William Lotter

2.6k total citations · 1 hit paper
19 papers, 412 citations indexed

About

William Lotter is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Informatics. According to data from OpenAlex, William Lotter has authored 19 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 7 papers in Health Informatics. Recurrent topics in William Lotter's work include Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (8 papers) and Artificial Intelligence in Healthcare and Education (7 papers). William Lotter is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (8 papers) and Artificial Intelligence in Healthcare and Education (7 papers). William Lotter collaborates with scholars based in United States, Australia and South Africa. William Lotter's co-authors include David Cox, Gabriel Kreiman, Kenneth L. Kehl, Martin Schrimpf, Eliezer M. Van Allen, Nikolaus Schultz, Ana Paredes, Michael J. Hassett, Ethan Cerami and Charlotte Moerman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.

In The Last Decade

William Lotter

17 papers receiving 406 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.

Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions

2024 71 citations William Lotter, Michael J. Hassett et al. Cancer Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Lotter United States	9	132	125	125	81	59	19	412
Nicolás Nieto Argentina	3	139 1.1×	83 0.7×	130 1.0×	160 2.0×	17 0.3×	8	405
Yuzhong Chen China	12	70 0.5×	100 0.8×	83 0.7×	16 0.2×	28 0.5×	30	368
Lama Hassan Canada	11	82 0.6×	44 0.4×	189 1.5×	33 0.4×	35 0.6×	17	365
Kaisar Kushibar Spain	11	210 1.6×	89 0.7×	200 1.6×	63 0.8×	11 0.2×	16	497
Yair Hanani Israel	5	131 1.0×	31 0.2×	52 0.4×	44 0.5×	31 0.5×	7	514
Duoru Lin China	17	56 0.4×	63 0.5×	491 3.9×	74 0.9×	14 0.2×	70	867
Zhuoyuan Li China	6	101 0.8×	26 0.2×	121 1.0×	15 0.2×	25 0.4×	12	301
Jee Seok Yoon South Korea	11	53 0.4×	42 0.3×	108 0.9×	16 0.2×	12 0.2×	15	284
Shih-Ying Huang United States	9	185 1.4×	38 0.3×	439 3.5×	48 0.6×	30 0.5×	15	776
Mostafa Fatehi Canada	11	86 0.7×	18 0.1×	79 0.6×	49 0.6×	12 0.2×	27	364

Countries citing papers authored by William Lotter

Since Specialization

Citations

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

Fields of papers citing papers by William Lotter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Lotter

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

All Works

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19 of 19 papers shown

Lotter, William, Daniel S. Hippe, Kathryn P. Lowry, et al.. (2025). Influence of Mammography Acquisition Parameters on AI and Radiologist Interpretive Performance. Radiology Artificial Intelligence. 7(6). e240861–e240861.

Wang, David, Michelangelo Vestita, Fadi Murad, et al.. (2025). Mohs Surgery vs Wide Local Excision in Primary High-Stage Cutaneous Squamous Cell Carcinoma. JAMA Dermatology. 161(5). 508–508. 1 indexed citations

Ruiz, Emily S., et al.. (2025). How AI is used in FDA-authorized medical devices: a taxonomy across 1,016 authorizations. npj Digital Medicine. 8(1). 388–388. 6 indexed citations

Lotter, William, et al.. (2025). Distinguishing between Rigor and Transparency in FDA Marketing Authorization of AI-enabled Medical Devices. Radiology Artificial Intelligence. 7(6). e250369–e250369. 1 indexed citations

Altreuter, Jennifer, Joao V. Alessi, Jason L. Weirather, et al.. (2025). Pan-cancer spatial characterization of key immune biomarkers in the tumor microenvironment. Cell Reports Medicine. 102418–102418.

Marinovich, M. Luke, et al.. (2024). Simulated arbitration of discordance between radiologists and artificial intelligence interpretation of breast cancer screening mammograms. Journal of Medical Screening. 32(1). 48–52. 1 indexed citations

Lotter, William, Michael J. Hassett, Nikolaus Schultz, et al.. (2024). Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions. Cancer Discovery. 14(5). 711–726. 71 indexed citations breakdown →

Wan, Guihong, Katie Roster, Nga Nguyen, et al.. (2024). Multi-organ immune-related adverse events from immune checkpoint inhibitors and their downstream implications: a retrospective multicohort study. The Lancet Oncology. 25(8). 1053–1069. 34 indexed citations

Lotter, William. (2024). Acquisition parameters influence AI recognition of race in chest x-rays and mitigating these factors reduces underdiagnosis bias. Nature Communications. 15(1). 7465–7465. 3 indexed citations

10.

Xu, Wenxin, et al.. (2024). Extraction and Imputation of Eastern Cooperative Oncology Group Performance Status From Unstructured Oncology Notes Using Language Models. JCO Clinical Cancer Informatics. 8(8). e2300269–e2300269. 2 indexed citations

11.

Grisot, Giorgia, et al.. (2024). Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists. Radiology Artificial Intelligence. 6(2). e230137–e230137. 7 indexed citations

12.

McNamara, Stephanie L., Paul H. Yi, & William Lotter. (2024). The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation. npj Digital Medicine. 7(1). 80–80. 18 indexed citations

13.

Marinovich, M. Luke, Elizabeth Wylie, William Lotter, et al.. (2023). Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection. EBioMedicine. 90. 104498–104498. 41 indexed citations

14.

Lindsay, James, Bijaya Sharma, Kristen D. Felt, et al.. (2023). Abstract 5706: ImmunoPROFILE: A prospective implementation of clinically validated, quantitative immune cell profiling test identifies tumor-infiltrating CD8+ and PD-1+ cell densities as prognostic biomarkers across a 2,023 patient pan-cancer cohort treated with different therapies. Cancer Research. 83(7_Supplement). 5706–5706. 1 indexed citations

15.

Hendrix, Nathaniel, Kathryn P. Lowry, Joann G. Elmore, et al.. (2022). Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation. Journal of the American College of Radiology. 19(10). 1098–1110. 12 indexed citations

16.

Marinovich, M. Luke, Elizabeth Wylie, William Lotter, et al.. (2022). Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection. BMJ Open. 12(1). e054005–e054005. 21 indexed citations

17.

Hsu, William, Daniel S. Hippe, Pin‐Chieh Wang, et al.. (2022). External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence. JAMA Network Open. 5(11). e2242343–e2242343. 28 indexed citations

18.

Lotter, William, Gabriel Kreiman, & David Cox. (2020). A neural network trained for prediction mimics diverse features of biological neurons and perception. Nature Machine Intelligence. 2(4). 210–219. 56 indexed citations

19.

Tang, Hanlin, Martin Schrimpf, William Lotter, et al.. (2018). Recurrent computations for visual pattern completion. Proceedings of the National Academy of Sciences. 115(35). 8835–8840. 109 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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