Leonardo Dagdug
- Statistical and Nonlinear Physics top 1%
- Molecular Biology
- Biomedical Engineering top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Materials Chemistry
- Co-authors
- Alexander M. BerezhkovskiiSergey M. BezrukovV. Yu. ZitsermanYu. A. MakhnovskiiJosé Álvarez‐RamírezGeorge H. WeissL. S. Garcı́a-Colı́nAlexei T. Skvortsov
- Topics
- Diffusion and Search Dynamics (46 papers)stochastic dynamics and bifurcation (44 papers)Nanopore and Nanochannel Transport Studies (34 papers)
- Partner nations
- MexicoUnited StatesRussia
In The Last Decade
Leonardo Dagdug
121 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Statistical and Nonlinear Physics 684
- Molecular Biology 587
- Biomedical Engineering 561
- Atomic and Molecular Physics, and Optics 173
- Materials Chemistry 162
Countries citing papers authored by Leonardo Dagdug
This map shows the geographic impact of Leonardo Dagdug'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 Leonardo Dagdug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Dagdug more than expected).
Fields of papers citing papers by Leonardo Dagdug
This network shows the impact of papers produced by Leonardo Dagdug. 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 Leonardo Dagdug. The network helps show where Leonardo Dagdug may publish in the future.
Co-authorship network of co-authors of Leonardo Dagdug
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Dagdug. A scholar is included among the top collaborators of Leonardo Dagdug 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 Leonardo Dagdug. Leonardo Dagdug is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 20 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 10 | |
| 13 | 29 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 30 | |
| 17 | An entropy based theory for the viscosity of strong glasses | 2 |
| 18 | Theoretical basis for the study of the effect of base composition on DNA melting | 2 |
| 19 | 40 | |
| 20 | Theoretical predictions of the melting temperature for DNA using the stochastic matrix method | 2 |
About Leonardo Dagdug
Leonardo Dagdug is a scholar working on Statistical and Nonlinear Physics, Physical and Theoretical Chemistry and Modeling and Simulation, having authored 127 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diffusion and Search Dynamics (46 papers), stochastic dynamics and bifurcation (44 papers) and Nanopore and Nanochannel Transport Studies (34 papers). The work is most often cited by research in Statistical and Nonlinear Physics (684 citations), Modeling and Simulation (87 citations) and Biomedical Engineering (561 citations). Leonardo Dagdug has collaborated with scholars based in Mexico, United States and Russia. Frequent co-authors include Alexander M. Berezhkovskii, Sergey M. Bezrukov, V. Yu. Zitserman, Yu. A. Makhnovskii, José Álvarez‐Ramírez, George H. Weiss, L. S. Garcı́a-Colı́n, Alexei T. Skvortsov, Amir Gandjbakhche and Eduardo Rodríguez. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Biophysical Journal.
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.