Javier Añon

447 citations
19 papers · 348 · h-index 7

Impact in

Papers in

Javier Añon

16 papers receiving 343 citations

Peers

Javier Añon
Comparison fields: 5 of 41
  • Radiology, Nuclear Medicine and Imaging 101
  • Neurology 64
  • Biomedical Engineering 172
  • Pulmonary and Respiratory Medicine 107
  • Genetics 19
Replace Hitoshi Aiyama with:
Hitoshi Aiyama Japan
John Lowery United States
Kristofer Ramina Germany
Masani Nonaka Japan
Mauricio Martínez-Moreno Austria
Astrid Jilch Switzerland
Makoto Isozaki Japan
Joseph Y. Young United States
Jürgen Eggers Germany
Takumi Yoneyama Japan
Javier Añon relative to Hitoshi Aiyama Japan Hitoshi Aiyama's profile →
Citations per field
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Hitoshi Aiyama · 1×
Citations per year

Countries citing papers authored by Javier Añon

Since Specialization
Citations

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

Fields of papers citing papers by Javier Añon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2014195
2 201846
3 201828
4 202017
5 201810
6 20159
7 20179
8 20196
9 20196
10 20215
11 20225
12 20154
13 20213
14 20222
15 20202
16 20211
17 20240
18 20220
19 20190

About Javier Añon

Javier Añon is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 348 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (8 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Ultrasound Imaging and Elastography (1 paper), Advanced Radiotherapy Techniques (1 paper) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (101 citations), Neurology (64 citations), Biomedical Engineering (172 citations), Pulmonary and Respiratory Medicine (107 citations) and Genetics (19 citations). Javier Añon has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include Luca Remonda, Javier Fandino, Daniel Coluccia, Lucia Schwyzer, Beat Werner, Ruth Tuura, Ernst Martin, Michael Diepers, Philipp Gruber and Jatta Berberat. Their work appears in journals such as World Neurosurgery, Acta Neurochirurgica, Journal of Therapeutic Ultrasound, Journal of NeuroInterventional Surgery and Clinical Neuroradiology.

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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