Mercè Mateu-Jiménez

441 citations
12 papers · 367 · h-index 9

Impact in

    • Cancer Immunotherapy and Biomarkers
    • PARP inhibition in cancer therapy
    • Exercise and Physiological Responses

Papers in

Mercè Mateu-Jiménez

12 papers receiving 367 citations

Peers

Mercè Mateu-Jiménez
Comparison fields: 5 of 59
  • Oncology 98
  • Rehabilitation 21
  • Physiology 78
  • Geriatrics and Gerontology 10
  • Pulmonary and Respiratory Medicine 83
Replace Urszula Ciesielska with:
Urszula Ciesielska Poland
Guangjun Shi China
Tiffany Smith United States
Hongbo Zou China
Sara Peixoto da Silva Portugal
Juan Cao China
Qian Jiang China
Serena Contarelli Italy
Kazutoshi Tobimatsu Japan
Mu Xu China
Mercè Mateu-Jiménez relative to Urszula Ciesielska Poland Urszula Ciesielska's profile →
Citations per field
00.5×6.3×
Urszula Ciesielska · 1×
Citations per year

Countries citing papers authored by Mercè Mateu-Jiménez

Since Specialization
Citations

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

Fields of papers citing papers by Mercè Mateu-Jiménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mercè Mateu-Jiménez. 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 Mercè Mateu-Jiménez. The network helps show where Mercè Mateu-Jiménez may publish in the future.

Co-authors

The 23 scholars most cited alongside Mercè Mateu-Jiménez, 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 Mercè Mateu-Jiménez Line = papers co-authored together Mercè Mateu-Jiménez links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201474
2 201366
3 201748
4 202046
5 201639
6 201630
7 201821
8 201515
9 202015
10 20167
11 20204
12 20212

About Mercè Mateu-Jiménez

Mercè Mateu-Jiménez is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Physiology, having authored 12 papers that have together received 367 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Muscle Physiology and Disorders (2 papers), Nutrition and Health in Aging (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), PARP inhibition in cancer therapy (2 papers), Cancer Mechanisms and Therapy (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Oncology (98 citations), Rehabilitation (21 citations), Physiology (78 citations), Geriatrics and Gerontology (10 citations) and Pulmonary and Respiratory Medicine (83 citations). Mercè Mateu-Jiménez has collaborated with scholars based in Spain, Argentina and Italy. Frequent co-authors include Esther Barreiro, Clara Fermoselle, Lara Pijuán, Víctor Curull, Albert Sánchez‐Font, Joaquim Gea, Alberto Rodríguez-Fuster, Rafael Aguiló, Elisa Bal de Kier Joffé and Miriam Diament. Their work appears in journals such as Journal of Cellular Physiology, Cancers, Biochimie, Free Radical Biology and Medicine and Molecular Medicine.

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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