Donghoon Lee

1.2k total citations
9 papers, 962 citations indexed

About

Donghoon Lee is a scholar working on Biomedical Engineering, Biomaterials and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Donghoon Lee has authored 9 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Biomaterials and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Donghoon Lee's work include Nanoparticle-Based Drug Delivery (3 papers), MRI in cancer diagnosis (3 papers) and Advanced MRI Techniques and Applications (3 papers). Donghoon Lee is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), MRI in cancer diagnosis (3 papers) and Advanced MRI Techniques and Applications (3 papers). Donghoon Lee collaborates with scholars based in United States, South Korea and South Africa. Donghoon Lee's co-authors include Richard G. Ellenbogen, Conroy Sun, Omid Veiseh, Miqin Zhang, Jim Olson, Raymond W. Sze, Jonathan Gunn, Stacey Hansen, Fang Chen and Nathan Kohler and has published in prestigious journals such as Nano Letters, Advanced Functional Materials and Small.

In The Last Decade

Donghoon Lee

8 papers receiving 937 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donghoon Lee United States	8	530	513	313	233	90	9	962
Mike Jeon United States	13	478 0.9×	502 1.0×	275 0.9×	261 1.1×	44 0.5×	15	919
Gwangseong Kim United States	20	394 0.7×	1.0k 2.0×	328 1.0×	336 1.4×	101 1.1×	31	1.4k
Pubudu M. Peiris United States	18	791 1.5×	918 1.8×	364 1.2×	327 1.4×	95 1.1×	24	1.5k
Zhongling Wang China	17	500 0.9×	681 1.3×	284 0.9×	334 1.4×	34 0.4×	41	1.1k
Chih‐Pin Tsai Taiwan	7	590 1.1×	528 1.0×	313 1.0×	689 3.0×	86 1.0×	9	1.3k
Sakine Shirvalilou Iran	18	458 0.9×	481 0.9×	201 0.6×	216 0.9×	43 0.5×	44	892
Rinat Meir Israel	15	229 0.4×	479 0.9×	271 0.9×	252 1.1×	99 1.1×	23	1.2k
Jim Olson United States	7	707 1.3×	649 1.3×	554 1.8×	274 1.2×	109 1.2×	10	1.4k
Julie Czupryna United States	9	340 0.6×	377 0.7×	216 0.7×	180 0.8×	53 0.6×	10	741
Canan Schumann United States	15	447 0.8×	648 1.3×	257 0.8×	268 1.2×	40 0.4×	17	984

Countries citing papers authored by Donghoon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Donghoon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghoon Lee

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

All Works

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9 of 9 papers shown

Park, Jinkyeong, Donghoon Lee, Minkyu Kim, et al.. (2025). DeepTDM: Deep Learning-Based Prediction of Sequential Therapeutic Drug Monitoring Levels of Vancomycin. IEEE Journal of Translational Engineering in Health and Medicine. 13. 493–506.

Vohra, Ravneet, et al.. (2022). Non-Invasive Monitoring of Increased Fibrotic Tissue and Hyaluronan Deposition in the Tumor Microenvironment in the Advanced Stages of Pancreatic Ductal Adenocarcinoma. Cancers. 14(4). 999–999. 8 indexed citations

Maloney, Ezekiel, Yak-Nam Wang, Ravneet Vohra, et al.. (2020). Magnetic resonance imaging biomarkers for pulsed focused ultrasound treatment of pancreatic ductal adenocarcinoma. World Journal of Gastroenterology. 26(9). 904–917. 7 indexed citations

Lee, Donghoon, Ye‐Rin Lee, & In‐Hwan Oh. (2019). Cost-effectiveness of smoking cessation programs for hospitalized patients: a systematic review. The European Journal of Health Economics. 20(9). 1409–1424. 14 indexed citations

Maloney, Ezekiel, Christopher C. DuFort, Paolo P. Provenzano, et al.. (2019). Non-Invasive Monitoring of Stromal Biophysics with Targeted Depletion of Hyaluronan in Pancreatic Ductal Adenocarcinoma. Cancers. 11(6). 772–772. 18 indexed citations

Chiarelli, Peter A., Joshua Park, Richard G. Ellenbogen, et al.. (2016). Theranostic Oxygen Reactive Polymers for Treatment of Traumatic Brain Injury. Advanced Functional Materials. 26(23). 4124–4133. 40 indexed citations

Sun, Conroy, Omid Veiseh, Jonathan Gunn, et al.. (2008). In Vivo MRI Detection of Gliomas by Chlorotoxin‐Conjugated Superparamagnetic Nanoprobes. Small. 4(3). 372–379. 249 indexed citations

Sun, Conroy, Fang Chen, Zachary R. Stephen, et al.. (2008). Tumor-Targeted Drug Delivery and MRI Contrast Enhancement by Chlorotoxin-Conjugated Iron Oxide Nanoparticles. Nanomedicine. 3(4). 495–505. 166 indexed citations

Veiseh, Omid, Conroy Sun, Jonathan Gunn, et al.. (2005). Optical and MRI Multifunctional Nanoprobe for Targeting Gliomas. Nano Letters. 5(6). 1003–1008. 460 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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