Daniel Kwon
Impact in
- Pharmaceutical Science top 5%
- Fluorine in Organic Chemistry
- Organic Chemistry top 10%
- Radical Photochemical Reactions
- Catalytic C–H Functionalization Methods
Papers in
- Oncology 7
- Chemokine receptors and signaling 4
- Peptidase Inhibition and Analysis 4
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- Medical Imaging Techniques and Applications 3
- Radiopharmaceutical Chemistry and Applications 2
- Co-authors
- François Bénard (10 shared papers)Kuo‐Shyan Lin (9 shared papers)Robert Britton (3 shared papers)Michael Holmes (2 shared papers)Joseph Lau (7 shared papers)Erik L. Regalado (1 shared paper)Louis‐Charles Campeau (1 shared paper)Daniel A. DiRocco (1 shared paper)
- Journals
- Organic Letters (2 papers)Molecular Pharmaceutics (2 papers)Cancers (1 paper)Clinical Cancer Research (1 paper)Journal of Nuclear Medicine (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Daniel Kwon
15 papers receiving 526 citations
Daniel Kwon's Hit Papers
Peers
Comparison fields: 5 of 99
- Pharmaceutical Science 68
- Organic Chemistry 150
- Infectious Diseases 94
- Radiology, Nuclear Medicine and Imaging 113
- Oncology 108
Countries citing papers authored by Daniel Kwon
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Structure and activity of human TMPRSS2 protease implicated in SARS-CoV-2 activation Hit paper breakdown → | 2022 | 134 |
| 2 | 2015 | 133 | |
| 3 | 2020 | 59 | |
| 4 | 2012 | 31 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 29 | |
| 7 | 2020 | 25 | |
| 8 | 2015 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2022 | 17 | |
| 11 | 2019 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 8 | |
| 14 | 2017 | 6 | |
| 15 | Vulnerability Analysis and Risk Assessment: For Dynamic Nonmotorized Human Travel Activity Networks | 2014 | 1 |
| 16 | 2025 | 0 |
About Daniel Kwon
Daniel Kwon is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Immunology, Organic Chemistry and Molecular Biology, having authored 16 papers that have together received 537 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (4 papers), Immunotherapy and Immune Responses (4 papers), Peptidase Inhibition and Analysis (4 papers), Medical Imaging Techniques and Applications (3 papers), Nanoplatforms for cancer theranostics (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Synthetic Organic Chemistry Methods (2 papers) and Marine Sponges and Natural Products (2 papers). The work is most often cited by research in Pharmaceutical Science (68 citations), Organic Chemistry (150 citations), Infectious Diseases (94 citations), Radiology, Nuclear Medicine and Imaging (113 citations) and Oncology (108 citations). Daniel Kwon has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include François Bénard, Kuo‐Shyan Lin, Robert Britton, Michael Holmes, Joseph Lau, Erik L. Regalado, Louis‐Charles Campeau, Daniel A. DiRocco, Shira D. Halperin and Étienne Rousseau. Their work appears in journals such as Organic Letters, Molecular Pharmaceutics, Cancers, Clinical Cancer Research and Journal of Nuclear Medicine.
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.