Daniel Martı́nez

2k citations
74 papers · 1.4k · h-index 21

Impact in

Papers in

Daniel Martı́nez

69 papers receiving 1.3k citations

Peers

Daniel Martı́nez
Comparison fields: 5 of 68
  • Pathology and Forensic Medicine 541
  • Genetics 204
  • Oncology 169
  • Pulmonary and Respiratory Medicine 124
  • Cancer Research 49
Replace Fiorella Ilariucci with:
Fiorella Ilariucci Italy
Jean‐Marc Zini France
Tuula Lehtinen Finland
Claudio Ghimenton Italy
Nadia Khan United States
Julie Abraham France
Bogdan Małkowski Poland
Lale Kostakoglu United States
Liliana Franca Devizzi Italy
Christopher McNamara United Kingdom
Daniel Martı́nez relative to Fiorella Ilariucci Italy Fiorella Ilariucci's profile →
Citations per field
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Fiorella Ilariucci · 1×
Citations per year

Countries citing papers authored by Daniel Martı́nez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martı́nez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Martı́nez. 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 Daniel Martı́nez. The network helps show where Daniel Martı́nez may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013192
2 2010159
3 201489
4 201361
5 201761
6 201456
7 202046
8 201544
9 201544
10 201536
11 200934
12 202131
13 201728
14 201728
15 202328
16 201927
17 202127
18 202126
19 201423
20 202123

About Daniel Martı́nez

Daniel Martı́nez is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology, Genetics and Physiology, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Lung Cancer Diagnosis and Treatment (6 papers), Lung Cancer Treatments and Mutations (3 papers), COVID-19 Clinical Research Studies (3 papers), Extracellular vesicles in disease (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Viral-associated cancers and disorders (2 papers) and Adrenal and Paraganglionic Tumors (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (541 citations), Genetics (204 citations), Oncology (169 citations), Pulmonary and Respiratory Medicine (124 citations) and Cancer Research (49 citations). Daniel Martı́nez has collaborated with scholars based in Spain, China and United States. Frequent co-authors include Elı́as Campo, Antonio Martı́nez, Armando López‐Guillermo, Eva Giné, Luís Colomo, Neus Villamor, Alexandra Valera, Jordi Esteve, Jordina Rovira and Blanca González‐Farré. Their work appears in journals such as Modern Pathology, Haematologica, International Journal of Molecular Sciences, Critical Care and Journal of Thoracic Oncology.

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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