Daniel Cabrera

608 total citations
21 papers, 384 citations indexed

About

Daniel Cabrera is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Daniel Cabrera has authored 21 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nuclear and High Energy Physics, 2 papers in Atomic and Molecular Physics, and Optics and 1 paper in Condensed Matter Physics. Recurrent topics in Daniel Cabrera's work include Quantum Chromodynamics and Particle Interactions (18 papers), Particle physics theoretical and experimental studies (17 papers) and High-Energy Particle Collisions Research (17 papers). Daniel Cabrera is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (18 papers), Particle physics theoretical and experimental studies (17 papers) and High-Energy Particle Collisions Research (17 papers). Daniel Cabrera collaborates with scholars based in Spain, Germany and Brazil. Daniel Cabrera's co-authors include Elena Bratkovskaya, Juan M. Torres-Rincón, Taesoo Song, W. Cassing, H. Berrehrah, Laura Tolós, Luciano M. Abreu, Felipe J. Llanes–Estrada, C. Markert and J. Aichelin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and Annals of Physics.

In The Last Decade

Daniel Cabrera

19 papers receiving 380 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Cabrera Spain 11 381 26 9 7 4 21 384
Jan Uphoff Germany 11 475 1.2× 34 1.3× 5 0.6× 6 0.9× 3 0.8× 23 475
Sandy Donnachie United Kingdom 2 261 0.7× 15 0.6× 6 0.7× 5 0.7× 5 1.3× 2 269
Mariola Kłusek-Gawenda Poland 11 296 0.8× 19 0.7× 19 2.1× 5 0.7× 7 1.8× 30 303
Phuoc Ha United States 14 364 1.0× 22 0.8× 14 1.6× 3 0.4× 1 0.3× 24 366
Yoji Totsuka Japan 7 185 0.5× 25 1.0× 17 1.9× 3 0.4× 4 1.0× 15 206
T. S. Sinegovskaya Russia 8 278 0.7× 21 0.8× 7 0.8× 4 0.6× 1 0.3× 21 287
Tim Schuster Germany 7 273 0.7× 30 1.2× 7 0.8× 3 0.4× 2 0.5× 14 276
Joaquin Grefa United States 4 116 0.3× 62 2.4× 7 0.8× 9 1.3× 3 0.8× 10 132
J. Ossmann Germany 7 287 0.8× 22 0.8× 11 1.2× 2 0.3× 4 1.0× 7 299
Chungsik Song United States 12 302 0.8× 19 0.7× 18 2.0× 13 1.9× 1 0.3× 16 303

Countries citing papers authored by Daniel Cabrera

Since Specialization
Citations

This map shows the geographic impact of Daniel Cabrera'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 Cabrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cabrera more than expected).

Fields of papers citing papers by Daniel Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Cabrera. 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 Cabrera. The network helps show where Daniel Cabrera may publish in the future.

