Pablo Cabral

936 total citations
72 papers, 729 citations indexed

About

Pablo Cabral is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Pablo Cabral has authored 72 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Pablo Cabral's work include Radiopharmaceutical Chemistry and Applications (45 papers), Monoclonal and Polyclonal Antibodies Research (23 papers) and Medical Imaging Techniques and Applications (11 papers). Pablo Cabral is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (45 papers), Monoclonal and Polyclonal Antibodies Research (23 papers) and Medical Imaging Techniques and Applications (11 papers). Pablo Cabral collaborates with scholars based in Uruguay, Brazil and United States. Pablo Cabral's co-authors include Hugo Cerecetto, Marcelo Fernández, Juan Pablo Gambini, María Fernanda García, Marcos Couto, Francesç Teixidor, Clara Viñas, Thomas P. Quinn, Mauricio Cabrera and Williams Porcal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Pablo Cabral

64 papers receiving 710 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pablo Cabral Uruguay 16 426 238 136 92 89 72 729
Quido G. de Lussanet Netherlands 12 311 0.7× 180 0.8× 38 0.3× 197 2.1× 98 1.1× 24 648
Birgit Blechert Germany 12 214 0.5× 168 0.7× 126 0.9× 30 0.3× 127 1.4× 16 667
Flor de Marı́a Ramı́rez Mexico 18 294 0.7× 134 0.6× 88 0.6× 211 2.3× 128 1.4× 40 731
Marie-Hélène Gagnon United States 13 245 0.6× 289 1.2× 122 0.9× 56 0.6× 132 1.5× 29 877
Chi Soo Kang United States 14 327 0.8× 148 0.6× 84 0.6× 117 1.3× 104 1.2× 36 649
Markus Jahn Germany 12 418 1.0× 242 1.0× 66 0.5× 138 1.5× 181 2.0× 15 1.1k
Sven H. Hausner United States 18 458 1.1× 255 1.1× 238 1.8× 76 0.8× 312 3.5× 33 966
Yesen Li China 15 230 0.5× 307 1.3× 71 0.5× 91 1.0× 171 1.9× 45 766
Shibo Qi China 12 159 0.4× 168 0.7× 44 0.3× 188 2.0× 91 1.0× 21 610
Nicolas Lepareur France 18 435 1.0× 136 0.6× 74 0.5× 124 1.3× 193 2.2× 52 952

Countries citing papers authored by Pablo Cabral

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Cabral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Cabral

