Roy Moncayo

108 papers receiving 2.6k citations

Peers

Roy Moncayo
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 638
  • Neurology 427
  • Radiology, Nuclear Medicine and Imaging 485
  • Epidemiology 616
  • Reproductive Medicine 141
Replace Seong‐Jang Kim with:
Seong‐Jang Kim South Korea
M Ferdeghini Italy
Marek Ruchała Poland
Rena Vassilopoulou‐Sellin United States
S. W. J. Lamberts Netherlands
Andrea Lania Italy
Frederick D. Grant United States
Masayuki Nakajo Japan
Ad R. Hermus Netherlands
Glen W. Sizemore United States
Roy Moncayo relative to Seong‐Jang Kim South Korea Seong‐Jang Kim's profile →
Citations per field
00.5×2.9×
Seong‐Jang Kim · 1×
Citations per year

Countries citing papers authored by Roy Moncayo

Since Specialization
Citations

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

Fields of papers citing papers by Roy Moncayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002178
2 2010167
3 2008158
4 1997135
5 2000134
6
An intrapatient comparison of 99mTc-EDDA/HYNIC-TOC with 111In-DTPA-octreotide for diagnosis of somatostatin receptor-expressing tumors.
2003123
7 200376
8 200874
9 198968
10 200368
11 199767
12 198867
13 199055
14 200354
15 199754
16 200851
17 199949
18 200348
19 200545
20 200343

About Roy Moncayo

Roy Moncayo is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Radiology, Nuclear Medicine and Imaging, Neurology and Oncology, having authored 109 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (19 papers), Thyroid Disorders and Treatments (15 papers), Medical Imaging Techniques and Applications (13 papers), Neuroblastoma Research and Treatments (11 papers), Ophthalmology and Eye Disorders (9 papers), Lung Cancer Research Studies (8 papers), Reproductive System and Pregnancy (7 papers) and Systemic Lupus Erythematosus Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (638 citations), Neurology (427 citations), Radiology, Nuclear Medicine and Imaging (485 citations), Epidemiology (616 citations) and Reproductive Medicine (141 citations). Roy Moncayo has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Helga Moncayo, Clemens Decristoforo, Eveline Donnemiller, Irene Virgolini, Michael Gabriel, John Buscombe, G Riccabona, Stephen J. Mather, Emilio Bombardieri and Sven N. Reske. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Alcoholism Clinical and Experimental Research, European Journal of Endocrinology, Nuclear Medicine Communications and Thyroid.

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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