Les Folio

8.0k total citations · 3 hit papers
131 papers, 3.7k citations indexed

About

Les Folio is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Les Folio has authored 131 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Surgery and 27 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Les Folio's work include Radiomics and Machine Learning in Medical Imaging (28 papers), Radiation Dose and Imaging (24 papers) and Advanced X-ray and CT Imaging (21 papers). Les Folio is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (28 papers), Radiation Dose and Imaging (24 papers) and Advanced X-ray and CT Imaging (21 papers). Les Folio collaborates with scholars based in United States, Germany and South Korea. Les Folio's co-authors include Sameer Antani, Jenifer Siegelman, Sema Candemir, Sivaramakrishnan Rajaraman, Stefan Jaeger, Ronald M. Summers, Philip O. Alderson, Hugh Harvey, Martin J. Willemink and Daniel L. Rubin and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Les Folio

122 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Preparing Medical Imaging Data for Machine Learning

2020 553 citations Les Folio, Ronald M. Summers et al. profile →
Automatic Tuberculosis Screening Using Chest Radiographs

2013 434 citations Stefan Jaeger, Alexandros Karargyris et al. profile →
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays

2020 244 citations Sivaramakrishnan Rajaraman, Jenifer Siegelman et al. PubMed Central profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Les Folio United States	28	2.3k	830	752	656	375	131	3.7k
Michael Kuo United States	30	3.5k 1.5×	682 0.8×	667 0.9×	1.5k 2.2×	372 1.0×	70	5.7k
Baskaran Sundaram United States	25	1.1k 0.5×	211 0.3×	414 0.6×	1.6k 2.5×	378 1.0×	62	3.6k
Alfonso Reginelli Italy	37	1.7k 0.7×	492 0.6×	469 0.6×	1.2k 1.8×	489 1.3×	247	5.2k
C. C. Tchoyoson Lim Singapore	31	1.7k 0.7×	251 0.3×	519 0.7×	536 0.8×	906 2.4×	157	4.7k
Luca Brunese Italy	41	1.9k 0.8×	729 0.9×	502 0.7×	1.3k 1.9×	507 1.4×	226	5.3k
Wenbin Ji China	17	1.8k 0.8×	283 0.3×	443 0.6×	530 0.8×	232 0.6×	84	3.3k
Emanuele Neri Italy	33	2.0k 0.8×	651 0.8×	361 0.5×	1.1k 1.7×	380 1.0×	277	4.4k
Mingqian Huang United States	16	2.9k 1.2×	478 0.6×	550 0.7×	641 1.0×	321 0.9×	45	4.7k
Zhongzhao Teng United Kingdom	34	1.5k 0.6×	847 1.0×	274 0.4×	2.1k 3.2×	694 1.9×	135	4.1k

Countries citing papers authored by Les Folio

Since Specialization

Citations

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

Fields of papers citing papers by Les Folio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Les Folio

This figure shows the co-authorship network connecting the top 25 collaborators of Les Folio. A scholar is included among the top collaborators of Les Folio 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 Les Folio. Les Folio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Folio, Les, et al.. (2025). Improving Radiology Report Conciseness and Structure via Local Large Language Models. Journal of Imaging Informatics in Medicine. 39(1). 1005–1016.

Houshmand, Sina, Shahriar Faghani, Peter Chang, et al.. (2025). Cross-Institutional Evaluation of Large Language Models for Radiology Diagnosis Extraction: A Prompt-Engineering Perspective. Journal of Imaging Informatics in Medicine. 39(1). 989–994.

Khosravi, Bardia, Elham Mahmoudi, Pouria Rouzrokh, et al.. (2024). A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey. Journal of Imaging Informatics in Medicine. 37(5). 2015–2024.

Goetz, Kerry, Michael V. Boland, Zhongdi Chu, et al.. (2024). Ocular Imaging Challenges, Current State, and a Path to Interoperability: A HIMSS-SIIM Enterprise Imaging Community Whitepaper. Journal of Imaging Informatics in Medicine. 38(3). 1283–1290.

