Daniel P. Farrell
Impact in
- Structural Biology top 10%
-
- Genomics and Chromatin Dynamics
- Chromatin Remodeling and Cancer
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
Papers in
-
- RNA and protein synthesis mechanisms 3
- Genomics and Chromatin Dynamics 3
- Protein Structure and Dynamics 2
- Photosynthetic Processes and Mechanisms 2
- Lipid Membrane Structure and Behavior 2
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- Advanced Electron Microscopy Techniques and Applications 3
- Co-authors
- Frank DiMaio (14 shared papers)Jan Pieter Abrahams (2 shared papers)Justin M. Kollman (3 shared papers)Jinghui Luo (2 shared papers)Jinming Wu (2 shared papers)Thorsten B. Blum (2 shared papers)Thomas Walz (2 shared papers)Katayoun Varzavand (1 shared paper)
- Journals
- Nature Communications (2 papers)Science (2 papers)Structure (2 papers)Organic & Biomolecular Chemistry (1 paper)Marine Biology (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Daniel P. Farrell
18 papers receiving 602 citations
Daniel P. Farrell's Hit Papers
Peers
Comparison fields: 5 of 82
- Structural Biology 19
- Molecular Biology 440
- Cell Biology 87
- Molecular Medicine 15
- Genetics 81
Countries citing papers authored by Daniel P. Farrell
This map shows the geographic impact of Daniel P. Farrell'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 P. Farrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Farrell more than expected).
Fields of papers citing papers by Daniel P. Farrell
This network shows the impact of papers produced by Daniel P. Farrell. 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 P. Farrell. The network helps show where Daniel P. Farrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Farrell, 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 | 2020 | 117 | |
| 2 | 2022 | 62 | |
| 3 | 2021 | 61 | |
| 4 | 2017 | 59 | |
| 5 | 2021 | 57 | |
| 6 | 2020 | 41 | |
| 7 | 2019 | 40 | |
| 8 | De novo design of pH-responsive self-assembling helical protein filaments Hit paper breakdown → | 2024 | 39 |
| 9 | 2021 | 32 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 23 | |
| 12 | 2013 | 16 | |
| 13 | 2020 | 11 | |
| 14 | 2012 | 11 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2022 | 1 | |
| 18 | 2020 | 1 |
About Daniel P. Farrell
Daniel P. Farrell is a scholar working on Molecular Biology, Structural Biology, Physiology, Genetics and Materials Chemistry, having authored 18 papers that have together received 608 indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Genomics and Chromatin Dynamics (3 papers), Alzheimer's disease research and treatments (2 papers), Protein Structure and Dynamics (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Structural Biology (19 citations), Molecular Biology (440 citations), Cell Biology (87 citations), Molecular Medicine (15 citations) and Genetics (81 citations). Daniel P. Farrell has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Frank DiMaio, Jan Pieter Abrahams, Justin M. Kollman, Jinghui Luo, Jinming Wu, Thorsten B. Blum, Thomas Walz, Katayoun Varzavand, Yuan He and Robert G. Roeder. Their work appears in journals such as Nature Communications, Science, Structure, Organic & Biomolecular Chemistry and Marine 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.