Daniel Russel
Impact in
- Structural Biology top 2%
Papers in
-
- Protein Structure and Dynamics 6
-
- Computational Geometry and Mesh Generation 6
- Computer Graphics and Visualization Techniques 3
- Co-authors
- Andrej Šali (11 shared papers)Keren Lasker (5 shared papers)Dina Schneidman‐Duhovny (5 shared papers)Javier A. Velázquez-Muriel (5 shared papers)I. C. Pyrah (1 shared paper)C. C. Hird (1 shared paper)Elina Tjioe (3 shared papers)Ben Webb (3 shared papers)
- Journals
- Computational Geometry (2 papers)Molecular & Cellular Proteomics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Current Opinion in Cell Biology (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Daniel Russel
20 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Structural Biology 74
- Computer Graphics and Computer-Aided Design 76
- Molecular Biology 850
- Civil and Structural Engineering 199
- Spectroscopy 138
Countries citing papers authored by Daniel Russel
This map shows the geographic impact of Daniel Russel'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 Russel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Russel more than expected).
Fields of papers citing papers by Daniel Russel
This network shows the impact of papers produced by Daniel Russel. 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 Russel. The network helps show where Daniel Russel may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Russel, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 390 | |
| 2 | 2016 | 330 | |
| 3 | 1992 | 199 | |
| 4 | 2010 | 56 | |
| 5 | 2002 | 55 | |
| 6 | 2009 | 53 | |
| 7 | 2012 | 36 | |
| 8 | 2017 | 36 | |
| 9 | 2014 | 35 | |
| 10 | 2018 | 30 | |
| 11 | 2004 | 30 | |
| 12 | 2014 | 26 | |
| 13 | 2004 | 21 | |
| 14 | Navigating the Belt and Road Initiative | 2019 | 21 |
| 15 | 2013 | 11 | |
| 16 | 2005 | 11 | |
| 17 | A Computational Framework for Handling Motion. | 2004 | 9 |
| 18 | Kinetic data structures in practice | 2007 | 8 |
| 19 | 2004 | 7 | |
| 20 | 2007 | 6 |
About Daniel Russel
Daniel Russel is a scholar working on Molecular Biology, Computer Graphics and Computer-Aided Design, Materials Chemistry, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Geometry and Mesh Generation (6 papers), Robotic Path Planning Algorithms (3 papers), Enzyme Structure and Function (3 papers), Computer Graphics and Visualization Techniques (3 papers), Data Management and Algorithms (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Structural Biology (74 citations), Computer Graphics and Computer-Aided Design (76 citations), Molecular Biology (850 citations), Civil and Structural Engineering (199 citations) and Spectroscopy (138 citations). Daniel Russel has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Andrej Šali, Keren Lasker, Dina Schneidman‐Duhovny, Javier A. Velázquez-Muriel, I. C. Pyrah, C. C. Hird, Elina Tjioe, Ben Webb, B. Peterson and Leonidas Guibas. Their work appears in journals such as Computational Geometry, Molecular & Cellular Proteomics, Proceedings of the National Academy of Sciences, Current Opinion in Cell Biology and Molecular Biology of the Cell.
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.