C. Ramos-Font

716 citations
35 papers · 498 · h-index 10

Impact in

Papers in

C. Ramos-Font

31 papers receiving 482 citations

Peers

C. Ramos-Font
Comparison fields: 5 of 49
  • Pulmonary and Respiratory Medicine 259
  • Oncology 193
  • Radiology, Nuclear Medicine and Imaging 155
  • Surgery 275
  • Hepatology 38
Replace Noriko Ii with:
Noriko Ii Japan
Filippo Crimì Italy
Shivani Handa United States
Adrian Wong United States
Alessandro Magli Italy
Taro Tanabe Japan
R.J. McCammon United States
Daphna Y. Spiegel United States
Dong Qu China
Hideki Marushima Japan
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Citations per field
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Citations per year

Countries citing papers authored by C. Ramos-Font

Since Specialization
Citations

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

Fields of papers citing papers by C. Ramos-Font

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Ramos-Font. 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 C. Ramos-Font. The network helps show where C. Ramos-Font may publish in the future.

Co-authors

The 20 scholars most cited alongside C. Ramos-Font, 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 C. Ramos-Font Line = papers co-authored together C. Ramos-Font 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 200674
2 200469
3 200669
4 200852
5 200947
6 201344
7 201026
8 201216
9 201113
10 201111
11 20118
12 20097
13 20107
14 20096
15 20105
16 20095
17 20094
18 20064
19 20104
20 20164

About C. Ramos-Font

C. Ramos-Font is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Pathology and Forensic Medicine, having authored 35 papers that have together received 498 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Gallbladder and Bile Duct Disorders (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Medical Imaging and Pathology Studies (5 papers), Renal cell carcinoma treatment (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (259 citations), Oncology (193 citations), Radiology, Nuclear Medicine and Imaging (155 citations), Surgery (275 citations) and Hepatology (38 citations). C. Ramos-Font has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include J.M. Llamas Elvira, Antonio Rodrı́guez-Fernández, Manuel Gómez-Río, Antonio Rodríguez Fernández, José Manuel Ramia, Román Villegas, Gary Cook, R. Sánchez Sánchez, Amelia Jiménez‐Heffernan and Jesús Villar. Their work appears in journals such as Journal of Surgical Oncology, European Journal of Nuclear Medicine and Molecular Imaging, Annals of Surgery, Journal of Nuclear Cardiology and The American Journal of Surgery.

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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