Sergio Solorio

935 total citations
59 papers, 485 citations indexed

About

Sergio Solorio is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sergio Solorio has authored 59 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 17 papers in Cardiology and Cardiovascular Medicine and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sergio Solorio's work include Congenital Heart Disease Studies (9 papers), Retinal Imaging and Analysis (8 papers) and Coronary Artery Anomalies (7 papers). Sergio Solorio is often cited by papers focused on Congenital Heart Disease Studies (9 papers), Retinal Imaging and Analysis (8 papers) and Coronary Artery Anomalies (7 papers). Sergio Solorio collaborates with scholars based in Mexico, Chile and Spain. Sergio Solorio's co-authors include Martha Alicia Hernández-Gonzalez, Ivan Cruz‐Aceves, Arturo Hernández-Aguirre, Blanca Murillo-Ortíz, Ma. Eugenia Garay‐Sevilla, E Baduí, Juan Manuel Malacara, Diego Arenas‐Aranda, Joel Ramírez‐Emiliano and Juan Gabriel Avina‐Cervantes and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nephrology Dialysis Transplantation.

In The Last Decade

Sergio Solorio

48 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Solorio Mexico 13 111 101 90 83 79 59 485
John D. Bukowy United States 12 51 0.5× 127 1.3× 82 0.9× 28 0.3× 18 0.2× 21 528
Qiong Yang China 11 64 0.6× 77 0.8× 49 0.5× 30 0.4× 64 0.8× 23 423
Michael H. Brent Canada 21 85 0.8× 415 4.1× 75 0.8× 95 1.1× 147 1.9× 81 1.0k
Casper Nielsen United Kingdom 10 147 1.3× 107 1.1× 29 0.3× 73 0.9× 35 0.4× 17 724
Tim Frenzel Netherlands 12 39 0.4× 35 0.3× 50 0.6× 47 0.6× 130 1.6× 29 735
Marcello Panagia United States 14 257 2.3× 96 1.0× 334 3.7× 82 1.0× 62 0.8× 24 721
D. Harry United Kingdom 9 32 0.3× 31 0.3× 53 0.6× 68 0.8× 151 1.9× 14 550
Mehmet Ali Kobat Türkiye 12 151 1.4× 62 0.6× 148 1.6× 81 1.0× 76 1.0× 44 558
Riswana Banu Singapore 8 25 0.2× 381 3.8× 67 0.7× 21 0.3× 61 0.8× 10 720
S. Pavlović Serbia 18 54 0.5× 76 0.8× 295 3.3× 92 1.1× 47 0.6× 76 817

Countries citing papers authored by Sergio Solorio

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Solorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Solorio

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Solorio. A scholar is included among the top collaborators of Sergio Solorio 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 Sergio Solorio. Sergio Solorio 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.
Cruz‐Aceves, Ivan, Arturo Hernández-Aguirre, Ernesto Moya-Albor, et al.. (2024). High-Dimensional Feature Selection for Automatic Classification of Coronary Stenosis Using an Evolutionary Algorithm. Diagnostics. 14(3). 268–268. 3 indexed citations
2.
Cruz‐Aceves, Ivan, et al.. (2024). Improving Automatic Coronary Stenosis Classification Using a Hybrid Metaheuristic with Diversity Control. Diagnostics. 14(21). 2372–2372. 2 indexed citations
3.
Chalopin, Claire, et al.. (2023). Automatic Classification of Coronary Stenosis Using Feature Selection and a Hybrid Evolutionary Algorithm. Axioms. 12(5). 462–462. 2 indexed citations
4.
Guryev, Igor V., et al.. (2021). Automatic Feature Selection for Stenosis Detection in X-ray Coronary Angiograms. Mathematics. 9(19). 2471–2471. 8 indexed citations
5.
Luévano‐Contreras, Claudia, Sergio Solorio, Russell Caccavello, et al.. (2019). Soluble Receptor for Advanced Glycation End Products and Its Correlation with Vascular Damage in Adolescents with Obesity. Hormone Research in Paediatrics. 92(1). 28–35. 19 indexed citations
6.
Cruz‐Aceves, Ivan, et al.. (2016). Segmentation of Coronary Angiograms Using Gabor Filters and Boltzmann Univariate Marginal Distribution Algorithm. Computational Intelligence and Neuroscience. 2016. 1–9. 10 indexed citations
7.
Murillo-Ortíz, Blanca, et al.. (2016). Impact of Oxidative Stress in Premature Aging and Iron Overload in Hemodialysis Patients. Oxidative Medicine and Cellular Longevity. 2016(1). 1578235–1578235. 20 indexed citations
8.
Zimran, Ari, Pilar Giraldo, Hanna Rosenbaum, et al.. (2016). Long-term efficacy and safety results of taliglucerase alfa through 5 years in adult treatment-naïve patients with Gaucher disease. Blood Cells Molecules and Diseases. 78. 14–21. 22 indexed citations
9.
Uribarri, Jaime, et al.. (2016). The AGE-RAGE Axis and Its Relationship to Markers of Cardiovascular Disease in Newly Diagnosed Diabetic Patients. PLoS ONE. 11(7). e0159175–e0159175. 33 indexed citations
10.
Roca-Chiapas, José María De la, et al.. (2013). Association between depression and higher glucose levels in middle-aged Mexican patients with diabetes.. PubMed. 65(3). 209–13. 26 indexed citations
11.
Córdova–Fraga, Teodoro, et al.. (2012). Biomagnetic Validation to Skin Level for Blood Pressure Curves and Venous. Open Journal of Applied Sciences. 2(3). 128–134. 1 indexed citations
12.
Murillo-Ortíz, Blanca, et al.. (2009). Pentalogía de Cantrell: actualización y nuevas perspectivas. 16(6). 635–639.
13.
Solorio, Sergio, et al.. (2007). [Coronary artery disease in Mexican women].. PubMed. 77(3). 226–31. 3 indexed citations
14.
Hernández-Gonzalez, Martha Alicia, et al.. (2007). Resonancia magnética cardiovascular en la cuantificación de los cortocircuitos de izquierda a derecha en los defectos septales cardiacos con hipertensión arterial pulmonar. Revista Española de Cardiología. 60(9). 907–913. 2 indexed citations
15.
Muñoz‐Castellanos, Luis, et al.. (2003). Fístulas arteriovenosas coronarias múltiples: ¿Azar o predeterminación?. Revista Portuguesa de Pneumologia. 73(1). 31–37. 1 indexed citations
16.
Hernández-Gonzalez, Martha Alicia, et al.. (2002). Stent y redilatación con globo del conducto arterioso en ventrículo único con atresia pulmonar: Descripción de un caso. Revista Portuguesa de Pneumologia. 72(2). 145–148.
17.
Solorio, Sergio, et al.. (2002). Complicaciones tardías después de la reparación de la tetralogía de Fallot. Informe de un caso. 13(2). 62–66.
18.
Solorio, Sergio, et al.. (1996). Distribución de grasa corporal como factor de riesgo coronario. Revista M�dica del Instituto Mexicano del Seguro Social. 34(6). 445–448. 4 indexed citations
19.
Ayala, Fabio, et al.. (1996). AV大力士—评安桥TX—DS787 AV功放. PubMed. 27(2). 28–32. 1 indexed citations
20.
Solorio, Sergio, et al.. (1994). [Thrombolysis in mechanical prosthetic valve thrombosis. Its management with streptokinase].. PubMed. 64(1). 51–5. 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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