Silvia Vidal-Millán

35 total papers · 470 total citations
21 papers, 328 citations indexed

About

Silvia Vidal-Millán is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Silvia Vidal-Millán has authored 21 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Oncology. Recurrent topics in Silvia Vidal-Millán's work include BRCA gene mutations in cancer (4 papers), Acute Lymphoblastic Leukemia research (3 papers) and Genetic factors in colorectal cancer (3 papers). Silvia Vidal-Millán is often cited by papers focused on BRCA gene mutations in cancer (4 papers), Acute Lymphoblastic Leukemia research (3 papers) and Genetic factors in colorectal cancer (3 papers). Silvia Vidal-Millán collaborates with scholars based in Mexico, United States and Colombia. Silvia Vidal-Millán's co-authors include Talía Wegman-Ostrosky, José Sánchez‐Corona, Ernesto Soto‐Reyes, Lucía Taja‐Chayeb, Alfonso Dueñas‐González, Luis A. Herrera, Olga Gutiérrez, Myrna Candelaria, Rosa María Álvarez-Gómez and Alejandro Mohar and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Oncology.

In The Last Decade

Silvia Vidal-Millán

21 papers receiving 321 citations

Author Peers

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

Author Last Decade Papers Cites
Silvia Vidal-Millán 135 91 75 53 53 21 328
M. Maasberg 140 1.0× 36 0.4× 105 1.4× 39 0.7× 62 1.2× 15 330
Dunyong Tan 152 1.1× 63 0.7× 87 1.2× 18 0.3× 39 0.7× 18 338
Rocío Fuente 107 0.8× 50 0.5× 69 0.9× 14 0.3× 26 0.5× 22 317
Kohji Miura 137 1.0× 135 1.5× 65 0.9× 67 1.3× 13 0.2× 18 319
Jing Wang 94 0.7× 28 0.3× 78 1.0× 26 0.5× 35 0.7× 27 275
Kanae Ono 146 1.1× 27 0.3× 59 0.8× 45 0.8× 22 0.4× 19 360
Nicole M Agostino 129 1.0× 29 0.3× 84 1.1× 20 0.4× 39 0.7× 19 327
Isabel Gaspar 103 0.8× 100 1.1× 44 0.6× 65 1.2× 56 1.1× 15 327
Mohammed T. Tayeb 135 1.0× 80 0.9× 87 1.2× 15 0.3× 22 0.4× 22 362
Haruhiko Hirai 154 1.1× 98 1.1× 38 0.5× 23 0.4× 52 1.0× 16 335

Countries citing papers authored by Silvia Vidal-Millán

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Vidal-Millán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Vidal-Millán. 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 Vidal-Millán. The network helps show where Silvia Vidal-Millán may publish in the future.

Co-authorship network of co-authors of Silvia Vidal-Millán

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