Luis Esteban

5.1k total citations
122 papers, 1.9k citations indexed

About

Luis Esteban is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Luis Esteban has authored 122 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Pulmonary and Respiratory Medicine, 27 papers in Molecular Biology and 16 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Luis Esteban's work include Prostate Cancer Diagnosis and Treatment (32 papers), Prostate Cancer Treatment and Research (31 papers) and Enzyme Catalysis and Immobilization (11 papers). Luis Esteban is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (32 papers), Prostate Cancer Treatment and Research (31 papers) and Enzyme Catalysis and Immobilization (11 papers). Luis Esteban collaborates with scholars based in Spain, Argentina and United States. Luis Esteban's co-authors include Alfonso Robles Medina, Pedro A. González, M. J. Jiménez, Emilio Molina, Rosa Esteban, Estrella Hita, María del Mar Muñío, Ángel Borque‐Fernando, Nieves Rodríguez‐Cousiño and Tsutomu Fujimura and has published in prestigious journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Luis Esteban

116 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Esteban Spain 24 706 283 251 176 172 122 1.9k
Yao Yu China 23 581 0.8× 72 0.3× 38 0.2× 107 0.6× 77 0.4× 84 1.7k
Mohamed A. M. Ali Egypt 22 428 0.6× 41 0.1× 34 0.1× 86 0.5× 66 0.4× 122 1.3k
Yanbo Zhang China 15 843 1.2× 77 0.3× 69 0.3× 67 0.4× 15 0.1× 32 1.8k
Sunil Arora India 28 325 0.5× 259 0.9× 22 0.1× 50 0.3× 45 0.3× 141 2.8k
Carlos Pastor‐Vargas Spain 26 407 0.6× 174 0.6× 114 0.5× 53 0.3× 6 0.0× 130 2.0k
Wenrui Wu China 28 1.5k 2.1× 171 0.6× 228 0.9× 36 0.2× 7 0.0× 75 2.7k
Mario Baldini United States 30 332 0.5× 311 1.1× 212 0.8× 370 2.1× 19 0.1× 129 3.0k
Ying‐Chi Lin Taiwan 25 506 0.7× 55 0.2× 52 0.2× 91 0.5× 5 0.0× 88 1.6k
Kazuhiro Ozawa Japan 21 369 0.5× 162 0.6× 244 1.0× 88 0.5× 5 0.0× 97 1.9k

Countries citing papers authored by Luis Esteban

Since Specialization
Citations

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

Fields of papers citing papers by Luis Esteban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Esteban

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Esteban. A scholar is included among the top collaborators of Luis Esteban 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 Luis Esteban. Luis Esteban 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.
Moróte, Juan, Ángel Borque‐Fernando, Luis Esteban, et al.. (2024). Investigating Efficient Risk-Stratified Pathways for the Early Detection of Clinically Significant Prostate Cancer. Journal of Personalized Medicine. 14(2). 130–130. 1 indexed citations
2.
Esteban, Luis, et al.. (2023). Machine Learning Algorithms Combining Slope Deceleration and Fetal Heart Rate Features to Predict Acidemia. Applied Sciences. 13(13). 7478–7478. 3 indexed citations
3.
López, F. Javier, Pedro M. Mateo, Ana C. Cebrián, et al.. (2023). A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19. Heliyon. 9(2). e13545–e13545. 1 indexed citations
4.
Borque‐Fernando, Ángel, Josep María Gaya, Luis Esteban, et al.. (2023). Epidemiology, Diagnosis and Management of Penile Cancer: Results from the Spanish National Registry of Penile Cancer. Cancers. 15(3). 616–616. 8 indexed citations
5.
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Esteban, Luis, et al.. (2022). A Stepwise Algorithm for Linearly Combining Biomarkers under Youden Index Maximization. Mathematics. 10(8). 1221–1221. 5 indexed citations
8.
Borque‐Fernando, Ángel, et al.. (2022). Testosterone Recovery after Androgen Deprivation Therapy in Prostate Cancer: Building a Predictive Model. The World Journal of Men s Health. 41(1). 129–129. 4 indexed citations
9.
Moróte, Juan, Ángel Borque‐Fernando, A. Celma, et al.. (2022). Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy. Cancers. 14(10). 2374–2374. 3 indexed citations
10.
Moróte, Juan, Ángel Borque‐Fernando, A. Celma, et al.. (2022). Multiparametric Magnetic Resonance Imaging Grades the Aggressiveness of Prostate Cancer. Cancers. 14(7). 1828–1828. 8 indexed citations
11.
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Moróte, Juan, Ángel Borque‐Fernando, A. Celma, et al.. (2022). The Barcelona Predictive Model of Clinically Significant Prostate Cancer. Cancers. 14(6). 1589–1589. 22 indexed citations
13.
Esteban, Luis, et al.. (2021). Reduced Growth in Non-Small for Gestational Age Fetuses from 35 Weeks of Gestation to Birth and Perinatal Outcomes. Fetal Diagnosis and Therapy. 48(11-12). 768–777. 4 indexed citations
14.
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Rubio‐Briones, J., et al.. (2021). Active Surveillance in Prostate Cancer: Role of Available Biomarkers in Daily Practice. International Journal of Molecular Sciences. 22(12). 6266–6266. 14 indexed citations
16.
Sanz, Gerardo, et al.. (2021). Machine Learning Algorithm to Predict Acidemia Using Electronic Fetal Monitoring Recording Parameters. Entropy. 24(1). 68–68. 10 indexed citations
17.
Mahíllo, Ignacio, et al.. (2021). Perinatal Adverse Effects in Newborns with Estimated Loss of Weight Percentile between the Third Trimester Ultrasound and Delivery. The GROWIN Study. Journal of Clinical Medicine. 10(20). 4643–4643. 1 indexed citations
18.
Borque‐Fernando, Ángel, Luis Esteban, A. Celma, et al.. (2019). How to implement magnetic resonance imaging before prostate biopsy in clinical practice: nomograms for saving biopsies. World Journal of Urology. 38(6). 1481–1491. 8 indexed citations
19.
Savirón‐Cornudella, Ricardo, et al.. (2019). Detection of Adverse Perinatal Outcomes at Term Delivery Using Ultrasound Estimated Percentile Weight at 35 Weeks of Gestation: Comparison of Five Fetal Growth Standards. Fetal Diagnosis and Therapy. 47(2). 104–114. 12 indexed citations
20.
Savirón‐Cornudella, Ricardo, et al.. (2017). Comparison of fetal weight distribution improved by paternal height by Spanish standard versus Intergrowth 21st standard. Journal of Perinatal Medicine. 46(7). 750–759. 12 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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