Esperanza Martín‐Sánchez

705 total citations
21 papers, 224 citations indexed

About

Esperanza Martín‐Sánchez is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Esperanza Martín‐Sánchez has authored 21 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Esperanza Martín‐Sánchez's work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Esperanza Martín‐Sánchez is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Esperanza Martín‐Sánchez collaborates with scholars based in Spain, United States and Czechia. Esperanza Martín‐Sánchez's co-authors include David Guerrero‐Setas, Alicia Córdoba, Idoia Blanco‐Luquin, Margarita Sánchez‐Beato, Miguel Á. Piris, Socorro Marıá Rodríguez-Pinilla, Raquel Pajares, David Escors, Lydia Sánchez-Verde and Pablo L. Ortiz‐Romero and has published in prestigious journals such as Blood, Clinical Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Esperanza Martín‐Sánchez

17 papers receiving 220 citations

Peers

Esperanza Martín‐Sánchez
Comparison fields: 5 of 50
  • Molecular Biology 118
  • Cancer Research 80
  • Oncology 65
  • Pathology and Forensic Medicine 57
  • Immunology 44
Replace Simone Jueliger with:
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Simone Jueliger United States View profile →
Citations per field, relative to Esperanza Martín‐Sánchez
Esperanza Martín‐Sánchez · 1×
Citations per year, relative to Esperanza Martín‐Sánchez
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Countries citing papers authored by Esperanza Martín‐Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Esperanza Martín‐Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esperanza Martín‐Sánchez. 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 Esperanza Martín‐Sánchez. The network helps show where Esperanza Martín‐Sánchez may publish in the future.

Co-authorship network of co-authors of Esperanza Martín‐Sánchez

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 5
3 0
4 1
5 4
6 4
7 5
8 35
9 14
10 0
11 11
12 24
13 13
14 24
15 44
16 21
17 0
18 0
19 1
20 1

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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