G Riccabona

165 total papers · 1.5k total citations
66 papers, 1.1k citations indexed

About

G Riccabona is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, G Riccabona has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Epidemiology. Recurrent topics in G Riccabona's work include Radiopharmaceutical Chemistry and Applications (12 papers), Thyroid Cancer Diagnosis and Treatment (11 papers) and Medical Imaging Techniques and Applications (8 papers). G Riccabona is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (12 papers), Thyroid Cancer Diagnosis and Treatment (11 papers) and Medical Imaging Techniques and Applications (8 papers). G Riccabona collaborates with scholars based in Austria, Germany and United Kingdom. G Riccabona's co-authors include Eveline Donnemiller, Clemens Decristoforo, Roy Moncayo, Gregor K. Wenning, Stephen J. Mather, Witold Cholewiński, Christoph Scherfler, Werner Poewe, Claudia Bacher-Stier and Christian Brenneis and has published in prestigious journals such as New England Journal of Medicine, NeuroImage and Journal of Pharmaceutical Sciences.

In The Last Decade

G Riccabona

61 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G Riccabona	341	300	281	221	173	66	1.1k
Joel Dunn	455 1.3×	87 0.3×	213 0.8×	167 0.8×	171 1.0×	62	1.4k
Dimitrios Oikonomou	198 0.6×	195 0.7×	161 0.6×	260 1.2×	102 0.6×	60	1.2k
G. Ferlin	350 1.0×	219 0.7×	266 0.9×	69 0.3×	267 1.5×	53	1.2k
D. Ryan Ormond	172 0.5×	301 1.0×	237 0.8×	58 0.3×	161 0.9×	78	1.3k
Wendy A. Waddington	300 0.9×	140 0.5×	172 0.6×	69 0.3×	314 1.8×	45	1.3k
K Hirakawa	130 0.4×	221 0.7×	517 1.8×	283 1.3×	91 0.5×	32	1.3k
Jianguo Xu	115 0.3×	255 0.8×	267 1.0×	114 0.5×	135 0.8×	103	1.5k
Shigeki Nagamachi	580 1.7×	157 0.5×	198 0.7×	123 0.6×	164 0.9×	108	1.4k
Joon‐Kee Yoon	515 1.5×	128 0.4×	159 0.6×	114 0.5×	192 1.1×	109	1.4k
Georg Zettinig	265 0.8×	142 0.5×	137 0.5×	683 3.1×	187 1.1×	52	1.4k

Countries citing papers authored by G Riccabona

Since Specialization

Citations

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

Fields of papers citing papers by G Riccabona

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Riccabona

This figure shows the co-authorship network connecting the top 25 collaborators of G Riccabona. A scholar is included among the top collaborators of G Riccabona based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G Riccabona. G Riccabona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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