Jun‐Seok Lee

6.2k citations
228 papers · 4.9k · h-index 40

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 21
    • Chemical Synthesis and Analysis 15
    • RNA Interference and Gene Delivery 8
    • Click Chemistry and Applications 38

Jun‐Seok Lee

216 papers receiving 4.9k citations

Peers

Jun‐Seok Lee
Comparison fields: 5 of 173
  • Spectroscopy 755
  • Organic Chemistry 1.1k
  • Biophysics 154
  • Molecular Biology 1.8k
  • General Engineering 27
Replace Peter D. J. Grootenhuis with:
Peter D. J. Grootenhuis Netherlands
Jie Zhang China
Xun Li China
Ying Tan China
Yuhong Liu China
Xin Zhao China
Jerry Yang United States
Tapas K. Kundu India
Xiaoliang Wang China
Xu Wang China
Jun‐Seok Lee relative to Peter D. J. Grootenhuis Netherlands Peter D. J. Grootenhuis's profile →
Citations per field
00.5×7.7×
Peter D. J. Grootenhuis · 1×
Citations per year

Countries citing papers authored by Jun‐Seok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Seok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009201
2 2015190
3 2015177
4 2016136
5 2017127
6 2004126
7 2014113
8 200699
9 202297
10 201594
11 201192
12 200992
13 201790
14 200779
15 202078
16 200974
17 201967
18 201062
19 200862
20 201761

About Jun‐Seok Lee

Jun‐Seok Lee is a scholar working on Molecular Biology, Organic Chemistry, Biomedical Engineering, Materials Chemistry and Spectroscopy, having authored 228 papers that have together received 4.9k indexed citations. Recurring topics across this work include Click Chemistry and Applications (38 papers), Advanced biosensing and bioanalysis techniques (21 papers), Luminescence and Fluorescent Materials (20 papers), Molecular Sensors and Ion Detection (19 papers), Chemical Synthesis and Analysis (15 papers), Nanoplatforms for cancer theranostics (11 papers), RNA Interference and Gene Delivery (8 papers) and Alzheimer's disease research and treatments (8 papers). The work is most often cited by research in Spectroscopy (755 citations), Organic Chemistry (1.1k citations), Biophysics (154 citations), Molecular Biology (1.8k citations) and General Engineering (27 citations). Jun‐Seok Lee has collaborated with scholars based in South Korea, Singapore and United States. Frequent co-authors include Young‐Tae Chang, Yun Kyung Kim, Dhiraj P. Murale, Marc Vendrell, Shao Q. Yao, Md. Mamunul Haque, Zhengqiu Li, Seong Cheol Hong, Jae Wook Lee and Nam‐Young Kang. Their work appears in journals such as Angewandte Chemie International Edition, Chemical Communications, Materials, Scientific Reports and International Journal of Molecular Sciences.

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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