Dae Yoon

2.5k citations
72 papers · 2.1k · h-index 24

Impact in

Papers in

Dae Yoon

69 papers receiving 2.0k citations

Peers

Dae Yoon
Comparison fields: 5 of 99
  • Pharmaceutical Science 742
  • Catalysis 390
  • Organic Chemistry 1.1k
  • Inorganic Chemistry 375
  • Radiology, Nuclear Medicine and Imaging 392
Replace Dae Yoon with:
Dae Yoon South Korea
Edward G. Robins United Kingdom
Lisheng Cai United States
Xin Cheng China
Kazunori Miyamoto Japan
Christophe Génicot Belgium
Benjamin H. Rotstein Canada
Sean Preshlock United States
Constanze N. Neumann United States
Chaofeng Huang China
Dae Yoon relative to Dae Yoon South Korea Dae Yoon's profile →
Citations per field
00.5×
Dae Yoon · 1×
Citations per year

Countries citing papers authored by Dae Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Dae Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006261
2 2002221
3 2003146
4 2008145
5 2016136
6 201084
7 200662
8 200762
9 201154
10 201040
11 201437
12 201035
13 200435
14 200835
15 200034
16 201033
17 200833
18 201232
19 199631
20 201429

About Dae Yoon

Dae Yoon is a scholar working on Organic Chemistry, Molecular Biology, Pharmaceutical Science, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 72 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fluorine in Organic Chemistry (19 papers), Radiopharmaceutical Chemistry and Applications (13 papers), Medical Imaging Techniques and Applications (10 papers), Chemical Synthesis and Analysis (10 papers), Chemical Synthesis and Reactions (9 papers), Ionic liquids properties and applications (6 papers), Click Chemistry and Applications (6 papers) and Prostate Cancer Treatment and Research (5 papers). The work is most often cited by research in Pharmaceutical Science (742 citations), Catalysis (390 citations), Organic Chemistry (1.1k citations), Inorganic Chemistry (375 citations) and Radiology, Nuclear Medicine and Imaging (392 citations). Dae Yoon has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Dong Wook Kim, Choong Eui Song, Sungyul Lee, Seung Jun Oh, Myung‐Hee Sohn, Seok Tae Lim, John A. Katzenellenbogen, Sang Ju Lee, Byoung Se Lee and Hee Seup Kil. Their work appears in journals such as The Journal of Organic Chemistry, Tetrahedron, Applied Radiation and Isotopes, Tetrahedron Letters and Organic & Biomolecular Chemistry.

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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