Florence X. Doo

616 total citations · 1 hit paper
32 papers, 334 citations indexed

About

Florence X. Doo is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Biomedical Engineering. According to data from OpenAlex, Florence X. Doo has authored 32 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Health Informatics and 5 papers in Biomedical Engineering. Recurrent topics in Florence X. Doo's work include Artificial Intelligence in Healthcare and Education (8 papers), Radiology practices and education (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Florence X. Doo is often cited by papers focused on Artificial Intelligence in Healthcare and Education (8 papers), Radiology practices and education (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Florence X. Doo collaborates with scholars based in United States, Canada and Australia. Florence X. Doo's co-authors include Tessa S. Cook, Kate Hanneman, Vishwa S. Parekh, Michael B. Chancellor, Paul H. Yi, Jan Vosshenrich, Linda Moy, Tobias Heye, Judy Wawira Gichoya and Eliot L. Siegel and has published in prestigious journals such as Radiology, The Lancet Oncology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Florence X. Doo

26 papers receiving 329 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.

Environmental Sustainability and AI in Radiology: A Double-Edged Sword

2024 58 citations Florence X. Doo, Jan Vosshenrich et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florence X. Doo United States	11	133	76	61	61	59	32	334
Nina Stein Canada	9	48 0.4×	57 0.8×	16 0.3×	18 0.3×	26 0.4×	27	234
Marissa Maas United States	8	50 0.4×	15 0.2×	17 0.3×	34 0.6×	14 0.2×	21	253
Susanne Elsner Germany	5	28 0.2×	18 0.2×	3 0.0×	126 2.1×	43 0.7×	18	315
John Michael DiBianco United States	11	43 0.3×	56 0.7×		44 0.7×	53 0.9×	43	388
Joel Rosenberg United States	9	23 0.2×	39 0.5×		86 1.4×	43 0.7×	22	287
Daphne Remulla United States	4	55 0.4×	49 0.6×	2 0.0×	12 0.2×	13 0.2×	22	360
Tatum A. McArthur United States	9	167 1.3×	38 0.5×	1 0.0×	27 0.4×	6 0.1×	19	308
Carlotta Nedbal Italy	9	43 0.3×	28 0.4×	2 0.0×	13 0.2×	14 0.2×	47	206
David Meier Switzerland	14	128 1.0×	26 0.3×	10 0.2×	3 0.0×		90	607
Natalie L. Demirjian United States	9	165 1.2×	11 0.1×	3 0.0×	16 0.3×		16	284

Countries citing papers authored by Florence X. Doo

Since Specialization

Citations

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

Fields of papers citing papers by Florence X. Doo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florence X. Doo. 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 Florence X. Doo. The network helps show where Florence X. Doo may publish in the future.

Co-authorship network of co-authors of Florence X. Doo

This figure shows the co-authorship network connecting the top 25 collaborators of Florence X. Doo. A scholar is included among the top collaborators of Florence X. Doo 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 Florence X. Doo. Florence X. Doo 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

Doo, Florence X., et al.. (2025). Systemic Challenges to Lung Cancer Screening in the Safety-Net Setting: Care and Informatics Fragmentation. Journal of the American College of Radiology. 22(12). 1598–1604.

Doo, Florence X., Regent Lee, Andrea Rockall, Elizabeth Y. Rula, & Linda Moy. (2025). Medical Imaging Contrast Media Use. JAMA Network Open. 8(12). e2547304–e2547304.

Dako, Farouk, Fábio Ynoe de Moraes, Florence X. Doo, et al.. (2025). Digital health and artificial intelligence innovations for oncology in sub-Saharan Africa. The Lancet Oncology. 26(10). e547–e557.

Yahyavi‐Firouz‐Abadi, Noushin, et al.. (2025). The Iodine Opportunity for Sustainable Radiology: Quantifying Supply-Chain Strategies to Cut Contrast’s Carbon and Costs. Journal of the American College of Radiology.

Doo, Florence X., et al.. (2025). Sex-Based Bias in Artificial Intelligence-Based Segmentation Models in Clinical Oncology. Clinical Oncology. 39. 103758–103758. 1 indexed citations

Larson, David B., Florence X. Doo, Bibb Allen, et al.. (2024). Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI. Journal of the American College of Radiology. 21(7). 1119–1129. 4 indexed citations

Pisano, Thomas J., Florence X. Doo, Mary Salvatore, et al.. (2024). Dynamic Digital Radiography Pulmonary Function Testing. 2(3). 100052–100052.

Doo, Florence X., Jan Vosshenrich, Tessa S. Cook, et al.. (2024). Environmental Sustainability and AI in Radiology: A Double-Edged Sword. Radiology. 310(2). e232030–e232030. 58 indexed citations breakdown →

Brown, M. J., et al.. (2024). Planetary Health and Radiology: Why We Should Care and What We Can Do. Radiology. 311(1). e240219–e240219. 37 indexed citations

10.

Doo, Florence X., Jerry Zhao, Andrew Chan, et al.. (2024). Children Are Not Small Adults: Addressing Limited Generalizability of an Adult Deep Learning CT Organ Segmentation Model to the Pediatric Population. Journal of Imaging Informatics in Medicine. 38(3). 1628–1641. 3 indexed citations

11.

Doo, Florence X., Nicole Hindman, Judy Yee, et al.. (2024). Current Status and Legislative Trends in Diversity, Equity, Inclusion in US Radiology. Journal of the American College of Radiology. 22(2). 204–210. 1 indexed citations

12.

Doo, Florence X., Pranav Kulkarni, Eliot L. Siegel, et al.. (2023). Economic and Environmental Costs of Cloud Technologies for Medical Imaging and Radiology Artificial Intelligence. Journal of the American College of Radiology. 21(2). 248–256. 21 indexed citations

13.

Doo, Florence X., et al.. (2023). Evaluation of Climate-Aware Metrics Tools for Radiology Informatics and Artificial Intelligence: Toward a Potential Radiology Ecolabel. Journal of the American College of Radiology. 21(2). 239–247. 3 indexed citations

14.

Doo, Florence X., Tessa S. Cook, Eliot L. Siegel, et al.. (2023). Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health. Journal of the American College of Radiology. 20(9). 877–885. 18 indexed citations

15.

Doo, Florence X. & Geraldine McGinty. (2023). Building Diversity, Equity, and Inclusion Within Radiology Artificial Intelligence: Representation Matters, From Data to the Workforce. Journal of the American College of Radiology. 20(9). 852–856. 10 indexed citations

16.

Doo, Florence X., et al.. (2023). Prevalence of Diversity Statements and Disability Inclusion Among Radiology Residency Program Websites. Journal of the American College of Radiology. 20(9). 922–927. 4 indexed citations

17.

Wardeh, Amr H., Florence X. Doo, Brett Marinelli, et al.. (2022). Predicting Patient Demographics From Chest Radiographs With Deep Learning. Journal of the American College of Radiology. 19(10). 1151–1161. 22 indexed citations

18.

Lakhani, Dhairya A., Florence X. Doo, & Charlotte Chung. (2022). Developing a Comprehensive Resident-driven Research Training Pathway: A Chief Resident's Perspective. Current Problems in Diagnostic Radiology. 52(2). 93–96. 3 indexed citations

19.

Ismail, Anas, et al.. (2020). Abstract No. 469 Current state of interventional radiology in Nigeria. Journal of Vascular and Interventional Radiology. 31(3). S207–S208.

20.

Doo, Florence X., et al.. (2020). Rare presentations of COVID-19: PRES-like leukoencephalopathy and carotid thrombosis. Clinical Imaging. 69. 94–101. 32 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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