Eduardo Iturrate

3.0k total citations · 2 hit papers
41 papers, 1.8k citations indexed

About

Eduardo Iturrate is a scholar working on Infectious Diseases, Health Information Management and Oncology. According to data from OpenAlex, Eduardo Iturrate has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 7 papers in Health Information Management and 6 papers in Oncology. Recurrent topics in Eduardo Iturrate's work include COVID-19 Clinical Research Studies (10 papers), Electronic Health Records Systems (7 papers) and COVID-19 and healthcare impacts (5 papers). Eduardo Iturrate is often cited by papers focused on COVID-19 Clinical Research Studies (10 papers), Electronic Health Records Systems (7 papers) and COVID-19 and healthcare impacts (5 papers). Eduardo Iturrate collaborates with scholars based in United States, Belgium and China. Eduardo Iturrate's co-authors include Judith S. Hochman, Jeffrey S. Berger, Simon Jones, Yindalon Aphinyanaphongs, Seda Bilaloglu, Harmony R. Reynolds, Samrachana Adhikari, Claudia Pulgarin, Gbenga Ogedegbe and Andrea B. Troxel and has published in prestigious journals such as New England Journal of Medicine, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

Eduardo Iturrate

36 papers receiving 1.7k citations

Hit Papers

Renin–Angiotensin–Aldosterone System Inhibitors and Risk ... 2020 2026 2022 2024 2020 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo Iturrate United States 13 1.2k 608 353 188 186 41 1.8k
Justin Laracy United States 9 1.1k 1.0× 604 1.0× 398 1.1× 314 1.7× 118 0.6× 20 1.7k
Taylor Chuich United States 4 922 0.8× 537 0.9× 367 1.0× 321 1.7× 106 0.6× 6 1.4k
Deepa Kumaraiah United States 6 1.2k 1.0× 682 1.1× 355 1.0× 432 2.3× 125 0.7× 7 1.7k
Cynthia So‐Osman Netherlands 22 794 0.7× 265 0.4× 158 0.4× 236 1.3× 86 0.5× 58 2.5k
Patricia Kritek United States 13 1.2k 1.0× 695 1.1× 386 1.1× 93 0.5× 173 0.9× 42 2.3k
Yangbo Xing China 9 1.1k 0.9× 531 0.9× 361 1.0× 118 0.6× 210 1.1× 23 1.7k
Buyun Xu China 7 1.1k 0.9× 531 0.9× 357 1.0× 109 0.6× 209 1.1× 19 1.7k
Jamie S. Hirsch United States 20 510 0.4× 233 0.4× 215 0.6× 140 0.7× 44 0.2× 61 1.3k
Pavan K. Bhatraju United States 18 1.2k 1.1× 744 1.2× 377 1.1× 115 0.6× 141 0.8× 63 2.7k
Shane O’Mahony Ireland 4 1.1k 1.0× 691 1.1× 332 0.9× 67 0.4× 127 0.7× 4 1.8k

Countries citing papers authored by Eduardo Iturrate

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Iturrate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Iturrate

