Iván Peñuelas

129 papers receiving 4.2k citations

Iván Peñuelas's Hit Papers

EANM procedure guidelines for brain PET imaging using [18F]FDG, version 3 2021 · 156 citations
1560+1+3Years since publication50100150

Peers

Iván Peñuelas
Comparison fields: 5 of 151
  • Pharmaceutical Science 344
  • Radiology, Nuclear Medicine and Imaging 683
  • Genetics 323
  • Biomaterials 385
  • Neurology 319
Replace Yoshihito Honda with:
Yoshihito Honda Japan
Hu Li United States
Shanshan Lu China
Kathrin Geiger Germany
Michael J. Caplan United States
R. Lee Mosley United States
Michael Zhang United States
Graeme F. Woodworth United States
Bakhos A. Tannous United States
Zhe Wang China
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Countries citing papers authored by Iván Peñuelas

Since Specialization
Citations

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

Fields of papers citing papers by Iván Peñuelas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002180
2 2005168
3 2008157
4
EANM procedure guidelines for brain PET imaging using [18F]FDG, version 3
Hit paper breakdown →
2021156
5 2012152
6 2018140
7 2011114
8 2003107
9 2010102
10 2014100
11 199997
12 201095
13 200992
14 200590
15 201288
16 201877
17 201574
18 201573
19 201069
20 201065

About Iván Peñuelas

Iván Peñuelas is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pharmaceutical Science, Oncology and Neurology, having authored 130 papers that have together received 4.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (27 papers), Radiopharmaceutical Chemistry and Applications (18 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Advanced Drug Delivery Systems (10 papers), Neurological disorders and treatments (9 papers), Virus-based gene therapy research (8 papers), Immunotherapy and Immune Responses (7 papers) and Nanoparticle-Based Drug Delivery (7 papers). The work is most often cited by research in Pharmaceutical Science (344 citations), Radiology, Nuclear Medicine and Imaging (683 citations), Genetics (323 citations), Biomaterials (385 citations) and Neurology (319 citations). Iván Peñuelas has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Josep M. Martí‐Climent, Gemma Quincoces, Juan M. Irache, J Richter, María Collantes, Javier Arbizu, Elena Prieto, Jesús Prìeto, Carlos J. González-Navarro and María José García‐Velloso. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Neurobiology of Disease, Molecular Imaging and Biology, Journal of Controlled Release and International Journal of Pharmaceutics.

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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