Maylin Almonte‐Becerril

40 total papers · 4.6k total citations
19 papers, 436 citations indexed

About

Maylin Almonte‐Becerril is a scholar working on Molecular Biology, Rheumatology and Cancer Research. According to data from OpenAlex, Maylin Almonte‐Becerril has authored 19 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Rheumatology and 5 papers in Cancer Research. Recurrent topics in Maylin Almonte‐Becerril's work include Osteoarthritis Treatment and Mechanisms (6 papers), Extracellular vesicles in disease (5 papers) and Cell Adhesion Molecules Research (4 papers). Maylin Almonte‐Becerril is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (6 papers), Extracellular vesicles in disease (5 papers) and Cell Adhesion Molecules Research (4 papers). Maylin Almonte‐Becerril collaborates with scholars based in Mexico, Spain and Sweden. Maylin Almonte‐Becerril's co-authors include Juan B. Kourí, Marco Antonio Vega‐López, C Lavalle, Fernando Navarro‐García, Arturo González‐Robles, Mercedes Costell, Wilhelm Bloch, Francisco J. Blanco, Erika Gustafsson and M.J. López-Armada and has published in prestigious journals such as PLoS ONE, Annals of the New York Academy of Sciences and Annals of the Rheumatic Diseases.

In The Last Decade

Maylin Almonte‐Becerril

17 papers receiving 431 citations

Author Peers

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

Author						Papers	Cites
Maylin Almonte‐Becerril	198	173	101	76	58	19	436
Sabrina Priam	175 0.9×	191 1.1×	48 0.5×	67 0.9×	45 0.8×	13	457
Susumu Kajihara	56 0.3×	174 1.0×	91 0.9×	71 0.9×	37 0.6×	17	486
D. R. Bard	128 0.6×	103 0.6×	40 0.4×	47 0.6×	49 0.8×	25	425
Yune‐Jung Park	182 0.9×	161 0.9×	72 0.7×	27 0.4×	116 2.0×	23	475
S.H. Madsen	126 0.6×	129 0.7×	25 0.2×	60 0.8×	21 0.4×	12	385
Xiaoyin Tang	62 0.3×	113 0.7×	60 0.6×	64 0.8×	24 0.4×	25	429
Nadia Sassi	162 0.8×	205 1.2×	17 0.2×	66 0.9×	22 0.4×	18	404
Yanhong Bu	63 0.3×	243 1.4×	38 0.4×	57 0.8×	31 0.5×	26	368
Harumi Yamazaki	158 0.8×	174 1.0×	39 0.4×	41 0.5×	16 0.3×	13	412
Zihao Li	121 0.6×	251 1.5×	40 0.4×	52 0.7×	18 0.3×	14	396

Countries citing papers authored by Maylin Almonte‐Becerril

Since Specialization

Citations

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

Fields of papers citing papers by Maylin Almonte‐Becerril

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maylin Almonte‐Becerril. 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 Maylin Almonte‐Becerril. The network helps show where Maylin Almonte‐Becerril may publish in the future.

Co-authorship network of co-authors of Maylin Almonte‐Becerril

This figure shows the co-authorship network connecting the top 25 collaborators of Maylin Almonte‐Becerril. A scholar is included among the top collaborators of Maylin Almonte‐Becerril 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 Maylin Almonte‐Becerril. Maylin Almonte‐Becerril 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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