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Iturrate. A scholar is included among the top collaborators of Eduardo Iturrate 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 Eduardo Iturrate. Eduardo Iturrate 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.
Berger, Jeffrey S., Eduardo Iturrate, Malte Westerhoff, et al.. (2025). Opportunistic assessment of abdominal aortic calcification using artificial intelligence (AI) predicts coronary artery disease and cardiovascular events. American Heart Journal. 288. 122–130.
2.
Zheng, Yaguang, et al.. (2025). Natural Language Processing for Automated Extraction of Continuous Glucose Monitoring Data. Diabetes Care. 48(12). 2138–2144.
3.
Berger, Jeffrey S., Eduardo Iturrate, Josef Coresh, et al.. (2025). Real‐World Evidence Linking the Predicting Risk of Cardiovascular Disease Events Risk Score and Coronary Artery Calcium. Journal of the American Heart Association. 14(11). e038991–e038991.
4.
Mandal, Soumik, Batia M. Wiesenfeld, David Mann, et al.. (2024). Quantifying the impact of telemedicine and patient medical advice request messages on physicians' work-outside-work. npj Digital Medicine. 7(1). 35–35. 8 indexed citations
5.
Alcon, Andre, et al.. (2024). Contemporary Prevalence of Oral Clefts in the US: Geographic and Socioeconomic Considerations. Journal of Clinical Medicine. 13(9). 2570–2570. 2 indexed citations
6.
Bae, Sunjae, Alexandra T. Strauss, Bonnie E. Lonze, et al.. (2024). Generalizability of kidney transplant data in electronic health records — The Epic Cosmos database vs the Scientific Registry of Transplant Recipients. American Journal of Transplantation. 25(4). 744–755. 1 indexed citations
7.
Gámbaro, Fabiana, Ralf Duerr, Dacia Dimartino, et al.. (2024). Emergence and dissemination of SARS-CoV-2 XBB.1.5 in New York. Virus Evolution. 10(1). veae035–veae035. 2 indexed citations
8.
Burk‐Rafel, Jesse, Stefanie S. Sebok‐Syer, Sally A. Santen, et al.. (2023). TRainee Attributable & Automatable Care Evaluations in Real-time (TRACERs): A Scalable Approach for Linking Education to Patient Care. Perspectives on Medical Education. 12(1). 149–159. 24 indexed citations
9.
Iturrate, Eduardo, et al.. (2023). Electronic Health Record Messaging Patterns of Health Care Professionals in Inpatient Medicine. JAMA Network Open. 6(12). e2349136–e2349136. 14 indexed citations
10.
Goodman, Adam, Katherine Hochman, Jonathan Austrian, et al.. (2023). Novel Note Templates to Enhance Signal and Reduce Noise in Medical Documentation: Prospective Improvement Study. JMIR Formative Research. 7. e41223–e41223. 6 indexed citations
11.
Lawrence, Katharine, Oded Nov, David Mann, et al.. (2022). The Impact of Telemedicine on Physicians’ After-hours Electronic Health Record “Work Outside Work” During the COVID-19 Pandemic: Retrospective Cohort Study. JMIR Medical Informatics. 10(7). e34826–e34826. 12 indexed citations
13.
Fernandez‐Ruiz, Ruth, Theresa Wampler Muskardin, Jacqueline L Paredes, et al.. (2022). Interferon pathway lupus risk alleles modulate risk of death from acute COVID-19. Translational research. 244. 47–55. 12 indexed citations
14.
Xia, Yuhe, Jeffrey S. Berger, Eduardo Iturrate, et al.. (2022). Sex differences in the prognostic value of troponin and D-dimer in COVID-19 illness. Heart & Lung. 58. 1–5. 3 indexed citations
16.
Brosnahan, Shari B., Alok A. Bhatt, Jeffrey S. Berger, et al.. (2020). COVID-19 Pneumonia Hospitalizations Followed by Re-Presentation for Presumed Thrombotic Event. CHEST Journal. 158(4). 1665–1668.
17.
Ding, Dan, Anna Stachel, Eduardo Iturrate, & Michael Phillips. (2019). 1184. Making Pneumonia Surveillance Easy: Automation of Pneumonia Case Detection. Open Forum Infectious Diseases. 6(Supplement_2). S424–S425. 1 indexed citations
18.
Swartz, Jordan, et al.. (2017). Creation of a simple natural language processing tool to support an imaging utilization quality dashboard. International Journal of Medical Informatics. 101. 93–99. 28 indexed citations
19.
Iturrate, Eduardo, et al.. (2015). Discharge before noon: Effect on throughput and sustainability. Journal of Hospital Medicine. 10(10). 664–669. 41 indexed citations
20.
Iturrate, Eduardo, et al.. (2005). Optimización del diseño, operación y control de las EDAR utilizando modelos matemáticos y herramientas de simulación. 74–79.

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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