Young Do Kwon

56 papers receiving 3.2k citations

Hit Papers

Structural Basis for Broad and Potent Neutralization of HIV-1 by Antibody VRC01 2010 · 821 citations
8212010202620152020250500750

Peers

Young Do Kwon
Comparison fields: 5 of 135
  • Virology 1.8k
  • Infectious Diseases 946
  • Immunology 910
  • Radiology, Nuclear Medicine and Imaging 647
  • Molecular Biology 1.2k
Replace Tae Hoon Lee with:
Tae Hoon Lee Canada
Andreas S. Baur Germany
Hironori Yoshiyama Japan
Stephen Todryk United Kingdom
Yong Guo China
George J. Klarmann United States
Danuta Kozbor United States
Ype P. de Jong United States
Scott A. Hammond United States
Tri Giang Phan Australia
Young Do Kwon relative to Tae Hoon Lee Canada Tae Hoon Lee's profile →
Citations per field
00.5×3.2×
Tae Hoon Lee · 1×
Citations per year

Countries citing papers authored by Young Do Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Young Do Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Do Kwon. 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 Young Do Kwon. The network helps show where Young Do Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structural Basis for Broad and Potent Neutralization of HIV-1 by Antibody VRC01
Hit paper breakdown →
2010821
2 2009257
3 2012197
4 2010166
5 2003158
6 2015150
7 2008134
8 199781
9 200981
10 201276
11 201274
12 200572
13 201070
14 201166
15 200364
16 201063
17 200157
18 201554
19 201753
20 201347

About Young Do Kwon

Young Do Kwon is a scholar working on Virology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Equine and Genetics, having authored 58 papers that have together received 3.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (25 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), HIV/AIDS drug development and treatment (16 papers), Immune Cell Function and Interaction (6 papers), Robotic Path Planning Algorithms (5 papers), Glycosylation and Glycoproteins Research (5 papers), Mesenchymal stem cell research (3 papers) and Vehicle Dynamics and Control Systems (3 papers). The work is most often cited by research in Virology (1.8k citations), Infectious Diseases (946 citations), Immunology (910 citations), Radiology, Nuclear Medicine and Imaging (647 citations) and Molecular Biology (1.2k citations). Young Do Kwon has collaborated with scholars based in United States, South Korea and Russia. Frequent co-authors include Peter D. Kwong, Joseph Sodroski, Tongqing Zhou, Yongping Yang, John R. Mascola, Xueling Wu, Andrés Finzi, Jiang Zhu, Lawrence Shapiro and Michel C. Nussenzweig. Their work appears in journals such as Journal of Medicinal Chemistry, Structure, mAbs, Proceedings of the National Academy of Sciences and Journal of Molecular Biology.

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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