M.A. Pérez-Albarsanz

44 total papers · 525 total citations
43 papers, 468 citations indexed

About

M.A. Pérez-Albarsanz is a scholar working on Molecular Biology, Nutrition and Dietetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, M.A. Pérez-Albarsanz has authored 43 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Nutrition and Dietetics and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in M.A. Pérez-Albarsanz's work include Fatty Acid Research and Health (12 papers), Neuroscience and Neuropharmacology Research (7 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). M.A. Pérez-Albarsanz is often cited by papers focused on Fatty Acid Research and Health (12 papers), Neuroscience and Neuropharmacology Research (7 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). M.A. Pérez-Albarsanz collaborates with scholars based in Spain and Chile. M.A. Pérez-Albarsanz's co-authors include Ángel Martín Municio, Juan Carlos Prieto, I. Carrero, Marı́a J. Carmena, María C. Recio, A.M. Municio, Alicia Megı́as, J.A. Ramos, José M. Odriozola and Juan Carlos Prieto and has published in prestigious journals such as Biochemical and Biophysical Research Communications, European Journal of Biochemistry and Life Sciences.

In The Last Decade

M.A. Pérez-Albarsanz

43 papers receiving 458 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M.A. Pérez-Albarsanz	202	123	118	67	63	43	468
Myong Won Kahng	155 0.8×	100 0.8×	23 0.2×	35 0.5×	26 0.4×	25	462
S.P. Felton	217 1.1×	67 0.5×	37 0.3×	18 0.3×	44 0.7×	22	428
M. Vuillaume	189 0.9×	36 0.3×	46 0.4×	73 1.1×	14 0.2×	23	426
Jiayuan Wu	155 0.8×	56 0.5×	33 0.3×	42 0.6×	11 0.2×	28	420
Takeshi Kunimatsu	219 1.1×	166 1.3×	86 0.7×	36 0.5×	13 0.2×	23	521
Matheus Mülling dos Santos	80 0.4×	65 0.5×	40 0.3×	11 0.2×	24 0.4×	31	427
Rashmi Sharma	260 1.3×	63 0.5×	34 0.3×	38 0.6×	34 0.5×	32	485
Koichi SUGENO	169 0.8×	59 0.5×	25 0.2×	44 0.7×	49 0.8×	33	523
David Jay	216 1.1×	77 0.6×	51 0.4×	21 0.3×	24 0.4×	24	507
Premjit P. Halarnkar	144 0.7×	40 0.3×	154 1.3×	11 0.2×	70 1.1×	19	425

Countries citing papers authored by M.A. Pérez-Albarsanz

Since Specialization

Citations

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

Fields of papers citing papers by M.A. Pérez-Albarsanz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Pérez-Albarsanz. 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.A. Pérez-Albarsanz. The network helps show where M.A. Pérez-Albarsanz may publish in the future.

Co-authorship network of co-authors of M.A. Pérez-Albarsanz

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

All Works

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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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