Daniel Azorín

33 papers receiving 642 citations

Daniel Azorín's Hit Papers

Characterization of single neurons reprogrammed by pancreatic cancer 2025 · 72 citations
720Years since publication204060

Peers

Daniel Azorín
Comparison fields: 5 of 67
  • Dermatology 117
  • Pathology and Forensic Medicine 184
  • Genetics 76
  • Rheumatology 103
  • Oncology 151
Replace Edmund Cheesman with:
Edmund Cheesman United Kingdom
Noriko Kato Japan
Naoko Ishiguro Japan
Christian Herens Belgium
Sylvia Höller Germany
Shuji Momose Japan
Shin Kwang Khang South Korea
Ana Pérez‐Vallés Spain
Olga Slater United Kingdom
Jean Marc Dumollard France
Daniel Azorín relative to Edmund Cheesman United Kingdom Edmund Cheesman's profile →
Citations per field
00.5×2×2.9×
Edmund Cheesman · 1×
Citations per year

Countries citing papers authored by Daniel Azorín

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Azorín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201999
2
Characterization of single neurons reprogrammed by pancreatic cancer
Hit paper breakdown →
202572
3 200762
4 201661
5 200642
6 201133
7 200430
8 200127
9 201627
10 200522
11 201119
12 200519
13 200918
14 201614
15 200814
16 200313
17 200512
18 200312
19 201411
20 200311

About Daniel Azorín

Daniel Azorín is a scholar working on Dermatology, Rheumatology, Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 668 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (6 papers), Soft tissue tumor case studies (4 papers), Cancer and Skin Lesions (4 papers), Bone Tumor Diagnosis and Treatments (4 papers), Lymphoma Diagnosis and Treatment (3 papers), RNA modifications and cancer (2 papers), Histiocytic Disorders and Treatments (2 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Dermatology (117 citations), Pathology and Forensic Medicine (184 citations), Genetics (76 citations), Rheumatology (103 citations) and Oncology (151 citations). Daniel Azorín has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Antonio Torrelo, José Luis Rodríguez‐­Peralto, Isabel Colmenero, Javier Salamanca, Claudio Ballestı́n, Inmaculada de Prada, Javier Alonso, Angela Hernández‐Martín, Isabel Colmenero and José Francisco Suárez. Their work appears in journals such as Journal of Cutaneous Pathology, Pediatric Dermatology, JDDG Journal der Deutschen Dermatologischen Gesellschaft, Journal of the American Academy of Dermatology and Journal of the European Academy of Dermatology and Venereology.

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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