Daniel R. Dries
Impact in
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 7
- RNA Research and Splicing 2
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- Innovative Teaching Methods 3
- Co-authors
- Gang Yu (8 shared papers)Alexandra C. Newton (2 shared papers)Colleen M. Dewey (4 shared papers)Lisa L. Gallegos (1 shared paper)Paul R. Mayer (2 shared papers)Basar Cenik (3 shared papers)Chantelle F. Sephton (3 shared papers)Joachim Herz (2 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)The FASEB Journal (5 papers)CBE—Life Sciences Education (1 paper)Biotechnology Letters (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United StatesBelgiumColombia
In The Last Decade
Daniel R. Dries
19 papers receiving 861 citations
Peers
Comparison fields: 5 of 101
- Neurology 292
- Genetics 162
- Cell Biology 138
- Physiology 199
- Molecular Biology 522
Countries citing papers authored by Daniel R. Dries
This map shows the geographic impact of Daniel R. Dries'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 R. Dries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Dries more than expected).
Fields of papers citing papers by Daniel R. Dries
This network shows the impact of papers produced by Daniel R. Dries. 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 R. Dries. The network helps show where Daniel R. Dries may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel R. Dries, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 278 | |
| 2 | 2006 | 134 | |
| 3 | 2011 | 111 | |
| 4 | 2008 | 95 | |
| 5 | 2010 | 55 | |
| 6 | 2009 | 53 | |
| 7 | 2016 | 32 | |
| 8 | 2008 | 30 | |
| 9 | 2016 | 28 | |
| 10 | 2016 | 14 | |
| 11 | 2011 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 1989 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2015 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2004 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2023 | 0 |
About Daniel R. Dries
Daniel R. Dries is a scholar working on Molecular Biology, Education, Biomedical Engineering, Physical and Theoretical Chemistry and Cell Biology, having authored 23 papers that have together received 870 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (7 papers), Biomedical and Engineering Education (4 papers), Alzheimer's disease research and treatments (3 papers), Innovative Teaching Methods (3 papers), Cellular transport and secretion (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), RNA Research and Splicing (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Neurology (292 citations), Genetics (162 citations), Cell Biology (138 citations), Physiology (199 citations) and Molecular Biology (522 citations). Daniel R. Dries has collaborated with scholars based in United States, Belgium and Colombia. Frequent co-authors include Gang Yu, Alexandra C. Newton, Colleen M. Dewey, Lisa L. Gallegos, Paul R. Mayer, Basar Cenik, Chantelle F. Sephton, Joachim Herz, Brett A. Johnson and Sanjiv Shah. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, CBE—Life Sciences Education, Biotechnology Letters and Journal of the American College of Cardiology.
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.