Danny Hsu
Impact in
- Organic Chemistry top 10%
- Synthesis and biological activity
- Asymmetric Synthesis and Catalysis
- Axial and Atropisomeric Chirality Synthesis
Papers in
-
- Blood groups and transfusion 3
- Platelet Disorders and Treatments 3
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- Complement system in diseases 5
- Co-authors
- Paul J. Hergenrother (4 shared papers)Chris J. Novotny (4 shared papers)Quinn P. Peterson (3 shared papers)Paul R. Carlier (6 shared papers)David R. Goode (1 shared paper)Hong‐Wu Zhao (3 shared papers)Diana C. West (3 shared papers)Timothy M. Fan (2 shared papers)
- Journals
- Blood (2 papers)Journal of the American Chemical Society (2 papers)BMC Nephrology (2 papers)ACS Combinatorial Science (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- United StatesAustraliaHong Kong
In The Last Decade
Danny Hsu
24 papers receiving 502 citations
Peers
Comparison fields: 5 of 76
- Organic Chemistry 184
- Toxicology 18
- Oncology 117
- Hematology 43
- Molecular Biology 214
Countries citing papers authored by Danny Hsu
This map shows the geographic impact of Danny Hsu'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 Danny Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Hsu more than expected).
Fields of papers citing papers by Danny Hsu
This network shows the impact of papers produced by Danny Hsu. 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 Danny Hsu. The network helps show where Danny Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 135 | |
| 2 | 2010 | 51 | |
| 3 | 2008 | 44 | |
| 4 | 2006 | 40 | |
| 5 | 2010 | 39 | |
| 6 | 2011 | 38 | |
| 7 | 2004 | 31 | |
| 8 | 2019 | 21 | |
| 9 | 2021 | 12 | |
| 10 | 2010 | 11 | |
| 11 | 2009 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2012 | 4 |
About Danny Hsu
Danny Hsu is a scholar working on Hematology, Immunology, Organic Chemistry, Molecular Biology and Nephrology, having authored 27 papers that have together received 510 indexed citations. Recurring topics across this work include Complement system in diseases (5 papers), Renal Diseases and Glomerulopathies (4 papers), Cell death mechanisms and regulation (4 papers), Asymmetric Synthesis and Catalysis (3 papers), Axial and Atropisomeric Chirality Synthesis (3 papers), Blood groups and transfusion (3 papers), Platelet Disorders and Treatments (3 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Organic Chemistry (184 citations), Toxicology (18 citations), Oncology (117 citations), Hematology (43 citations) and Molecular Biology (214 citations). Danny Hsu has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Paul J. Hergenrother, Chris J. Novotny, Quinn P. Peterson, Paul R. Carlier, David R. Goode, Hong‐Wu Zhao, Diana C. West, Timothy M. Fan, Joanna Schmit and Levent Dirikolu. Their work appears in journals such as Blood, Journal of the American Chemical Society, BMC Nephrology, ACS Combinatorial Science and Human Vaccines & Immunotherapeutics.
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.