Daniel Jeong

50 papers receiving 703 citations

Peers

Daniel Jeong
Comparison fields: 5 of 78
  • Otorhinolaryngology 121
  • Oral Surgery 51
  • Oncology 190
  • Radiology, Nuclear Medicine and Imaging 149
  • Pulmonary and Respiratory Medicine 115
Replace Nikhil Joshi with:
Nikhil Joshi United States
Adarsh Barwad India
Jeffrey W. Bailet United States
Bibianna Purgina Canada
Giulia Grazzini Italy
K Chao United States
Antonino Guerrisi Italy
Grégoire B. Morand Switzerland
Zhen Gooi United States
Uwe Haverkamp Germany
Daniel Jeong relative to Nikhil Joshi United States Nikhil Joshi's profile →
Citations per field
00.5×1.5×2.4×
Nikhil Joshi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Jeong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Jeong Line = papers co-authored together Daniel Jeong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019108
2 200996
3 201457
4 200847
5 201746
6 202039
7 201728
8 201821
9 201918
10 202017
11 201716
12 202116
13 201516
14 202015
15 201814
16 201714
17 201811
18 202110
19 201510
20 20169

About Daniel Jeong

Daniel Jeong is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 55 papers that have together received 716 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Cardiac Imaging and Diagnostics (5 papers), MRI in cancer diagnosis (3 papers), Cardiac tumors and thrombi (3 papers), Neuroblastoma Research and Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Otorhinolaryngology (121 citations), Oral Surgery (51 citations), Oncology (190 citations), Radiology, Nuclear Medicine and Imaging (149 citations) and Pulmonary and Respiratory Medicine (115 citations). Daniel Jeong has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Pushkar Mehra, Jin Qi, Kerry Thomas, Christopher J. François, Jhanelle E. Gray, Mark L. Schiebler, Ilke Tunali, Robert J. Gillies, Matthew B. Schabath and Mahmoud A. Abdalah. Their work appears in journals such as European Journal of Radiology, Cancer Control, Cancers, Journal of Visualized Experiments and Biology of Blood and Marrow Transplantation.

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.

Explore authors with similar magnitude of impact