José Belda-Sanchís

596 total citations
17 papers, 352 citations indexed

About

José Belda-Sanchís is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, José Belda-Sanchís has authored 17 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 8 papers in Surgery and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in José Belda-Sanchís's work include Lung Cancer Diagnosis and Treatment (10 papers), Lung Cancer Treatments and Mutations (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). José Belda-Sanchís is often cited by papers focused on Lung Cancer Diagnosis and Treatment (10 papers), Lung Cancer Treatments and Mutations (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). José Belda-Sanchís collaborates with scholars based in Spain, United Kingdom and Japan. José Belda-Sanchís's co-authors include Mireia Serra-Mitjans, Ramón Rami–Porta, Sergi Call, Carme Obiols, Jeroen Hendriks, Paul Van Schil, Michèle De Waele, Patrick Lauwers, Álvaro Taus and Lara Pijuán and has published in prestigious journals such as Cochrane Database of Systematic Reviews, The Annals of Thoracic Surgery and European Journal of Cardio-Thoracic Surgery.

In The Last Decade

José Belda-Sanchís

16 papers receiving 345 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 Belda-Sanchís Spain 9 306 104 65 55 38 17 352
H. Wertzel Germany 10 187 0.6× 45 0.4× 110 1.7× 11 0.2× 35 0.9× 18 280
Norifumi Tsubokawa Japan 10 383 1.3× 87 0.8× 118 1.8× 16 0.3× 88 2.3× 50 454
Masataro Hayashi Japan 11 350 1.1× 133 1.3× 55 0.8× 26 0.5× 46 1.2× 48 409
W Schreiner Germany 11 304 1.0× 178 1.7× 26 0.4× 23 0.4× 61 1.6× 45 405
M Decamp United States 8 251 0.8× 211 2.0× 18 0.3× 34 0.6× 55 1.4× 20 343
Mădălina Grigoroiu France 11 282 0.9× 104 1.0× 44 0.7× 14 0.3× 53 1.4× 48 337
Ko-Pen Wang United States 9 180 0.6× 111 1.1× 65 1.0× 23 0.4× 20 0.5× 18 275
Francisco Rivas Spain 9 156 0.5× 51 0.5× 14 0.2× 18 0.3× 40 1.1× 35 271
Danjouma Cheufou Germany 10 229 0.7× 73 0.7× 37 0.6× 13 0.2× 72 1.9× 23 295
Yasuo Hashizume Japan 9 198 0.6× 184 1.8× 49 0.8× 16 0.3× 70 1.8× 57 378

Countries citing papers authored by José Belda-Sanchís

Since Specialization
Citations

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

Fields of papers citing papers by José Belda-Sanchís

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Belda-Sanchís

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

All Works

17 of 17 papers shown
1.
Pangua, Cristina, Jacobo Rogado, José Belda-Sanchís, et al.. (2022). New perspectives in the management of small cell lung cancer. World Journal of Clinical Oncology. 13(6). 429–447. 2 indexed citations
2.
Farré, Núria, et al.. (2021). The current role of surgery and SBRT in early stage of small cell lung cancer. Journal of Clinical and Translational Research. 7(1). 34–48. 6 indexed citations
3.
Rodríguez-Fuster, Alberto, et al.. (2020). Rotura traqueal yatrogénica en el contexto de la actual infección por COVID-19. A propósito de 2 casos. Archivos de Bronconeumología. 56(10). 670–671.
4.
Ito, Masaoki, Jordi Codony‐Servat, Ana Giménez‐Capitán, et al.. (2020). Src-Homology 2 Domain-Containing Phosphatase 2 in Resected EGFR Mutation-Positive Lung Adenocarcinoma. JTO Clinical and Research Reports. 1(4). 100084–100084. 2 indexed citations
5.
Rodríguez-Fuster, Alberto, et al.. (2020). Tracheal trauma in the context of the current infection by COVID-19. About 2 cases. Archivos de Bronconeumología. 56(10). 670–671. 1 indexed citations
6.
Belda-Sanchís, José, et al.. (2018). FDG PET-CT SUVmax and IASLC/ATS/ERS histologic classification: a new profile of lung adenocarcinoma with prognostic value.. PubMed. 8(2). 100–109. 29 indexed citations
7.
Call, Sergi, et al.. (2016). Video-Assisted Mediastinoscopic Lymphadenectomy for Staging Non-Small Cell Lung Cancer. The Annals of Thoracic Surgery. 101(4). 1326–1333. 28 indexed citations
8.
Call, Sergi, Ramón Rami–Porta, Raúl Embún Flor, et al.. (2015). Impact of inappropriate lymphadenectomy on lung metastasectomy for patients with metastatic colorectal cancer. Surgery Today. 46(4). 471–478. 16 indexed citations
9.
Taus, Álvaro, Rafael Aguiló, Víctor Curull, et al.. (2014). Impact of 18F-FDG PET/CT on the Treatment of Patients With Non-Small Cell Lung Cancer. Archivos de Bronconeumología. 50(3). 99–104. 8 indexed citations
10.
Rami–Porta, Ramón, et al.. (2013). Tension pneumocephalus: a rare complication after resection of a neurogenic tumour by thoracoscopic surgery. European Journal of Cardio-Thoracic Surgery. 46(1). 145–145. 2 indexed citations
11.
Obiols, Carme, et al.. (2013). Survival of Patients With Unsuspected pN2 Non-Small Cell Lung Cancer After an Accurate Preoperative Mediastinal Staging. The Annals of Thoracic Surgery. 97(3). 957–964. 30 indexed citations
12.
Taus, Álvaro, Rafael Aguiló, Víctor Curull, et al.. (2013). Impacto del 18F-FDG PET/TC en el abordaje terapéutico del cáncer de pulmón no microcítico. Archivos de Bronconeumología. 50(3). 99–104. 20 indexed citations
13.
Belda-Sanchís, José, et al.. (2010). Surgical sealant for preventing air leaks after pulmonary resections in patients with lung cancer. Cochrane Database of Systematic Reviews. CD003051–CD003051. 103 indexed citations
14.
Call, Sergi, Ramón Rami–Porta, Carme Obiols, et al.. (2010). Repeat mediastinoscopy in all its indications: experience with 96 patients and 101 procedures. European Journal of Cardio-Thoracic Surgery. 39(6). 1022–1027. 28 indexed citations
15.
Waele, Michèle De, Mireia Serra-Mitjans, Jeroen Hendriks, et al.. (2008). Accuracy and survival of repeat mediastinoscopy after induction therapy for non-small cell lung cancer in a combined series of 104 patients☆. European Journal of Cardio-Thoracic Surgery. 33(5). 824–828. 47 indexed citations
16.
Rami–Porta, Ramón, et al.. (2008). Mediastinoscopic Injuries to the Right Main Bronchus and Their Mediastinoscopic Repair. Journal of Bronchology. 15(3). 191–193. 2 indexed citations
17.
Serra-Mitjans, Mireia & José Belda-Sanchís. (2005). Surgical sealant for preventing air leaks after pulmonary resections in patients with lung cancer. Cochrane Database of Systematic Reviews. CD003051–CD003051. 28 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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