Daniel Kwon

745 citations
15 papers · 590 · 1 hit paper · h-index 11

Impact in

Papers in

Daniel Kwon

15 papers receiving 569 citations

Daniel Kwon's Hit Papers

Structure and activity of human TMPRSS2 protease implicated in SARS-CoV-2 activation 2022 · 166 citations
1660+1+2Years since publication50100150

Peers

Daniel Kwon
Comparison fields: 5 of 61
  • Radiology, Nuclear Medicine and Imaging 181
  • Pharmaceutical Science 48
  • Infectious Diseases 115
  • Organic Chemistry 127
  • Computational Theory and Mathematics 41
Replace Maria Ölwegård-Halvarsson with:
Maria Ölwegård-Halvarsson Sweden
Matthew D. Selby United Kingdom
Kuo‐Hsiang Chuang Taiwan
Isabel Figueroa United States
Kevin L. Law United States
Federica Bucci Italy
Davide Carta Italy
Chang‐Soo Yun South Korea
Gary L. Bolton United States
William R. Jr. Cantrell United States
Daniel Kwon relative to Maria Ölwegård-Halvarsson Sweden Maria Ölwegård-Halvarsson's profile →
Citations per field
00.5×2×3×4.1×
Maria Ölwegård-Halvarsson · 1×
Citations per year

Countries citing papers authored by Daniel Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Structure and activity of human TMPRSS2 protease implicated in SARS-CoV-2 activation
Hit paper breakdown →
2022166
2 2015149
3 202070
4 202033
5 201931
6 202028
7 201925
8 201524
9 202221
10 201912
11 202111
12 202211
13 20176
14 20262
15 20251

About Daniel Kwon

Daniel Kwon is a scholar working on Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Pharmaceutical Science, Genetics and Cancer Research, having authored 15 papers that have together received 590 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (9 papers), Advanced Synthetic Organic Chemistry (2 papers), Organic Chemistry Synthesis Methods (2 papers), Fluorine in Organic Chemistry (1 paper), Synthesis and Biological Activity (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Medical Imaging Techniques and Applications (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (181 citations), Pharmaceutical Science (48 citations), Infectious Diseases (115 citations), Organic Chemistry (127 citations) and Computational Theory and Mathematics (41 citations). Daniel Kwon has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include François Bénard, Kuo‐Shyan Lin, Robert Britton, Michael T. Holmes, Joseph Lau, Daniel A. DiRocco, Erik L. Regalado, Shira D. Halperin, Louis‐Charles Campeau and Étienne Rousseau. Their work appears in journals such as Molecular Pharmaceutics, Journal of Nuclear Medicine, Organic Letters, Clinical Cancer Research and Pharmaceuticals.

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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