Daniel F. Tardiff
- Molecular Biology top 10%
- Neurology top 5%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Co-authors
- Michael RosbashSusan LindquistKim A. CaldwellGuy A. CaldwellScott A. LacadieChee Yeun ChungVikram KhuranaShusei Hamamichi
- Topics
- Parkinson's Disease Mechanisms and Treatments (9 papers)RNA and protein synthesis mechanisms (6 papers)RNA Research and Splicing (6 papers)
- Cited by
- AgingNeurologyMolecular Biology
- Partner nations
- United StatesPortugalItaly
In The Last Decade
Daniel F. Tardiff
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 741
- Neurology 284
- Physiology 244
- Cellular and Molecular Neuroscience 187
- Cell Biology 132
Countries citing papers authored by Daniel F. Tardiff
This map shows the geographic impact of Daniel F. Tardiff'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 F. Tardiff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Tardiff more than expected).
Fields of papers citing papers by Daniel F. Tardiff
This network shows the impact of papers produced by Daniel F. Tardiff. 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 F. Tardiff. The network helps show where Daniel F. Tardiff may publish in the future.
Co-authorship network of co-authors of Daniel F. Tardiff
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Tardiff. A scholar is included among the top collaborators of Daniel F. Tardiff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel F. Tardiff. Daniel F. Tardiff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 11 | |
| 3 | 18 | |
| 4 | 102 | |
| 5 | 16 | |
| 6 | 49 | |
| 7 | 25 | |
| 8 | 142 | |
| 9 | 200 | |
| 10 | Yeast Reveal a ‘Druggable’ Rsp5/Nedd4 Network That Ameliorates α-Synuclein Toxicity in Neurons | 2 |
| 11 | 21 | |
| 12 | 61 | |
| 13 | 143 | |
| 14 | 50 | |
| 15 | 49 | |
| 16 | 70 | |
| 17 | 49 | |
| 18 | 85 | |
| 19 | 9 | |
| 20 | 17 |
About Daniel F. Tardiff
Daniel F. Tardiff is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), RNA and protein synthesis mechanisms (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Aging (75 citations), Neurology (284 citations) and Molecular Biology (741 citations). Daniel F. Tardiff has collaborated with scholars based in United States, Portugal and Italy. Frequent co-authors include Michael Rosbash, Susan Lindquist, Kim A. Caldwell, Guy A. Caldwell, Scott A. Lacadie, Chee Yeun Chung, Vikram Khurana, Shusei Hamamichi, Jean‐Christophe Rochet and Kent Matlack. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.