David Han
Impact in
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Antifungal resistance and susceptibility 5
- Co-authors
- Takao Yamazaki (5 shared papers)Amit Desai (5 shared papers)Donna Kowalski (5 shared papers)Christopher Lademacher (5 shared papers)Ronald Goldwater (7 shared papers)Robert Townsend (4 shared papers)Shahzad Akhtar (4 shared papers)Kota Kato (2 shared papers)
- Journals
- British Journal of Clinical Pharmacology (3 papers)Alzheimer s & Dementia (2 papers)Circulation (2 papers)Diabetes (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
David Han
28 papers receiving 539 citations
Peers
Comparison fields: 5 of 71
- Infectious Diseases 179
- Pharmacology 104
- Transplantation 15
- Nephrology 35
- Computational Theory and Mathematics 73
Countries citing papers authored by David Han
This map shows the geographic impact of David Han'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 David Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Han more than expected).
Fields of papers citing papers by David Han
This network shows the impact of papers produced by David Han. 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 David Han. The network helps show where David Han may publish in the future.
Co-authors
The 25 scholars most cited alongside David Han, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 103 | |
| 2 | 2016 | 68 | |
| 3 | 2016 | 42 | |
| 4 | 2012 | 38 | |
| 5 | 2020 | 34 | |
| 6 | 2016 | 33 | |
| 7 | 2017 | 33 | |
| 8 | 2020 | 25 | |
| 9 | 2017 | 25 | |
| 10 | 2016 | 23 | |
| 11 | 2014 | 20 | |
| 12 | 2019 | 18 | |
| 13 | 2020 | 14 | |
| 14 | 2023 | 12 | |
| 15 | 2016 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2016 | 6 | |
| 20 | 2022 | 5 |
About David Han
David Han is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Epidemiology and Pharmacology, having authored 28 papers that have together received 557 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Computational Drug Discovery Methods (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Cystic Fibrosis Research Advances (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Infectious Diseases (179 citations), Pharmacology (104 citations), Transplantation (15 citations), Nephrology (35 citations) and Computational Theory and Mathematics (73 citations). David Han has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Takao Yamazaki, Amit Desai, Donna Kowalski, Christopher Lademacher, