Fernando Alarid‐Escudero

2.1k total citations
75 papers, 1.2k citations indexed

About

Fernando Alarid‐Escudero is a scholar working on Economics and Econometrics, Oncology and Epidemiology. According to data from OpenAlex, Fernando Alarid‐Escudero has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 23 papers in Oncology and 14 papers in Epidemiology. Recurrent topics in Fernando Alarid‐Escudero's work include Health Systems, Economic Evaluations, Quality of Life (18 papers), Colorectal Cancer Screening and Detection (11 papers) and Global Cancer Incidence and Screening (8 papers). Fernando Alarid‐Escudero is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (18 papers), Colorectal Cancer Screening and Detection (11 papers) and Global Cancer Incidence and Screening (8 papers). Fernando Alarid‐Escudero collaborates with scholars based in United States, Mexico and Netherlands. Fernando Alarid‐Escudero's co-authors include Hawre Jalal, Eva A. Enns, Karen M. Kuntz, Eline Krijkamp, Petros Pechlivanoglou, Katy B. Kozhimannil, M. G. Myriam Hunink, Cori Blauer‐Peterson, Rachel R. Hardeman and Elizabeth A. Howell and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Fernando Alarid‐Escudero

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Alarid‐Escudero United States 21 276 255 249 150 145 75 1.2k
Arthur Allignol Germany 22 142 0.5× 165 0.6× 264 1.1× 358 2.4× 135 0.9× 52 2.0k
Ned Calonge United States 20 484 1.8× 218 0.9× 179 0.7× 196 1.3× 100 0.7× 55 1.8k
Gregory S. Calip United States 24 632 2.3× 204 0.8× 202 0.8× 273 1.8× 44 0.3× 175 2.1k
Richard De Abreu Lourenço Australia 20 332 1.2× 258 1.0× 185 0.7× 125 0.8× 39 0.3× 114 1.2k
Beate Jahn Austria 19 202 0.7× 177 0.7× 491 2.0× 210 1.4× 32 0.2× 75 1.5k
Matteo Franchi Italy 18 312 1.1× 140 0.5× 72 0.3× 157 1.0× 87 0.6× 92 1.1k
Amy Cantor United States 24 648 2.3× 214 0.8× 128 0.5× 271 1.8× 301 2.1× 57 2.2k
David J. Vanness United States 25 587 2.1× 302 1.2× 412 1.7× 267 1.8× 143 1.0× 83 2.3k
Elise D. Cook United States 16 366 1.3× 123 0.5× 371 1.5× 185 1.2× 51 0.4× 31 1.4k
Blanca Lumbreras Spain 20 139 0.5× 221 0.9× 77 0.3× 176 1.2× 48 0.3× 99 1.4k

Countries citing papers authored by Fernando Alarid‐Escudero

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Alarid‐Escudero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Alarid‐Escudero. 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 Fernando Alarid‐Escudero. The network helps show where Fernando Alarid‐Escudero may publish in the future.

