Silvia Ramírez‐Peinado

16 total papers · 581 total citations
9 papers, 476 citations indexed

About

Silvia Ramírez‐Peinado is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Silvia Ramírez‐Peinado has authored 9 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Cell Biology. Recurrent topics in Silvia Ramírez‐Peinado's work include Autophagy in Disease and Therapy (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Cell death mechanisms and regulation (3 papers). Silvia Ramírez‐Peinado is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Cell death mechanisms and regulation (3 papers). Silvia Ramírez‐Peinado collaborates with scholars based in Spain, United States and Germany. Silvia Ramírez‐Peinado's co-authors include Cristina Muñoz‐Pinedo, Alfredo Caro‐Maldonado, Nadia El Mjiyad, Laura Lagares‐Tena, Òscar M. Tirado, Jean‐Ehrland Ricci, Stephen W. G. Tait, Jochen H.M. Prehn, Douglas R. Green and Isabel Fabregat and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Oncogene.

In The Last Decade

Silvia Ramírez‐Peinado

9 papers receiving 469 citations

Author Peers

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

Author						Papers	Cites
Silvia Ramírez‐Peinado	346	172	128	116	44	9	476
Paula P. Coelho	331 1.0×	174 1.0×	83 0.6×	53 0.5×	44 1.0×	9	450
Daria Sicari	277 0.8×	121 0.7×	93 0.7×	191 1.6×	22 0.5×	14	471
Hala Elnakat Thomas	310 0.9×	109 0.6×	145 1.1×	45 0.4×	28 0.6×	9	456
Brendan T. Finicle	289 0.8×	157 0.9×	41 0.3×	85 0.7×	46 1.0×	9	461
Fred Lozy	296 0.9×	117 0.7×	265 2.1×	74 0.6×	21 0.5×	8	513
Annick Notte	268 0.8×	185 1.1×	186 1.5×	73 0.6×	19 0.4×	6	474
Fiorella Faienza	318 0.9×	137 0.8×	222 1.7×	53 0.5×	23 0.5×	13	466
Avi Kumar	320 0.9×	169 1.0×	69 0.5×	50 0.4×	32 0.7×	12	474
Kristin B. Runkle	248 0.7×	74 0.4×	130 1.0×	134 1.2×	22 0.5×	8	415
Deepak Menon	330 1.0×	166 1.0×	42 0.3×	67 0.6×	53 1.2×	16	542

Countries citing papers authored by Silvia Ramírez‐Peinado

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Ramírez‐Peinado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Ramírez‐Peinado. 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 Silvia Ramírez‐Peinado. The network helps show where Silvia Ramírez‐Peinado may publish in the future.

Co-authorship network of co-authors of Silvia Ramírez‐Peinado

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Ramírez‐Peinado. A scholar is included among the top collaborators of Silvia Ramírez‐Peinado 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 Silvia Ramírez‐Peinado. Silvia Ramírez‐Peinado 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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