
- Protein Structure and Dynamics 3
- Protein Kinase Regulation and GTPase Signaling 3
- ATP Synthase and ATPases Research 2
-
- Endoplasmic Reticulum Stress and Disease 5
- Cellular transport and secretion 4
- Co-authors
- D.T. Gewirth (5 shared papers)Robert M. Immormino (4 shared papers)John D. York (5 shared papers)Peter C. Fridy (4 shared papers)P.L. Shaffer (2 shared papers)Frank Claessens (1 shared paper)Arif Jivan (1 shared paper)James Otto (3 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cell (1 paper)Science (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
D.E. Dollins
11 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 82
- Cell Biology 343
- Molecular Biology 894
- Endocrinology, Diabetes and Metabolism 104
- Computational Theory and Mathematics 91
- Genetics 146
Countries citing papers authored by D.E. Dollins
This map shows the geographic impact of D.E. Dollins'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 D.E. Dollins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.E. Dollins more than expected).
Fields of papers citing papers by D.E. Dollins
This network shows the impact of papers produced by D.E. Dollins. 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 D.E. Dollins. The network helps show where D.E. Dollins may publish in the future.
Co-authors
The 25 scholars most cited alongside D.E. Dollins, 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 | 2004 | 293 | |
| 2 | 2007 | 229 | |
| 3 | 2007 | 215 | |
| 4 | 2007 | 108 | |
| 5 | 2009 | 99 | |
| 6 | 2004 | 86 | |
| 7 | 2005 | 65 | |
| 8 | 2009 | 55 | |
| 9 | 2020 | 51 | |
| 10 | 2017 | 23 | |
| 11 | 2020 | 11 |
About D.E. Dollins
D.E. Dollins is a scholar working on Molecular Biology, Cell Biology, Plant Science, Nutrition and Dietetics and Genetics, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (5 papers), Heat shock proteins research (4 papers), Cellular transport and secretion (4 papers), Phytase and its Applications (4 papers), Protein Structure and Dynamics (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), ATP Synthase and ATPases Research (2 papers) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cell Biology (343 citations), Molecular Biology (894 citations), Endocrinology, Diabetes and Metabolism (104 citations), Computational Theory and Mathematics (91 citations) and Genetics (146 citations). D.E. Dollins has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include D.T. Gewirth, Robert M. Immormino, John D. York, Peter C. Fridy, P.L. Shaffer, Frank Claessens, Arif Jivan, James Otto, J.J. Warren and Timothy Haystead. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular Cell, Science and Journal of Molecular 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.