Claudia Martinez‐Rios

22 papers receiving 266 citations

Peers

Claudia Martinez‐Rios
Comparison fields: 5 of 50
  • Surgery 110
  • Radiology, Nuclear Medicine and Imaging 81
  • Endocrinology, Diabetes and Metabolism 77
  • Biomedical Engineering 33
  • Internal Medicine 29
Replace Demosthenes D. Cokkinos with:
Demosthenes D. Cokkinos Greece
Mitsuhiro Kishino Japan
Sushma Vashisht India
Kohzoh Makita Japan
Katharina Mueller-Peltzer Germany
M. Andreu Spain
Eleni Antypa Greece
Anant Patel United Kingdom
Massimo Zeccolini Italy
Motoki Sakuraba Japan
Claudia Martinez‐Rios relative to Demosthenes D. Cokkinos Greece Demosthenes D. Cokkinos's profile →
Citations per field
00.5×4.1×
Demosthenes D. Cokkinos · 1×
Citations per year

Countries citing papers authored by Claudia Martinez‐Rios

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Martinez‐Rios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia Martinez‐Rios. 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 Claudia Martinez‐Rios. The network helps show where Claudia Martinez‐Rios may publish in the future.

Co-authorship network of co-authors of Claudia Martinez‐Rios

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Martinez‐Rios. A scholar is included among the top collaborators of Claudia Martinez‐Rios 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 Claudia Martinez‐Rios. Claudia Martinez‐Rios is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 1
5 1
6 16
7 11
8 6
9 18
10 11
11 20
12 58
13 3
14 6
15 9
16 3
17 8
18 10
19 15
20 25

About Claudia Martinez‐Rios

Claudia Martinez‐Rios is a scholar working on Internal Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 25 papers that have together received 271 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (5 papers), Radiation Dose and Imaging (4 papers) and Radiology practices and education (3 papers). The work is most often cited by research in Internal Medicine (29 citations), Critical Care and Intensive Care Medicine (24 citations) and Endocrinology, Diabetes and Metabolism (77 citations). Claudia Martinez‐Rios has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Jonathan D. Wasserman, Daniëlle C M van der Kaay, Rahim Moineddin, Alan Daneman, Edward Y. Lee, Supika Kritsaneepaiboon, David Zurakowski, Phillip M. Boiselle, Jeanne S. Chow and Keith J. Strauss. Their work appears in journals such as The Journal of Urology, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

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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2026