Daniela Russo
Impact in
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- Spectroscopy and Quantum Chemical Studies
- Quantum, superfluid, helium dynamics
- Spectroscopy top 5%
Papers in
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- Protein Structure and Dynamics 21
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- Enzyme Structure and Function 14
- Material Dynamics and Properties 11
- Co-authors
- Teresa Head‐Gordon (5 shared papers)Greg L. Hura (5 shared papers)J. Teixeira (13 shared papers)J. R. D. Copley (5 shared papers)Jacques Ollivier (8 shared papers)Rajesh K. Murarka (2 shared papers)D. Durand (5 shared papers)Michel Desmadril (5 shared papers)
In The Last Decade
Daniela Russo
49 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Atomic and Molecular Physics, and Optics 665
- Spectroscopy 213
- Materials Chemistry 557
- Molecular Biology 794
- Physical and Theoretical Chemistry 94
Countries citing papers authored by Daniela Russo
This map shows the geographic impact of Daniela Russo'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 Daniela Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Russo more than expected).
Fields of papers citing papers by Daniela Russo
This network shows the impact of papers produced by Daniela Russo. 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 Daniela Russo. The network helps show where Daniela Russo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Russo, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Water structure as a function of temperature from X-ray scattering experiments and ab \ninitio molecular dynamics | 2003 | 180 |
| 2 | 2004 | 159 | |
| 3 | 2005 | 118 | |
| 4 | 2001 | 94 | |
| 5 | 2009 | 81 | |
| 6 | 2008 | 61 | |
| 7 | 2014 | 56 | |
| 8 | 2011 | 54 | |
| 9 | 2004 | 51 | |
| 10 | 2007 | 49 | |
| 11 | 2008 | 46 | |
| 12 | 2002 | 40 | |
| 13 | 2022 | 34 | |
| 14 | 2016 | 34 | |
| 15 | 2009 | 31 | |
| 16 | 2017 | 31 | |
| 17 | 2013 | 29 | |
| 18 | 2003 | 29 | |
| 19 | 2015 | 28 | |
| 20 | 2010 | 28 |
About Daniela Russo
Daniela Russo is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Spectroscopy and Cellular and Molecular Neuroscience, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (21 papers), Spectroscopy and Quantum Chemical Studies (19 papers), Enzyme Structure and Function (14 papers), Material Dynamics and Properties (11 papers), Hemoglobin structure and function (5 papers), Quantum, superfluid, helium dynamics (5 papers), Photoreceptor and optogenetics research (5 papers) and Proteins in Food Systems (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (665 citations), Spectroscopy (213 citations), Materials Chemistry (557 citations), Molecular Biology (794 citations) and Physical and Theoretical Chemistry (94 citations). Daniela Russo has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Teresa Head‐Gordon, Greg L. Hura, J. Teixeira, J. R. D. Copley, Jacques Ollivier, Rajesh K. Murarka, D. Durand, Michel Desmadril, Matthias Krack and Michele Parrinello. Their work appears in journals such as Physica B Condensed Matter, The Journal of Physical Chemistry B, Macromolecular Bioscience, Physical Chemistry Chemical Physics and Biomacromolecules.
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.