Daniel Jeong

1.2k total citations
56 papers, 707 citations indexed

About

Daniel Jeong is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Jeong has authored 56 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 19 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Jeong's work include Pancreatic and Hepatic Oncology Research (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and MRI in cancer diagnosis (6 papers). Daniel Jeong is often cited by papers focused on Pancreatic and Hepatic Oncology Research (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and MRI in cancer diagnosis (6 papers). Daniel Jeong collaborates with scholars based in United States, Switzerland and France. Daniel Jeong's co-authors include Pushkar Mehra, Jin Qi, Kerry Thomas, Christopher J. François, Mark L. Schiebler, Jhanelle E. Gray, Robert J. Gillies, Matthew B. Schabath, Albert Güveniş and Mahmoud A. Abdalah and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Daniel Jeong

50 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Jeong United States 15 233 204 196 184 127 56 707
Pierre Castadot Belgium 15 187 0.8× 410 2.0× 133 0.7× 337 1.8× 207 1.6× 30 1.0k
Kayoko Ohnishi Japan 19 170 0.7× 262 1.3× 298 1.5× 574 3.1× 168 1.3× 69 1.0k
Akitoshi Saito Japan 15 112 0.5× 509 2.5× 253 1.3× 269 1.5× 109 0.9× 28 942
Giulia Grazzini Italy 17 175 0.8× 318 1.6× 158 0.8× 121 0.7× 16 0.1× 44 687
Michalis Mazonakis Greece 18 147 0.6× 368 1.8× 184 0.9× 336 1.8× 29 0.2× 67 894
Ricardo Sales dos Santos United States 22 277 1.2× 335 1.6× 491 2.5× 1.5k 8.2× 95 0.7× 59 1.9k
Dilek Yılmazbayhan Türkiye 17 139 0.6× 32 0.2× 256 1.3× 232 1.3× 50 0.4× 58 643
Andrea Agostini Italy 18 178 0.8× 513 2.5× 234 1.2× 229 1.2× 13 0.1× 44 997
Nicholas Carroll United Kingdom 15 222 1.0× 92 0.5× 433 2.2× 715 3.9× 75 0.6× 35 1.0k
Alessandro Stefani Italy 19 313 1.3× 54 0.3× 323 1.6× 637 3.5× 20 0.2× 67 1.0k

Countries citing papers authored by Daniel Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Jeong

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

All Works

20 of 20 papers shown
1.
Jeong, Daniel, A Richards, Maria F. Gomez, et al.. (2025). Comparison of volumetric and single-slice computed tomography body composition metrics for colorectal cancer survival. European Journal of Radiology. 190. 112241–112241.
2.
Jeong, Daniel, et al.. (2025). Thermal transport in shear-wrinkled hexagonal boron nitride. Case Studies in Thermal Engineering. 71. 106199–106199.
3.
Glushko, Tetiana, James Costello, Ranjit S. Chima, et al.. (2025). Molecular signatures of intrahepatic cholangiocarcinoma: role in targeted therapy selection. European Journal of Radiology. 187. 112056–112056. 1 indexed citations
4.
Jeong, Daniel, Brian Morse, Dung‐Tsa Chen, et al.. (2024). Pancreatic Cyst Size Measurement on Magnetic Resonance Imaging Compared to Pathology. Cancers. 16(1). 206–206. 2 indexed citations
5.
Feuerlein, Sebastian, Daniel Jeong, Jessica M. Frakes, et al.. (2024). The role of rectal magnetic resonance imaging in accurate localization and designation of colorectal cancer for optimal management: Case study. SHILAP Revista de lepidopterología. 19(8). 3042–3048.
6.
Kim, Jungsang, Daniel Jeong, Su Young Jung, et al.. (2024). Korean Medicine Subcision Therapies in Scar Treatment: A Retrospective, Multicenter Study at Network Clinics. Clinical Cosmetic and Investigational Dermatology. Volume 17. 2381–2389. 1 indexed citations
7.
Sarcar, Bhaswati, Bin Fang, Victoria Izumi, et al.. (2022). A comparative Proteomics Analysis Identified Differentially Expressed Proteins in Pancreatic Cancer–Associated Stellate Cell Small Extracellular Vesicles. Molecular & Cellular Proteomics. 21(12). 100438–100438. 8 indexed citations
8.
Lee, Dae Hyun, Sanjay Chandrasekhar, Michael D. Jain, et al.. (2021). Abstract 9828: Active Surveillance of Cardiotoxicity with Cardiac Biomarkers During Chimeric Antigen Receptor T-Cell Therapy. Circulation. 144(Suppl_1). 2 indexed citations
9.
Anaya, Daniel A., Prashant Dogra, Zhihui Wang, et al.. (2021). A Mathematical Model to Estimate Chemotherapy Concentration at the Tumor-Site and Predict Therapy Response in Colorectal Cancer Patients with Liver Metastases. Cancers. 13(3). 444–444. 16 indexed citations
10.
Powers, Benjamin D., Richard D. Kim, Jason W. Denbo, et al.. (2021). Integrating a Disease-Focused Tumor Board as a Delivery-of-Care Model to Expedite Treatment Initiation for Patients With Liver Malignancies. Annals of Surgical Oncology. 29(4). 2371–2380. 5 indexed citations
11.
Permuth, Jennifer B., Shraddha Vyas, Jiannong Li, et al.. (2021). Comparison of Radiomic Features in a Diverse Cohort of Patients With Pancreatic Ductal Adenocarcinomas. Frontiers in Oncology. 11. 712950–712950. 8 indexed citations
12.
Choi, Jung Woo, Melissa McGettigan, Trevor Rose, et al.. (2020). Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy. World Journal of Gastroenterology. 26(24). 3458–3471. 37 indexed citations
13.
Morse, Brian, et al.. (2019). Cardiac Magnetic Resonance for Diagnosis of Neuroendocrine Tumor Metastases to the Right and Left Ventricles with Carcinoid Heart Disease. SHILAP Revista de lepidopterología. 2019. 1–4. 4 indexed citations
14.
Johnson, Elizabeth M., Kenneth L. Gage, Sebastian Feuerlein, & Daniel Jeong. (2019). Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques. Journal of Visualized Experiments. 4 indexed citations
15.
Jeong, Daniel, et al.. (2019). A Pictorial Essay of Immunotherapy: Complications that Internists Will See, Whether They Like it or Not. The American Journal of Medicine. 132(7). 808–815. 2 indexed citations
16.
Luu, Carrie, Ram Thapa, Trevor Rose, et al.. (2018). Identification of nonalcoholic fatty liver disease following pancreatectomy for noninvasive intraductal papillary mucinous neoplasm. International Journal of Surgery. 58. 46–49. 14 indexed citations
17.
Jeong, Daniel, Mark L. Schiebler, Peng Lai, et al.. (2015). Single breath hold 3D cardiac cine MRI using kat-ARC: preliminary results at 1.5T. International journal of cardiac imaging. 31(4). 851–857. 16 indexed citations
19.
Jeong, Daniel, Petros V. Anagnostopoulos, Alejandro Roldán‐Alzate, et al.. (2014). Ventricular kinetic energy may provide a novel noninvasive way to assess ventricular performance in patients with repaired tetralogy of Fallot. Journal of Thoracic and Cardiovascular Surgery. 149(5). 1339–1347. 56 indexed citations
20.
Mehra, Pushkar & Daniel Jeong. (2009). Maxillary sinusitis of odontogenic origin. Current Allergy and Asthma Reports. 9(3). 238–243. 95 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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