Co-authorship network of co-authors of Fernando Alarid‐Escudero

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Alarid‐Escudero. A scholar is included among the top collaborators of Fernando Alarid‐Escudero 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 Fernando Alarid‐Escudero. Fernando Alarid‐Escudero 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.
Riaz, Fauzia, et al.. (2025). Cost and Cost-Effectiveness of Treating Human Epidermal Growth Factor Receptor 2–Low Metastatic Breast Cancer. Journal of Clinical Oncology. 43(19). 2208–2217.
2.
Kumar, Praveen, Jennifer Ruhl, Fernando Alarid‐Escudero, et al.. (2025). Long-term Trends in Bladder Cancer Incidence Using a Harmonized Staging Variable: A SEER-Based Study. Cancer Epidemiology Biomarkers & Prevention. 34(9). 1635–1643.
3.
Knudsen, Amy B., Daan Nieboer, Karen M. Kuntz, et al.. (2025). Benefits of colorectal cancer screening using fecal immunochemical testing with varying positivity thresholds by age and sex. JNCI Journal of the National Cancer Institute. 117(11). 2219–2228.
4.
Jalal, Hawre, et al.. (2025). A Fast Nonparametric Sampling Method for Time to Event in Individual-Level Simulation Models. Medical Decision Making. 45(2). 205–213. 1 indexed citations
5.
Seguin, Claudia L., Amy B. Knudsen, Pedro Nascimento de Lima, et al.. (2024). Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models. Medical Decision Making. 44(5). 543–553. 5 indexed citations
6.
Lima, Pedro Nascimento de, Amy B. Knudsen, Karen M. Kuntz, et al.. (2024). Characteristics of a cost-effective blood test for colorectal cancer screening. JNCI Journal of the National Cancer Institute. 116(10). 1612–1620. 10 indexed citations
7.
Alarid‐Escudero, Fernando, Marina E. Wolf, Ran Zhao, et al.. (2024). State-level disparities in cervical cancer prevention and outcomes in the United States: a modeling study. JNCI Journal of the National Cancer Institute. 117(4). 737–746.
8.
Lima, Pedro Nascimento de, Amy B. Knudsen, Nicholson Collier, et al.. (2024). 908 CHARACTERISTICS OF A COST-EFFECTIVE BLOOD TEST FOR COLORECTAL CANCER SCREENING. Gastroenterology. 166(5). S–219. 1 indexed citations
9.
Alarid‐Escudero, Fernando, Ruanne V. Barnabas, Ran Zhao, et al.. (2024). State-level disparities in cervical cancer prevention and outcomes in the U.S.: a modeling study. Carolina Digital Repository (University of North Carolina at Chapel Hill).
10.
11.
Chin, Elizabeth T., Yifan Zhang, Elizabeth E. Long, et al.. (2022). Effectiveness of Coronavirus Disease 2019 (COVID-19) Vaccines Among Incarcerated People in California State Prisons: Retrospective Cohort Study. Clinical Infectious Diseases. 75(1). e838–e845. 17 indexed citations
12.
Alarid‐Escudero, Fernando, et al.. (2021). Decision-Analytic Modeling Package [R package dampack version 1.0.0]. 1 indexed citations
13.
Krijkamp, Eline, Fernando Alarid‐Escudero, Eva A. Enns, et al.. (2020). A Multidimensional Array Representation of State-Transition Model Dynamics. Medical Decision Making. 40(2). 242–248. 9 indexed citations
14.
Peterse, Elisabeth F.P., Reinier G.S. Meester, Lucie de Jonge, et al.. (2020). Comparing the Cost-Effectiveness of Innovative Colorectal Cancer Screening Tests. JNCI Journal of the National Cancer Institute. 113(2). 154–161. 65 indexed citations
15.
Alarid‐Escudero, Fernando, Eva A. Enns, Karen M. Kuntz, Tzeyu L. Michaud, & Hawre Jalal. (2019). “Time Traveling Is Just Too Dangerous” but Some Methods Are Worth Revisiting: The Advantages of Expected Loss Curves Over Cost-Effectiveness Acceptability Curves and Frontier. Value in Health. 22(5). 611–618. 30 indexed citations
16.
Kunst, Natalia, Fernando Alarid‐Escudero, A. David Paltiel, & Shi‐Yi Wang. (2019). A Value of Information Analysis of Research on the 21-Gene Assay for Breast Cancer Management. Value in Health. 22(10). 1102–1110. 15 indexed citations
17.
Sathianathen, Niranjan, Badrinath R. Konety, Fernando Alarid‐Escudero, et al.. (2018). Cost-effectiveness Analysis of Active Surveillance Strategies for Men with Low-risk Prostate Cancer. European Urology. 75(6). 910–917. 32 indexed citations
18.
Alarid‐Escudero, Fernando, et al.. (2018). Nonidentifiability in Model Calibration and Implications for Medical Decision Making. Medical Decision Making. 38(7). 810–821. 23 indexed citations
19.
Alarid‐Escudero, Fernando, et al.. (2015). Calibration of Piecewise Markov Models Using a Change-Point Analysis Through an Iterative Convex Optimization Algorithm. Value in Health. 18(7). A814–A814. 1 indexed citations
20.
Alarid‐Escudero, Fernando. (2014). CALIBRATION OF PIECEWISE MARKOV MODELS USING A BAYESIAN CHANGE-POINT ANALYSIS THROUGH AN ITERATIVE CONVEX OPTIMIZATION ALGORITHM. 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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