Javier Martínez‐Useros

1.7k citations
55 papers · 1.2k indexed · h-index 21

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Treatments and Studies

Papers in

    • Cancer, Lipids, and Metabolism 6
    • Cancer Genomics and Diagnostics 5
    • Pancreatic and Hepatic Oncology Research 11
    • Colorectal Cancer Treatments and Studies 7
    • Colorectal Cancer Surgical Treatments 4

Javier Martínez‐Useros

50 papers receiving 1.2k citations

Peers

Javier Martínez‐Useros
Comparison fields: 5 of 97
  • Cancer Research 336
  • Oncology 383
  • Molecular Biology 671
  • Pathology and Forensic Medicine 175
  • Cell Biology 78
Replace Paula Sotomayor with:
Paula Sotomayor United States
Michelle W. Wong‐Brown Australia
Angelina V. Vaseva United States
Italia Falcone Italy
Shu Okamura Japan
Naoise C. Synnott Ireland
Janine Arts Netherlands
Tony W.H. Li United States
Zhenhai Yu China
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Citations per field
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Paula Sotomayor · 1×
Citations per year

Countries citing papers authored by Javier Martínez‐Useros

Since Specialization
Citations

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

Fields of papers citing papers by Javier Martínez‐Useros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Martínez‐Useros, 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 Javier Martínez‐Useros Line = papers co-authored together Javier Martínez‐Useros links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20244
5 20238
6 20236
7 20234
8 202216
9 202217
10 20213
11 202133
12 202054
13 202011
14 201921
15 201925
16 201823
17 201715
18 201616
19 201628
20 2014104

About Javier Martínez‐Useros

Javier Martínez‐Useros is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Geriatrics and Gerontology and Molecular Biology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (11 papers), Genetic factors in colorectal cancer (10 papers), Colorectal Cancer Treatments and Studies (7 papers), RNA modifications and cancer (7 papers), Cancer, Lipids, and Metabolism (6 papers), Cancer Genomics and Diagnostics (5 papers), Colorectal Cancer Surgical Treatments (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Cancer Research (336 citations), Oncology (383 citations), Molecular Biology (671 citations), Pathology and Forensic Medicine (175 citations) and Cell Biology (78 citations). Javier Martínez‐Useros has collaborated with scholars based in Spain, United Kingdom and Poland. Frequent co-authors include Jesús García‐Foncillas, Weiyao Li, María Jesús Fernández‐Aceñero, Federico Rojo, Cristina Caramés, Sandra Zazo, María Rodríguez‐Remírez, Óscar Aguilera, Laura del Puerto‐Nevado and Ion Cristóbal. Their work appears in journals such as Journal of Clinical Medicine, Cancers, Cells, BMC Cancer and International Journal of Molecular Sciences.

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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