José Boán

698 total citations
9 papers, 524 citations indexed

About

José Boán is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, José Boán has authored 9 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Surgery. Recurrent topics in José Boán's work include Virus-based gene therapy research (2 papers), Medical Imaging Techniques and Applications (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). José Boán is often cited by papers focused on Virus-based gene therapy research (2 papers), Medical Imaging Techniques and Applications (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). José Boán collaborates with scholars based in Spain, United Kingdom and United States. José Boán's co-authors include Jesús Prìeto, Bruno Sangro, J Richter, Guillermo Mazzolini, Iván Peñuelas, Alberto Benito, Jorge Quiroga, Cheng Qian, Juan Ruiz and Josep M. Martí‐Climent and has published in prestigious journals such as Gastroenterology, International Journal of Radiation Oncology*Biology*Physics and Cancer Gene Therapy.

In The Last Decade

José Boán

8 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Boán Spain 7 182 173 170 104 96 9 524
Katsuyoshi Furumoto Japan 11 69 0.4× 267 1.5× 50 0.3× 52 0.5× 24 0.3× 24 755
Rebecca Waitz United States 11 56 0.3× 140 0.8× 39 0.2× 56 0.5× 64 0.7× 22 1.1k
Esperanza Feijoó Spain 12 78 0.4× 214 1.2× 47 0.3× 63 0.6× 17 0.2× 19 653
RE Hawkins United Kingdom 14 226 1.2× 373 2.2× 17 0.1× 31 0.3× 220 2.3× 29 700
Elixabet Bolaños Spain 19 146 0.8× 290 1.7× 25 0.1× 59 0.6× 80 0.8× 33 1.4k
Lorenzo F. Fanchi Netherlands 11 49 0.3× 222 1.3× 38 0.2× 65 0.6× 38 0.4× 17 1.1k
Renée M. Overmeer Netherlands 8 85 0.5× 346 2.0× 21 0.1× 254 2.4× 25 0.3× 8 565
Xiaotao Jiang China 11 35 0.2× 127 0.7× 177 1.0× 176 1.7× 23 0.2× 16 579
Huajun Jin China 15 171 0.9× 321 1.9× 31 0.2× 34 0.3× 17 0.2× 27 731
Lazar Vujanović United States 19 68 0.4× 318 1.8× 24 0.1× 57 0.5× 31 0.3× 39 1.1k

Countries citing papers authored by José Boán

Since Specialization
Citations

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

Fields of papers citing papers by José Boán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Boán

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

All Works

9 of 9 papers shown
1.
Sangro, Bruno, Guillermo Mazzolini, Juan Ruiz, et al.. (2010). A phase I clinical trial of thymidine kinase-based gene therapy in advanced hepatocellular carcinoma. Cancer Gene Therapy. 17(12). 837–843. 95 indexed citations
2.
García‐Velloso, María José, et al.. (2009). Clinical value of positron emission tomography with F-18-FDG in the follow up of patients with cancer of the ovary. Anales del Sistema Sanitario de Navarra. 25(1). 21–29.
3.
Boán, José, et al.. (2007). Incidental Findings in Negative Sentinel Lymph Nodes of Patients With Malignant Melanoma: Report of Three Cases. American Journal of Dermatopathology. 29(1). 104–105. 2 indexed citations
4.
Sangro, Bruno, José Ignacio Bilbao, José Boán, et al.. (2006). Radioembolization using 90Y-resin microspheres for patients with advanced hepatocellular carcinoma. International Journal of Radiation Oncology*Biology*Physics. 66(3). 792–800. 167 indexed citations
5.
Peñuelas, Iván, Guillermo Mazzolini, José Boán, et al.. (2005). Positron Emission Tomography Imaging of Adenoviral-Mediated Transgene Expression in Liver Cancer Patients. Gastroenterology. 128(7). 1787–1795. 167 indexed citations
6.
Martí‐Climent, Josep M., et al.. (2005). Tomografía por emisión de positrones con un equipo PET/TAC. Revista Española de Medicina Nuclear. 24(1). 60–76. 13 indexed citations
7.
Panizo, Carlos, Maurizio Bendandi, Mercedes Rodrı́guez-Calvillo, et al.. (2004). Positron Emission Tomography Using 18F-Fluorodeoxyglucose for the Evaluation of Residual Hodgkin's Disease Mediastinal Masses. Leukemia & lymphoma. 45(9). 1829–1833. 33 indexed citations
8.
Peñuelas, Iván, José Boán, Josep M. Martí‐Climent, et al.. (2004). Positron emission tomography and gene therapy: basic concepts and experimental approaches for gene expression imaging. Molecular Imaging and Biology. 6(4). 225–238. 25 indexed citations
9.
Cortés, Javier, J. Rodríguez, María José García‐Velloso, et al.. (2003). [ 18 F]-FDG PET and Localized Fibrous Mesothelioma. Lung. 181(1). 49–54. 22 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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