Marisol Salgado-Albarrán

19 total papers · 450 total citations
12 papers, 315 citations indexed

About

Marisol Salgado-Albarrán is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Marisol Salgado-Albarrán has authored 12 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Computational Theory and Mathematics. Recurrent topics in Marisol Salgado-Albarrán's work include Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (3 papers) and Bioinformatics and Genomic Networks (3 papers). Marisol Salgado-Albarrán is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (3 papers) and Bioinformatics and Genomic Networks (3 papers). Marisol Salgado-Albarrán collaborates with scholars based in Mexico, Germany and Denmark. Marisol Salgado-Albarrán's co-authors include Jan Baumbach, Ernesto Soto‐Reyes, Sepideh Sadegh, Julian Matschinske, Josch K. Pauling, Tim Rose, David B. Blumenthal, Alejandro Garcı́a-Carrancá, Cristian Nogales and Tim Kacprowski and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Oncotarget.

In The Last Decade

Marisol Salgado-Albarrán

12 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
Marisol Salgado-Albarrán 221 86 70 41 25 12 315
Chandrasekhar Gopalakrishnan 228 1.0× 52 0.6× 52 0.7× 19 0.5× 19 0.8× 11 337
Ksenia Lezhnina 213 1.0× 108 1.3× 53 0.8× 20 0.5× 18 0.7× 8 359
Pauline Traynard 265 1.2× 65 0.8× 43 0.6× 13 0.3× 16 0.6× 9 341
Chayaporn Suphavilai 153 0.7× 80 0.9× 47 0.7× 35 0.9× 6 0.2× 14 222
Lukas Folkman 214 1.0× 48 0.6× 19 0.3× 23 0.6× 49 2.0× 14 335
I. Grossman 142 0.6× 95 1.1× 14 0.2× 40 1.0× 20 0.8× 7 358
Xiongfei Tian 252 1.1× 66 0.8× 135 1.9× 27 0.7× 6 0.2× 11 322
Deborah K. Ngan 155 0.7× 88 1.0× 34 0.5× 42 1.0× 15 0.6× 13 318
Christian T. Meyer 183 0.8× 87 1.0× 48 0.7× 16 0.4× 7 0.3× 17 329
Joseph Hackett 195 0.9× 35 0.4× 37 0.5× 11 0.3× 17 0.7× 12 304

Countries citing papers authored by Marisol Salgado-Albarrán

Since Specialization
Citations

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

Fields of papers citing papers by Marisol Salgado-Albarrán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marisol Salgado-Albarrán. 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 Marisol Salgado-Albarrán. The network helps show where Marisol Salgado-Albarrán may publish in the future.

Co-authorship network of co-authors of Marisol Salgado-Albarrán

This figure shows the co-authorship network connecting the top 25 collaborators of Marisol Salgado-Albarrán. A scholar is included among the top collaborators of Marisol Salgado-Albarrán 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 Marisol Salgado-Albarrán. Marisol Salgado-Albarrán 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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