Nhan Do

4.4k total citations · 1 hit paper
85 papers, 1.2k citations indexed

About

Nhan Do is a scholar working on Oncology, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Nhan Do has authored 85 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 15 papers in Artificial Intelligence and 13 papers in Infectious Diseases. Recurrent topics in Nhan Do's work include COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Nhan Do is often cited by papers focused on COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Nhan Do collaborates with scholars based in United States, Australia and United Kingdom. Nhan Do's co-authors include Nathanael R. Fillmore, Mary T. Brophy, Jennifer La, Constantinos S. Pattichis, Andreas S. Panayides, Nenad Filipović, Tahsin Kurç, David J. Foran, Konstantina S. Nikita and Joel Saltz and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Nhan Do

73 papers receiving 1.2k 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.

AI in Medical Imaging Informatics: Current Challenges and Future Directions

2020 361 citations Nhan Do et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nhan Do United States	18	220	207	201	185	180	85	1.2k
Zahra Raisi‐Estabragh United Kingdom	23	174 0.8×	142 0.7×	454 2.3×	109 0.6×	261 1.4×	102	2.0k
Robert Freeman United States	23	149 0.7×	234 1.1×	181 0.9×	103 0.6×	313 1.7×	97	1.7k
Tahmina Nasrin Poly Taiwan	25	139 0.6×	180 0.9×	273 1.4×	154 0.8×	89 0.5×	59	2.0k
Lynne Penberthy United States	26	534 2.4×	216 1.0×	120 0.6×	114 0.6×	220 1.2×	62	2.8k
Joseph E. Ebinger United States	24	119 0.5×	150 0.7×	517 2.6×	108 0.6×	701 3.9×	88	2.6k
Selen Bozkurt Türkiye	20	101 0.5×	312 1.5×	214 1.1×	115 0.6×	41 0.2×	111	1.3k
Milena Gianfrancesco United States	21	136 0.6×	479 2.3×	312 1.6×	86 0.5×	208 1.2×	51	2.6k
Smadar Shilo Israel	20	50 0.2×	126 0.6×	80 0.4×	212 1.1×	239 1.3×	41	1.4k
Samantha Cruz Rivera United Kingdom	10	110 0.5×	147 0.7×	217 1.1×	37 0.2×	173 1.0×	28	1.5k
Yuqun Zeng China	11	87 0.4×	366 1.8×	62 0.3×	90 0.5×	89 0.5×	21	1.3k

Countries citing papers authored by Nhan Do

Since Specialization

Citations

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

Fields of papers citing papers by Nhan Do

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nhan Do

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

All Works

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20 of 20 papers shown

Goryachev, Sergey, Daniel Chen, Oleg Soloviev, et al.. (2025). Automated Extraction of Imaging and Pathology Data From Diverse Prostate Cancer Electronic Records. JCO Clinical Cancer Informatics. 9(9). e2500085–e2500085.

Zheng, Chunlei, Daniel P. Ritter, Debora S. Marks, et al.. (2025). Pancreatic cancer risk prediction using deep sequential modeling of longitudinal diagnostic and medication records. Cell Reports Medicine. 6(9). 102359–102359.

Brady, Julianne E., Anna M. Barker, Gemmae M. Fix, et al.. (2025). Proactive, Prediction-Driven Outreach for Lung Cancer Screening: Development and Feasibility of a Population Management Toolkit. Journal of the American College of Radiology. 22(12). 1536–1546.

Swinnerton, Kaitlin N., Nathanael R. Fillmore, Jennifer La, et al.. (2025). Leveraging near-real-time patient and population data to incorporate fluctuating risk of severe COVID-19: development and prospective validation of a personalised risk prediction tool. EClinicalMedicine. 81. 103114–103114.

