Dae‐Goon Yoo

1.6k citations
26 papers · 1.4k · h-index 20

Impact in

Papers in

    • Immunotherapy and Immune Responses 10
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 9
    • Immune Response and Inflammation 5
    • Immune Cell Function and Interaction 3
    • Advancements in Transdermal Drug Delivery 9

Dae‐Goon Yoo

26 papers receiving 1.3k citations

Peers

Dae‐Goon Yoo
Comparison fields: 5 of 88
  • Pharmaceutical Science 529
  • Dermatology 354
  • Immunology 667
  • Biotechnology 107
  • Epidemiology 356
Replace Jae-Min Song with:
Jae-Min Song United States
Darin Zehrung United States
John B. Johnson United States
Raymond J. Jackson United States
E. H. Relyveld France
Jun‐ichi Maeyama Japan
Sae‐Hae Kim South Korea
Elisabetta Monaci Italy
Hans B. Lomholt Denmark
Teena Mohan India
Dae‐Goon Yoo relative to Jae-Min Song United States Jae-Min Song's profile →
Citations per field
00.5×1.5×
Jae-Min Song · 1×
Citations per year

Countries citing papers authored by Dae‐Goon Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Goon Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010110
2 2012108
3 200997
4 200996
5 200989
6 200987
7 201081
8 201275
9 201673
10 201363
11 201261
12 201061
13 201256
14 200956
15 201349
16 201746
17 201640
18 201140
19 201029
20 201928

About Dae‐Goon Yoo

Dae‐Goon Yoo is a scholar working on Immunology, Pharmaceutical Science, Epidemiology, Dermatology and Molecular Biology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), Advancements in Transdermal Drug Delivery (9 papers), Influenza Virus Research Studies (6 papers), Dermatology and Skin Diseases (5 papers), Immune Response and Inflammation (5 papers), Immune Cell Function and Interaction (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Pharmaceutical Science (529 citations), Dermatology (354 citations), Immunology (667 citations), Biotechnology (107 citations) and Epidemiology (356 citations). Dae‐Goon Yoo has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Sang‐Moo Kang, Richard W. Compans, Fu‐Shi Quan, Mark R. Prausnitz, Jae-Min Song, Yeu‐Chun Kim, Balázs Rada, Hyo‐Jick Choi, Brian Bondy and Yeu‐Chun Kim. Their work appears in journals such as The Journal of Immunology, Journal of Virology, PLoS ONE, Journal of Visualized Experiments and Journal of Controlled Release.

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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