Co-authorship network of co-authors of Daniel Cabrera

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Cabrera. A scholar is included among the top collaborators of Daniel Cabrera 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 Daniel Cabrera. Daniel Cabrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cabrera, Daniel, et al.. (2025). Correlation Between COVID-19 Recovery, Executive Function Decline, and Emotional State. Psychology Research and Behavior Management. Volume 18. 1007–1019.
2.
Blair, Justin Thomas, et al.. (2019). Probing hot and dense nuclear matter with K*, K¯* vector mesons. Physical review. C. 99(2). 15 indexed citations
3.
Cabrera, Daniel, et al.. (2017). K* vector meson resonance dynamics in heavy-ion collisions. Physical review. C. 95(1). 21 indexed citations
4.
Song, Taesoo, H. Berrehrah, Juan M. Torres-Rincón, et al.. (2017). Single electrons from heavy-flavor mesons in relativistic heavy-ion collisions. Physical review. C. 96(1). 12 indexed citations
5.
Song, Taesoo, H. Berrehrah, Daniel Cabrera, W. Cassing, & Elena Bratkovskaya. (2016). Charm production in Pb + Pb collisions at energies available at the CERN Large Hadron Collider. Physical review. C. 93(3). 82 indexed citations
6.
Song, Taesoo, H. Berrehrah, Daniel Cabrera, et al.. (2015). Tomography of the quark-gluon plasma by charm quarks. Physical Review C. 92(1). 100 indexed citations
7.
Cabrera, Daniel, Laura Tolós, J. Aichelin, & Elena Bratkovskaya. (2015). S= −1 meson-baryon interaction in hot and dense nuclear matter: chiral symmetry, many-body and unitarization for a road to GSI/FAIR. SHILAP Revista de lepidopterología. 97. 8–8. 1 indexed citations
8.
Cabrera, Daniel, et al.. (2015). K* dynamics in heavy ion collisions. SHILAP Revista de lepidopterología. 97. 16–16. 1 indexed citations
9.
Cabrera, Daniel, et al.. (2014). Strange and heavy mesons in hadronic matter. EPrints Complutense Repositorio Institucional de la UCM (Universidad Complutense de Madrid). 4 indexed citations
10.
Cabrera, Daniel, et al.. (2014). Properties of strange vector mesons in dense and hot matter. Nuclear Physics A. 927. 249–265. 12 indexed citations
11.
Semay, Claude, et al.. (2013). Glueballs and the Yang-Mills plasma in aT-matrix approach. Physical review. D. Particles, fields, gravitation, and cosmology. 87(5). 10 indexed citations
12.
Abreu, Luciano M., Daniel Cabrera, & Juan M. Torres-Rincón. (2013). Transport properties of bottomed mesons in a hot mesonic gas. Physical review. D. Particles, fields, gravitation, and cosmology. 87(3). 25 indexed citations
13.
Cabrera, Daniel, Luciano M. Abreu, Felipe J. Llanes–Estrada, & Juan M. Torres-Rincón. (2013). Heavy flavor relaxation in a hadronic medium. Nuclear Physics A. 914. 505–511. 2 indexed citations
14.
Abreu, Luciano M., Daniel Cabrera, Felipe J. Llanes–Estrada, & Juan M. Torres-Rincón. (2011). Charm diffusion in a pion gas implementing unitarity, chiral and heavy quark symmetries. Annals of Physics. 326(10). 2737–2772. 48 indexed citations
15.
Tolós, Laura, Daniel Cabrera, R. Molina, E. Oset, & À. Ramos. (2010). Strange Meson Production at High Density and Temperature(Hadrons in Nuclei,New Frontiers in QCD 2010-Exotic Hadron Systems and Dense Matter-). Progress of Theoretical Physics Supplement. 384–389. 1 indexed citations
16.
Tolós, Laura, Daniel Cabrera, R. Molina, E. Oset, & À. Ramos. (2010). Strange Meson Production at High Density and Temperature. Progress of Theoretical Physics Supplement. 186. 384–389. 1 indexed citations
17.
Yamagata-Sekihara, J., Daniel Cabrera, M. J. Vicente Vacas, & S. Hirenzaki. (2010). Formation of   Mesic Nuclei. Progress of Theoretical Physics. 124(1). 147–162. 13 indexed citations
18.
Cabrera, Daniel & Ralf Rapp. (2006). T-Matrix Approach to Quarkonium Correlation Functions in the QGP. CERN Bulletin. 3 indexed citations
19.
Tolós, Laura, Daniel Cabrera, À. Ramos, & A. Polls. (2005). The effect of the in-medium Θ+ pentaquark on the kaon optical potential. Physics Letters B. 632(2-3). 219–225. 11 indexed citations
20.
Cabrera, Daniel, et al.. (1998). La importancia del laboratorio de cirugía experimental en la formación del cirujano. 9(2). 71–76. 1 indexed citations

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.

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