Anna Ureña

484 total citations
26 papers, 270 citations indexed

About

Anna Ureña is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Anna Ureña has authored 26 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 7 papers in Surgery and 6 papers in Oncology. Recurrent topics in Anna Ureña's work include Lung Cancer Diagnosis and Treatment (6 papers), Pleural and Pulmonary Diseases (4 papers) and Sympathectomy and Hyperhidrosis Treatments (4 papers). Anna Ureña is often cited by papers focused on Lung Cancer Diagnosis and Treatment (6 papers), Pleural and Pulmonary Diseases (4 papers) and Sympathectomy and Hyperhidrosis Treatments (4 papers). Anna Ureña collaborates with scholars based in Spain, Colombia and France. Anna Ureña's co-authors include Francisco Rivas, Iván Macı́a, Ignacio Escobar, Ricard Ramos, R. Villalonga, Juan Moya, Cristina Masuet‐Aumatell, Valerio Perna, Ernest Nadal and Mădălina Grigoroiu and has published in prestigious journals such as Annals of Surgical Oncology, Surgical Endoscopy and Cancers.

In The Last Decade

Anna Ureña

23 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Ureña Spain 9 164 106 77 47 42 26 270
Francisco Rivas Spain 9 156 1.0× 112 1.1× 77 1.0× 51 1.1× 40 1.0× 35 271
Kil Dong Kim South Korea 12 224 1.4× 29 0.3× 10 0.1× 160 3.4× 56 1.3× 23 479
Du–Young Kang South Korea 8 85 0.5× 16 0.2× 6 0.1× 172 3.7× 83 2.0× 25 273
J. Pastor Germany 8 166 1.0× 20 0.2× 4 0.1× 84 1.8× 26 0.6× 21 263
Richard Oakley United Kingdom 6 68 0.4× 13 0.1× 8 0.1× 86 1.8× 89 2.1× 9 376
Toshikatsu Nitta Japan 9 191 1.2× 25 0.2× 6 0.1× 150 3.2× 90 2.1× 55 305
André Spiguel United States 10 129 0.8× 41 0.4× 9 0.1× 186 4.0× 63 1.5× 29 283
Djordjije Šaranović Serbia 8 170 1.0× 52 0.5× 4 0.1× 107 2.3× 48 1.1× 19 287
Naoki Ozeki Japan 12 182 1.1× 11 0.1× 6 0.1× 81 1.7× 81 1.9× 55 377
Benjamin Taylor United States 12 196 1.2× 50 0.5× 4 0.1× 197 4.2× 78 1.9× 32 380

Countries citing papers authored by Anna Ureña

Since Specialization
Citations

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

Fields of papers citing papers by Anna Ureña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Ureña

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Ureña. A scholar is included among the top collaborators of Anna Ureña 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 Anna Ureña. Anna Ureña 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.
Ureña, Anna, et al.. (2025). 20-Year Efficacy of Endoscopic Thoracic Sympathectomy for Primary Hyperhidrosis: A Cohort Study. Journal of Clinical Medicine. 14(14). 4831–4831.
3.
Ureña, Anna, et al.. (2023). A Comparison of Total Thoracoscopic and Robotic Surgery for Lung Cancer Lymphadenectomy. Cancers. 15(13). 3442–3442. 8 indexed citations
4.
Ureña, Anna, Iván Macı́a, Francisco Rivas, et al.. (2023). The Influence of Preoperative Nutritional and Systemic Inflammatory Status on Perioperative Outcomes following Da Vinci Robot-Assisted Thoracic Lung Cancer Surgery. Journal of Clinical Medicine. 12(2). 554–554. 3 indexed citations
6.
Rivas, Francisco, Iván Macı́a, Anna Ureña, et al.. (2022). Efficacy of hyperthermia pleurodesis: A comparative experimental study on serous membrane of abdominopelvic and thoracic cavities of rats. Cirugía Española (English Edition). 100(4). 209–214. 1 indexed citations
7.
Ramos, Ricard, Iván Macı́a, Arturo Navarro-Martín, et al.. (2021). Prognostic value of the preoperative lymphocyte-to-monocyte ratio for survival after lung cancer surgery. BMC Pulmonary Medicine. 21(1). 75–75. 14 indexed citations
8.
Rivas, Francisco, Iván Macı́a, Anna Ureña, et al.. (2021). Efficacy of hyperthermia pleurodesis: A comparative experimental study on serous membrane of abdominopelvic and thoracic cavities of rats. Cirugía Española. 100(4). 209–214. 1 indexed citations
9.
Köhler, Stephan, et al.. (2020). Innovative ambulante Modelle. Der Nervenarzt. 91(11). 1003–1016. 2 indexed citations
10.
Martínez‐Iniesta, María, M. Hernández, Ania Alay, et al.. (2019). MA23.02 CDK4/6 Inhibitors Show Antitumor Effects in Preclinical Models of Malignant Pleural Mesothelioma. Journal of Thoracic Oncology. 14(10). S343–S343. 2 indexed citations
11.
Ramos, Ricard, Ernest Nadal, Inmaculada Peiró, et al.. (2018). Preoperative nutritional status assessment predicts postoperative outcomes in patients with surgically resected non-small cell lung cancer. European Journal of Surgical Oncology. 44(9). 1419–1424. 41 indexed citations
12.
Macı́a, Iván, Juan Moya, Gemma Aiza, et al.. (2017). P1.05-004 Surfactant Protein C is a Prognostic Marker in Resected Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 12(1). S615–S615. 1 indexed citations
13.
Macı́a, Iván, Ricard Ramos, Juan Moya, et al.. (2013). Survival of Patients with Non-Small Cell Lung Cancer According to Lymph Node Disease: Single pN1 vs Multiple pN1 vs Single Unsuspected pN2. Annals of Surgical Oncology. 20(7). 2413–2418. 9 indexed citations
14.
Grigoroiu, Mădălina, Anna Ureña, Cristina Masuet‐Aumatell, et al.. (2013). Predictive factors for complications of anatomical pulmonary segmentectomies. Interactive Cardiovascular and Thoracic Surgery. 17(5). 838–844. 32 indexed citations
15.
Rivas, Francisco, et al.. (2011). Intranodal thoracic schwannoma, an unusual type of neurogenic tumor. General Thoracic and Cardiovascular Surgery. 59(12). 819–821. 4 indexed citations
16.
Ramos, Ricard, et al.. (2011). Fibroelastoma dorsi: un tumor infrecuente e infradiagnosticado. Archivos de Bronconeumología. 47(5). 262–263. 8 indexed citations
17.
Macı́a, Iván, Juan Moya, Ricard Ramos, et al.. (2010). Hiperhidrosis primaria. Situación actual de la cirugía del simpático. Cirugía Española. 88(3). 146–151. 3 indexed citations
18.
Macı́a, Iván, et al.. (2009). Treatment of primary spontaneous pneumothorax by videothoracoscopic talc pleurodesis under local anesthesia: a review of 133 procedures. Surgical Endoscopy. 24(5). 984–987. 19 indexed citations
19.
Perna, Valerio, et al.. (2008). Survival after traumatic complete laryngotracheal transection. The American Journal of Emergency Medicine. 26(7). 837.e3–837.e4. 6 indexed citations
20.
Perna, Valerio, Francisco Rivas, Ricard Ramos, et al.. (2008). Localized (solitary) fibrous tumors of the pleura: An analysis of 15 patients. International Journal of Surgery. 6(4). 298–301. 92 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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