Leonor Saiz
- Filtration and Separation top 5%
-
- Spectroscopy and Quantum Chemical Studies 9
- Molecular Biology top 10%
- DNA and Nucleic Acid Chemistry 13
- Lipid Membrane Structure and Behavior 12
- Protein Structure and Dynamics 11
- Gene Regulatory Network Analysis 11
- RNA and protein synthesis mechanisms 9
- Genomics and Chromatin Dynamics 6
- Catalysis top 10%
-
- Bacterial Genetics and Biotechnology 8
- Co-authors
- E. GuàrdiaJosé M. G. VilarMichael L. KleinJ. A. PadróSanjoy BandyopadhyayAndrei V. KomolkinJordi Martı́Mónica Pickholz
- Cited by
- Fluid Flow and Transfer ProcessesFiltration and SeparationAtomic and Molecular Physics, and Optics
- Journals
- Biophysical Journal (9 papers)Scientific Reports (3 papers)The Journal of Physical Chemistry B (3 papers)
- Partner nations
- United StatesSpainIndia
In The Last Decade
Leonor Saiz
49 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 125
- Fluid Flow and Transfer Processes 332
- Filtration and Separation 53
- Atomic and Molecular Physics, and Optics 601
- Molecular Biology 1.2k
- Catalysis 106
Countries citing papers authored by Leonor Saiz
This map shows the geographic impact of Leonor Saiz'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 Leonor Saiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonor Saiz more than expected).
Fields of papers citing papers by Leonor Saiz
This network shows the impact of papers produced by Leonor Saiz. 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 Leonor Saiz. The network helps show where Leonor Saiz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leonor Saiz, 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 | 2025 | 0 | |
| 2 | 2021 | 28 | |
| 3 | 2018 | 7 | |
| 4 | 2017 | 5 | |
| 5 | 2017 | 145 | |
| 6 | 2014 | 3 | |
| 7 | 2013 | 5 | |
| 8 | 2013 | 24 | |
| 9 | 2013 | 13 | |
| 10 | 2012 | 21 | |
| 11 | 2012 | 1 | |
| 12 | 2011 | 3 | |
| 13 | 2007 | 32 | |
| 14 | Inferring the in vivo looping properties of DNA. | 2006 | 7 |
| 15 | 2006 | 21 | |
| 16 | 2006 | 61 | |
| 17 | 2006 | 70 | |
| 18 | 2005 | 108 | |
| 19 | 2004 | 21 | |
| 20 | 2001 | 115 |
About Leonor Saiz
Leonor Saiz is a scholar working on Fluid Flow and Transfer Processes, Modeling and Simulation and Molecular Biology, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (13 papers), Lipid Membrane Structure and Behavior (12 papers), Protein Structure and Dynamics (11 papers), Gene Regulatory Network Analysis (11 papers), Spectroscopy and Quantum Chemical Studies (9 papers), RNA and protein synthesis mechanisms (9 papers), Bacterial Genetics and Biotechnology (8 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (332 citations), Filtration and Separation (53 citations) and Atomic and Molecular Physics, and Optics (601 citations). Leonor Saiz has collaborated with scholars based in United States, Spain and India. Frequent co-authors include E. Guàrdia, José M. G. Vilar, Michael L. Klein, J. A. Padró, Sanjoy Bandyopadhyay, Andrei V. Komolkin, Jordi Martı́, Mónica Pickholz, J. M. Rubı́ and Satyavani Vemparala. Their work appears in journals such as Biophysical Journal, Scientific Reports, The Journal of Physical Chemistry B, Proceedings of the National Academy of Sciences and The Journal of Chemical Physics.
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.