M. Masip

1.8k total citations
67 papers, 1.2k citations indexed

About

M. Masip is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. Masip has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Nuclear and High Energy Physics, 27 papers in Astronomy and Astrophysics and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. Masip's work include Particle physics theoretical and experimental studies (45 papers), Dark Matter and Cosmic Phenomena (28 papers) and Astrophysics and Cosmic Phenomena (26 papers). M. Masip is often cited by papers focused on Particle physics theoretical and experimental studies (45 papers), Dark Matter and Cosmic Phenomena (28 papers) and Astrophysics and Cosmic Phenomena (26 papers). M. Masip collaborates with scholars based in Spain, United States and Italy. M. Masip's co-authors include J. I. Illana, Alex Pomarol, Roberto Emparan, Riccardo Rattazzi, Davide Meloni, José Santiago, F. del Águila, Andrija Rašin, Adrián Carmona and M. Pérez-Victoria and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

M. Masip

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Masip Spain 18 968 408 120 46 44 67 1.2k
Yusuke Yamada Japan 14 289 0.3× 305 0.7× 53 0.4× 13 0.3× 51 1.2× 104 682
Dahua Zhang United States 12 316 0.3× 56 0.1× 189 1.6× 20 0.4× 30 0.7× 29 762
Feng-Wei Chen China 11 181 0.2× 180 0.4× 118 1.0× 6 0.1× 79 1.8× 13 408
Patricia M. Schwarz United States 11 184 0.2× 181 0.4× 727 6.1× 20 0.4× 85 1.9× 16 1.2k
Xiangnan Zhou China 12 147 0.2× 144 0.4× 37 0.3× 11 0.2× 65 1.5× 45 369
Tonghua Liu China 18 174 0.2× 463 1.1× 41 0.3× 6 0.1× 73 1.7× 63 803
Damien Bégué Israel 13 258 0.3× 319 0.8× 158 1.3× 6 0.1× 5 0.1× 32 585
Alberto Romagnoni France 10 225 0.2× 90 0.2× 106 0.9× 5 0.1× 119 2.7× 18 602
Wei Liao China 15 588 0.6× 81 0.2× 148 1.2× 7 0.2× 5 0.1× 54 859
Paul W. Angel Australia 12 166 0.2× 343 0.8× 412 3.4× 7 0.2× 15 0.3× 16 955

Countries citing papers authored by M. Masip

Since Specialization
Citations

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

Fields of papers citing papers by M. Masip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Masip

This figure shows the co-authorship network connecting the top 25 collaborators of M. Masip. A scholar is included among the top collaborators of M. Masip 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 M. Masip. M. Masip 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.
Illana, J. I., et al.. (2020). ρ parameter and H0→ℓiℓj in models with TeV sterile neutrinos. Physical review. D. 102(11). 12 indexed citations
2.
Illana, J. I., et al.. (2020). Effects of heavy Majorana neutrinos on lepton flavor violating processes. Physical review. D. 101(7). 26 indexed citations
3.
Gutiérrez, M. & M. Masip. (2020). The Sun at TeV energies: Gammas, neutrons, neutrinos and a cosmic ray shadow. Astroparticle Physics. 119. 102440–102440. 10 indexed citations
4.
Soriano, Jorge F., Luis A. Anchordoqui, Ignatios Antoniadis, et al.. (2019). The Pros and Cons of Beyond Standard Model Interpretations of ANITA Events. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 884–884. 2 indexed citations
5.
Battaner, E., et al.. (2011). Cosmic magnetic lenses. Astronomy and Astrophysics. 527. A79–A79. 7 indexed citations
6.
Illana, J. I., et al.. (2011). Propagation in the atmosphere of ultrahigh-energy charmed hadrons. Physical review. D. Particles, fields, gravitation, and cosmology. 83(3). 3 indexed citations
7.
Carmona, Adrián, et al.. (2011). Gluon excitations intt¯production at hadron colliders. Physical review. D. Particles, fields, gravitation, and cosmology. 84(1). 24 indexed citations
8.
Masip, M., Anna Veiga, Juan Carlos Izpisúa Belmonte, & Carlos Simón. (2010). Reprogramming with defined factors: from induced pluripotency to induced transdifferentiation. Molecular Human Reproduction. 16(11). 856–868. 55 indexed citations
9.
Rodrı́guez, René, Ruth Rubio, M. Masip, et al.. (2009). Loss of p53 Induces Tumorigenesis in p21-Deficient Mesenchymal Stem Cells. Neoplasia. 11(4). 397–IN9. 86 indexed citations
10.
Battaner, E., et al.. (2009). GALACTIC MAGNETIC FIELDS AND THE LARGE-SCALE ANISOTROPY AT MILAGRO. The Astrophysical Journal. 703(1). L90–L93. 15 indexed citations
11.
Hambardzumyan, Dolores, Reynald Thinard, Virginie Bonnamain, et al.. (2008). AUF1 and Hu proteins in the developing rat brain: Implication in the proliferation and differentiation of neural progenitors. Journal of Neuroscience Research. 87(6). 1296–1309. 31 indexed citations
12.
Ahlers, M., J. I. Illana, M. Masip, & Davide Meloni. (2007). Long-lived staus from cosmic rays. Journal of Cosmology and Astroparticle Physics. 2007(8). 8–8. 12 indexed citations
13.
Masip, M. & Iacopo Mastromatteo. (2006). Higgsino dark matter in partly supersymmetric models. Physical review. D. Particles, fields, gravitation, and cosmology. 73(1). 8 indexed citations
14.
Illana, J. I., M. Masip, & Davide Meloni. (2004). Cosmogenic Neutrinos and Signals of TeV Gravity in Air Showers and Neutrino Telescopes. Physical Review Letters. 93(15). 151102–151102. 16 indexed citations
15.
Illana, J. I. & M. Masip. (2003). Lepton flavor violation inZand lepton decays in supersymmetric models. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 67(3). 28 indexed citations
16.
Cornet, Fernando, J. I. Illana, & M. Masip. (2001). TeV Strings and the Neutrino-Nucleon Cross Section at Ultrahigh Energies. Physical Review Letters. 86(19). 4235–4238. 47 indexed citations
17.
Masip, M. & Alex Pomarol. (1999). Effects of standard model Kaluza-Klein excitations on electroweak observables. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 60(9). 117 indexed citations
18.
Masip, M. & Andrija Rašin. (1996). CP violation in multi-Higgs supersymmetric models. Nuclear Physics B. 460(3). 449–469. 16 indexed citations
19.
Águila, F. del, M. Masip, & L.A.C.P. da Mota. (1994). PATTERNS OF QUARK MASS MATRICES IN A CLASS OF CALABI-YAU MODELS. 2 indexed citations
20.
Griffin, Paul A., M. Masip, & Michael McGuigan. (1994). Determination of ‖Vts‖ fromD→K*lν andB→K*γ data via heavy quark symmetry and perturbative QCD. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 50(9). 5751–5761. 9 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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