G. Aragón

17 papers receiving 488 citations

Peers

G. Aragón
Comparison fields: 5 of 51
  • Otorhinolaryngology 168
  • Ophthalmology 46
  • Oncology 116
  • Rheumatology 53
  • Pulmonary and Respiratory Medicine 75
Replace Stephen Kleid with:
Stephen Kleid Australia
P.P. Bapsy India
Navin Mani United Kingdom
Ezra Hahn Canada
Masamune Takeda Japan
Stanford Cade United Kingdom
Jean-Marie Deneufbourg Belgium
A. Labib France
C.H. Paine United Kingdom
Kerry Thomas United States
G. Aragón relative to Stephen Kleid Australia Stephen Kleid's profile →
Citations per field
00.5×5.8×
Stephen Kleid · 1×
Citations per year

Countries citing papers authored by G. Aragón

Since Specialization
Citations

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

Fields of papers citing papers by G. Aragón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1992180
2 199373
3 199951
4 199036
5 200034
6 199431
7 198317
8
[Multicenter double-blind clinical trial comparing sucralfate vs placebo in the prevention of diarrhea secondary to pelvic irradiation].
199914
9 199512
10 198311
11 199710
12 19949
13
[Extramedullary IgD lambda plasmacytoma mimicking a pituitary chromophobe adenoma].
19839
14 19956
15 19965
16 19951
17
Subglottic epidermoid carcinoma: Report of ten cases and therapeutical considerations
19921

About G. Aragón

G. Aragón is a scholar working on Surgery, Otorhinolaryngology, Epidemiology, Genetics and Pathology and Forensic Medicine, having authored 17 papers that have together received 500 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (4 papers), Ocular Oncology and Treatments (3 papers), Glioma Diagnosis and Treatment (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers), Meningioma and schwannoma management (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Otorhinolaryngology (168 citations), Ophthalmology (46 citations), Oncology (116 citations), Rheumatology (53 citations) and Pulmonary and Respiratory Medicine (75 citations). G. Aragón has collaborated with scholars based in Spain and Peru. Frequent co-authors include Alejandro de la Torre, L. Cerezo, Isabel Millán, C.A. Regueiro, Rosa Magallón-Botaya, Jesús Romero, Francisco Valcárcel, Higinia R. Cárdenes, Antonio La Torre and Juan Antonio Vargas. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, European Journal of Cancer, Radiotherapy and Oncology, Acta Oncologica and The Journal of Laryngology & Otology.

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.

Explore authors with similar magnitude of impact