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Cabral. A scholar is included among the top collaborators of Pablo Cabral 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 Pablo Cabral. Pablo Cabral 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
1.
Freire, Teresa, María Fernanda García, Marcelo Fernández, et al.. (2024). Enhanced Tumor Targeting of Radiolabeled Mouse/Human Chimeric Anti-Tn Antibody in Losartan-Treated Mice Bearing Tn-Expressing Lung Tumors. Cancer Biotherapy and Radiopharmaceuticals. 39(5). 337–348.
2.
Cerecetto, Hugo, et al.. (2024). Indocyanine green within glycosylated polymeric micelles as potential image agents to map sentinel lymph nodes and breast cancer. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1(1). 57–67. 7 indexed citations
3.
Machado, Camila Maria Longo, Camila de Godoi Carneiro, Mara de Souza Junqueira, et al.. (2023). 99mTc-HYNIC/Cy7-Fab(Bevacizumab): su empleo como agente de imagen en mieloma múltiple. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 42(1). e302–e302.
4.
Machado, Camila Maria Longo, Camila de Godoi Carneiro, Mara de Souza Junqueira, et al.. (2021). 99mTechnetium- or Cy7-Labeled Fab(Tocilizumab) as Potential Multiple Myeloma Imaging Agents. Anti-Cancer Agents in Medicinal Chemistry. 21(14). 1883–1893. 5 indexed citations
5.
6.
Fernández, Marcelo, et al.. (2021). 99mTc Stearyl 6-(benzylidenehydrazinyl) nicotinamide Liposomes as Tumor Permeability Evaluation Tracer. AAPS PharmSciTech. 22(3). 115–115. 1 indexed citations
7.
Ibarra, Manuel, et al.. (2020). Sgc8-c Aptamer as a Potential Theranostic Agent for Hemato-Oncological Malignancies. Cancer Biotherapy and Radiopharmaceuticals. 35(4). 262–270. 22 indexed citations
8.
Couto, Marcos, Mauricio Cabrera, Pablo Cabral, et al.. (2017). Small‐Molecule Kinase‐Inhibitors‐Loaded Boron Cluster as Hybrid Agents for Glioma‐Cell‐Targeting Therapy. Chemistry - A European Journal. 23(39). 9233–9238. 52 indexed citations
9.
García, María Fernanda, Marcelo Fernández, Hugo Cerecetto, et al.. (2017). 99mTc-HYNIC-Fab(Bevacizumab): potencial agente de imagen para diagnóstico de Linfoma No Hodgkin. 36(2). 1 indexed citations
10.
Cabral, Pablo & Hugo Cerecetto. (2017). Radiopharmaceuticals in Tumor Hypoxia Imaging: A Review Focused on Medicinal Chemistry Aspects. Anti-Cancer Agents in Medicinal Chemistry. 17(3). 318–332. 10 indexed citations
11.
Zamboni, Cibele B., et al.. (2015). Development of 177 Lu-DOTA-Dendrimer and Determination of Its Effect on Metal and Ion Levels in Tumor Tissue. Cancer Biotherapy and Radiopharmaceuticals. 30(10). 405–410. 8 indexed citations
12.
Fernández, Marcelo, et al.. (2014). Labeling Polyamidoamine (PAMAM) Dendrimers with Technetium-99m via Hydrazinonicotinamide (HYNIC). Current Radiopharmaceuticals. 7(2). 115–122. 9 indexed citations
13.
García, María Fernanda, Marcelo Fernández, Williams Porcal, et al.. (2013). Synthesis and Evaluation of 99mTc Chelate-conjugated Bevacizumab. Current Radiopharmaceuticals. 6(1). 12–19. 8 indexed citations
14.
García, María Fernanda, Marcelo Fernández, José A. Chabalgoity, et al.. (2013). [<sup>99m</sup>Tc(CO)<sub>3</sub>]-Radiolabeled Bevacizumab: In vitro and in vivo Evaluation in a Melanoma Model. Oncology. 84(4). 200–209. 20 indexed citations
15.
16.
Zhang, Xiuli, Marcelo Fernández, Normando Iznaga-Escobar, et al.. (2012). A Potencial Theranostic Agent for EGF-R Expression Tumors: 177Lu- DOTA-Nimotuzumab. Current Radiopharmaceuticals. 5(4). 318–324. 7 indexed citations
17.
Castellano, G., Marcelo Fernández, Eloísa Riva, et al.. (2011). [177Lu]DOTA-anti-CD20: Labeling and pre-clinical studies. Applied Radiation and Isotopes. 69(7). 924–928. 15 indexed citations
18.
Fernández, Marcelo, José A. Chabalgoity, Marı́a Moreno, et al.. (2011). Biological evaluation of glucose and deoxyglucose derivatives radiolabeled with [99mTc(CO)3(H2O)3]+ core as potential melanoma imaging agents. Bioorganic & Medicinal Chemistry Letters. 21(23). 7102–7106. 15 indexed citations
19.
Gambini, Juan Pablo, Pablo Cabral, Ómar Alonso, et al.. (2010). Evaluation of 99mTc-glucarate as a breast cancer imaging agent in a xenograft animal model. Nuclear Medicine and Biology. 38(2). 255–260. 28 indexed citations
20.
Balter, Henia, et al.. (2006). Radiolabelled DOTA-TATE: its evaluation for targeted radiotherapy.. World Journal of Nuclear Medicine. 5(3). 7. 1 indexed citations

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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