Jaetae Lee

7.2k citations
237 papers · 5.6k · h-index 39

Impact in

Papers in

Jaetae Lee

221 papers receiving 5.6k citations

Peers

Jaetae Lee
Comparison fields: 5 of 139
  • Cancer Research 903
  • Endocrinology, Diabetes and Metabolism 683
  • Radiology, Nuclear Medicine and Imaging 756
  • Molecular Medicine 173
  • Immunology 659
Replace Byeong‐Cheol Ahn with:
Byeong‐Cheol Ahn South Korea
Kyung-Han Lee South Korea
M. Zabel Poland
Jeanette M. Wood Switzerland
Süleyman Ergün Germany
Kathleen L. Gabrielson United States
Günter Emons Germany
John Hood United States
Kevin P. Claffey United States
Caroline Bouzin Belgium
Jaetae Lee relative to Byeong‐Cheol Ahn South Korea Byeong‐Cheol Ahn's profile →
Citations per field
00.5×10×13.3×
Byeong‐Cheol Ahn · 1×
Citations per year

Countries citing papers authored by Jaetae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jaetae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jaetae Lee, 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 Jaetae Lee Line = papers co-authored together Jaetae Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017400
2 2018234
3 2013186
4 2017170
5 2017147
6 2000138
7 2018123
8 2012116
9 201899
10 201793
11 201883
12 200974
13 201371
14 201368
15 201465
16 201264
17 201062
18 201760
19 202060
20 201660

About Jaetae Lee

Jaetae Lee is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 237 papers that have together received 5.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (39 papers), Radiopharmaceutical Chemistry and Applications (17 papers), Extracellular vesicles in disease (17 papers), Immunotherapy and Immune Responses (15 papers), Medical Imaging Techniques and Applications (14 papers), RNA Interference and Gene Delivery (13 papers), Medical Imaging and Pathology Studies (12 papers) and Nanoplatforms for cancer theranostics (11 papers). The work is most often cited by research in Cancer Research (903 citations), Endocrinology, Diabetes and Metabolism (683 citations), Radiology, Nuclear Medicine and Imaging (756 citations), Molecular Medicine (173 citations) and Immunology (659 citations). Jaetae Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Byeong‐Cheol Ahn, Shin Young Jeong, Sang‐Woo Lee, Prakash Gangadaran, Ji Min Oh, Ho‐Won Lee, S Kalimuthu, Liya Zhu, Se Hwan Baek and Chae Moon Hong. Their work appears in journals such as Thyroid, Nuclear Medicine and Biology, Nuclear Medicine Communications, Scientific Reports and PLoS ONE.

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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