Taebum Lee

1.4k citations
65 papers · 912 · h-index 19

Impact in

    • Phytochemicals and Antioxidant Activities
    • Antioxidant Activity and Oxidative Stress
    • Ammonia Synthesis and Nitrogen Reduction

Papers in

Taebum Lee

59 papers receiving 876 citations

Peers

Taebum Lee
Comparison fields: 5 of 111
  • Biochemistry 82
  • Catalysis 62
  • Energy Engineering and Power Technology 24
  • Pulmonary and Respiratory Medicine 178
  • Oncology 137
Replace Xinwei Dong with:
Xinwei Dong China
Xiya Lu China
Masaru Kondo Japan
Yoshiaki Shimizu Japan
S. TSUCHIYA Japan
Su Zhang China
Wei Ding China
Manfred Becker Germany
Katsumi Yamamoto Japan
Yonis Ahmed United States
Taebum Lee relative to Xinwei Dong China Xinwei Dong's profile →
Citations per field
00.5×7.8×
Xinwei Dong · 1×
Citations per year

Countries citing papers authored by Taebum Lee

Since Specialization
Citations

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

Fields of papers citing papers by Taebum Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200976
2 201672
3 201657
4 200845
5 201244
6 201538
7 201636
8 201636
9 201635
10 200932
11 202232
12 202230
13 202327
14 202026
15 201125
16 201524
17 201020
18 201219
19 201918
20 201518

About Taebum Lee

Taebum Lee is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology and Surgery, having authored 65 papers that have together received 912 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer Genomics and Diagnostics (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), AI in cancer detection (4 papers), Phytochemicals and Antioxidant Activities (4 papers) and Food Quality and Safety Studies (3 papers). The work is most often cited by research in Biochemistry (82 citations), Catalysis (62 citations), Energy Engineering and Power Technology (24 citations), Pulmonary and Respiratory Medicine (178 citations) and Oncology (137 citations). Taebum Lee has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Michael L. McKee, Joungho Han, Yoon‐La Choi, Boram Lee, Myung‐Ju Ahn, Se‐Hoon Lee, Sang‐Won Um, Anne E. V. Gorden, Sang Yun Ha and Audrey V. Gamble. Their work appears in journals such as Journal of Clinical Oncology, Inorganic Chemistry, Pathology, The Journal of Organic Chemistry and ESMO Open.

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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