La, Jennifer, Tammy T. Hshieh, J. Michael Gaziano, et al.. (2024). Potentially inappropriate medications and their association with frailty, unplanned hospitalizations, and mortality in patients with cancer treated in the national U.S. Veterans Affairs Healthcare System.. Journal of Clinical Oncology. 42(16_suppl). 1620–1620. 1 indexed citations

Clark, Matthew M., Chris Meyer, Jaime Ramos‐Cejudo, et al.. (2024). Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots. Studies in health technology and informatics. 310. 735–739. 1 indexed citations

Neu, Karlynn E., Jennifer La, Ang Li, et al.. (2024). External validation of a novel cancer-associated venous thromboembolism risk assessment score in a safety-net hospital. Research and Practice in Thrombosis and Haemostasis. 9(1). 102650–102650. 3 indexed citations

Ramos‐Cejudo, Jaime, Chunlei Zheng, Kaitlin N. Swinnerton, et al.. (2024). Antidepressant exposure and long‐term dementia risk in a nationwide retrospective study on US veterans with midlife major depressive disorder. Alzheimer s & Dementia. 20(6). 4106–4114. 4 indexed citations

Hernandez, Kyle M., Aarti Venkat, Mary T. Brophy, et al.. (2023). Prostate cancer patient stratification by molecular signatures in the Veterans Precision Oncology Data Commons. Molecular Case Studies. 9(4). a006298–a006298. 2 indexed citations

10.

Fillmore, Nathanael R., Steven Bell, Ciyue Shen, et al.. (2021). Disulfiram use is associated with lower risk of COVID-19: A retrospective cohort study. PLoS ONE. 16(10). e0259061–e0259061. 39 indexed citations

11.

Fillmore, Nathanael R., Clark DuMontier, Jennifer La, et al.. (2021). Defining Multimorbidity and Its Impact in Older United States Veterans Newly Treated for Multiple Myeloma. JNCI Journal of the National Cancer Institute. 113(8). 1084–1093. 11 indexed citations

12.

Zheng, Chunlei, Nathanael R. Fillmore, Jaime Ramos‐Cejudo, et al.. (2021). Potential long‐term effect of tumor necrosis factor inhibitors on dementia risk: A propensity score matched retrospective cohort study in US veterans. Alzheimer s & Dementia. 18(6). 1248–1259. 20 indexed citations

13.

La, Jennifer, Westyn Branch‐Elliman, Linden Huhmann, et al.. (2021). 1562MO Effectiveness of COVID-19 vaccination in cancer patients: A nationwide Veterans Affairs study. Annals of Oncology. 32. S1131–S1131. 1 indexed citations

14.

Fillmore, Nathanael R., Jennifer La, Raphaël Szalat, et al.. (2020). Prevalence and Outcome of COVID-19 Infection in Cancer Patients: A National Veterans Affairs Study. JNCI Journal of the National Cancer Institute. 113(6). 691–698. 68 indexed citations

15.

Fillmore, Nathanael R., Chris Meyer, Daniel Chen, et al.. (2020). The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. Patterns. 1(6). 100083–100083. 5 indexed citations

16.

Fillmore, Nathanael R., Nhan Do, Mary T. Brophy, & Andrew J. Zimolzak. (2019). Interactive Machine Learning for Laboratory Data Integration. Studies in health technology and informatics. 264. 133–137. 8 indexed citations

17.

Oh, John S., Nhan Do, Mary C. Clouser, et al.. (2015). Effectiveness of the combat pelvic protection system in the prevention of genital and urinary tract injuries. The Journal of Trauma: Injury, Infection, and Critical Care. 79(4). S193–S196. 15 indexed citations

18.

Palinkas, Lawrence A., Marc Shepanek, Mark W. Smith, et al.. (2007). Environmental influences on hypothalamic–pituitary–thyroid function and behavior in Antarctica. Physiology & Behavior. 92(5). 790–799. 28 indexed citations

19.

Bouhaddou, Omar, Frank A. Parrish, Nhan Do, et al.. (2007). Exchange of Computable Patient Data between the Department of Veterans Affairs (VA) and the Department of Defense (DoD): Terminology Mediation Strategy. Journal of the American Medical Informatics Association. 15(2). 174–183. 36 indexed citations

20.

Do, Nhan, Lizbeth Mino, George R. Merriam, et al.. (2004). Elevation in Serum Thyroglobulin during Prolonged Antarctic Residence: Effect of Thyroxine Supplement in the Polar 3,5,3′-Triiodothyronine Syndrome. The Journal of Clinical Endocrinology & Metabolism. 89(4). 1529–1533. 24 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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