Rebeca Martínez‐Hernández

1.2k citations
36 papers · 827 indexed · h-index 16

Rebeca Martínez‐Hernández

33 papers receiving 819 citations

Peers

Rebeca Martínez‐Hernández
Comparison fields: 5 of 70
  • Genetics 464
  • Molecular Biology 541
  • Immunology 119
  • Surgery 221
  • Cancer Research 73
Replace Akiyoshi Ogino with:
Akiyoshi Ogino Japan
Tracy Gentry United States
Yusuke Tomita Japan
Daniel Hormaechea‐Agulla Spain
Young Zoon Kim South Korea
Reimar Junckerstorff Australia
Noboru Egashira Japan
Matheus P. Pereira United States
Fábio Motta Italy
João N. Stávale Brazil
Rebeca Martínez‐Hernández relative to Akiyoshi Ogino Japan Akiyoshi Ogino's profile →
Citations per field
00.5×4.1×
Akiyoshi Ogino · 1×
Citations per year

Countries citing papers authored by Rebeca Martínez‐Hernández

Since Specialization
Citations

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

Fields of papers citing papers by Rebeca Martínez‐Hernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rebeca Martínez‐Hernández. 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 Rebeca Martínez‐Hernández. The network helps show where Rebeca Martínez‐Hernández may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Rebeca Martínez‐Hernández, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rebeca Martínez‐Hernández Line = papers co-authored together Rebeca Martínez‐Hernández links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20246
4 20241
5 20247
6 20234
7 202314
8 202017
9 20209
10 201843
11 201757
12 201527
13 201430
14 201267
15 201127
16 201125
17 20119
18 201013
19 200976
20 2008131

About Rebeca Martínez‐Hernández

Rebeca Martínez‐Hernández is a scholar working on Genetics, Immunology and Molecular Biology, having authored 36 papers that have together received 827 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (13 papers), RNA modifications and cancer (9 papers), Congenital Anomalies and Fetal Surgery (8 papers), Peptidase Inhibition and Analysis (4 papers), T-cell and B-cell Immunology (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Immune Cell Function and Interaction (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Genetics (464 citations), Molecular Biology (541 citations) and Immunology (119 citations). Rebeca Martínez‐Hernández has collaborated with scholars based in Spain, Mexico and Czechia. Frequent co-authors include Sara Bernal, Eduardo F. Tizzano, Laura Alías, Mónica Marazuela, Ana Serrano-Somavilla, Eva Also‐Rallo, Miguel Sampedro‐Núñez, Ana M. Ramos‐Leví, Roberto González‐Amaro and Montserrat Baiget. Their work appears in journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

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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