Daniel Tsung‐Ning Huang
- Epidemiology top 5%
- Infectious Diseases top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Immunology
- Co-authors
- Luan‐Yin ChangHsin ChiLi‐Min HuangNan‐Chang ChiuChun‐Yi LuChao HuangTzou‐Yien LinLung Chang
- Topics
- Pneumonia and Respiratory Infections (19 papers)Respiratory viral infections research (17 papers)Bacterial Infections and Vaccines (11 papers)
- Partner nations
- TaiwanUnited StatesBelgium
In The Last Decade
Daniel Tsung‐Ning Huang
72 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Epidemiology 753
- Infectious Diseases 686
- Cardiology and Cardiovascular Medicine 265
- Molecular Biology 176
- Immunology 171
Countries citing papers authored by Daniel Tsung‐Ning Huang
This map shows the geographic impact of Daniel Tsung‐Ning Huang'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 Tsung‐Ning Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tsung‐Ning Huang more than expected).
Fields of papers citing papers by Daniel Tsung‐Ning Huang
This network shows the impact of papers produced by Daniel Tsung‐Ning Huang. 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 Tsung‐Ning Huang. The network helps show where Daniel Tsung‐Ning Huang may publish in the future.
Co-authorship network of co-authors of Daniel Tsung‐Ning Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tsung‐Ning Huang. A scholar is included among the top collaborators of Daniel Tsung‐Ning Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Tsung‐Ning Huang. Daniel Tsung‐Ning Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 29 | |
| 8 | 4 | |
| 9 | Implementation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 (REMAP-COVID) trial in a US health system-lessons learned and recommendationsm (vol 22, 100, 2021) | 1 |
| 10 | 27 | |
| 11 | 15 | |
| 12 | 17 | |
| 13 | 23 | |
| 14 | 9 | |
| 15 | 44 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 40 | |
| 19 | 5 | |
| 20 | 17 |
About Daniel Tsung‐Ning Huang
Daniel Tsung‐Ning Huang is a scholar working on Microbiology, Infectious Diseases and Epidemiology, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (19 papers), Respiratory viral infections research (17 papers) and Bacterial Infections and Vaccines (11 papers). The work is most often cited by research in Infectious Diseases (686 citations), Microbiology (142 citations) and Epidemiology (753 citations). Daniel Tsung‐Ning Huang has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Luan‐Yin Chang, Hsin Chi, Li‐Min Huang, Nan‐Chang Chiu, Chun‐Yi Lu, Chao Huang, Tzou‐Yien Lin, Lung Chang, Shao-Hsuan Hsia and Pei‐Lan Shao. Their work appears in journals such as New England Journal of Medicine, Journal of the American Chemical Society and Blood.
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.