Folio, Les, et al.. (2024). AI-powered innovations in pancreatitis imaging: a comprehensive literature synthesis. Abdominal Radiology. 50(1). 438–452. 2 indexed citations

Naqa, Issam El, Aleksandra Karolak, Yi Luo, et al.. (2023). Translation of AI into oncology clinical practice. Oncogene. 42(42). 3089–3097. 33 indexed citations

Bagheri, Mohammadhadi, Faraz Farhadi, Andrea B. Apolo, et al.. (2021). CT Evaluation of Lymph Nodes That Merge or Split during the Course of a Clinical Trial: Limitations of RECIST 1.1. Radiology Imaging Cancer. 3(3). e200090–e200090. 9 indexed citations

Ferré, Elise M. N., et al.. (2021). Fatal autoimmune pneumonitis requiring bilobectomy and omental flap repair in a patient with autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy (APECED). Respiratory Medicine Case Reports. 33. 101476–101476. 2 indexed citations

Marciano, Beatriz E., Kenneth N. Olivier, Les Folio, et al.. (2021). Pulmonary Manifestations of GATA2 Deficiency. CHEST Journal. 160(4). 1350–1359. 29 indexed citations

10.

Rajaraman, Sivaramakrishnan, et al.. (2020). Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays. PubMed Central. 244 indexed citations breakdown →

11.

Rajaraman, Sivaramakrishnan, et al.. (2020). Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs. PLoS ONE. 15(11). e0242301–e0242301. 41 indexed citations

12.

Xu, Ziyue, Aaron Wu, Mingchen Gao, et al.. (2017). Quantitative Image Quality Comparison of Reduced- and Standard-Dose Dual-Energy Multiphase Chest, Abdomen, and Pelvis CT. Tomography. 3(2). 114–122. 11 indexed citations

13.

Lau, Chuen‐Yen, Andrew D. Mihalek, Jing Wang, et al.. (2016). Pulmonary Manifestations of the Autoimmune Lymphoproliferative Syndrome. A Retrospective Study of a Unique Patient Cohort. Annals of the American Thoracic Society. 13(8). 1279–1288. 9 indexed citations

14.

Fleshner, Monika, K.N. Olivier, Pamela A. Shaw, et al.. (2016). Mortality among patients with pulmonary non-tuberculous mycobacteria disease. The International Journal of Tuberculosis and Lung Disease. 20(5). 582–587. 63 indexed citations

15.

Sandfort, Veit, Mark A. Ahlman, Elizabeth C. Jones, et al.. (2016). High pitch third generation dual-source CT: Coronary and cardiac visualization on routine chest CT. Journal of cardiovascular computed tomography. 10(4). 282–288. 15 indexed citations

16.

Karargyris, Alexandros, Jenifer Siegelman, Stefan Jaeger, et al.. (2015). Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. International Journal of Computer Assisted Radiology and Surgery. 11(1). 99–106. 78 indexed citations

17.

Lee, Choonsik, Kwang Pyo Kim, Wesley E. Bolch, Brian Moroz, & Les Folio. (2015). NCICT: a computational solution to estimate organ doses for pediatric and adult patients undergoing CT scans. Journal of Radiological Protection. 35(4). 891–909. 134 indexed citations

18.

Folio, Les, et al.. (2015). Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection. Journal of Digital Imaging. 29(4). 406–419. 1 indexed citations

19.

Price, Susan, Pamela A. Shaw, Amy E. Seitz, et al.. (2014). Natural history of autoimmune lymphoproliferative syndrome associated with FAS gene mutations. Blood. 123(13). 1989–1999. 134 indexed citations

20.

Olivier, Kenneth N., Pamela A. Shaw, Tanya Glaser, et al.. (2014). Inhaled Amikacin for Treatment of Refractory Pulmonary Nontuberculous Mycobacterial Disease. Annals of the American Thoracic Society. 11(1). 30–35. 124 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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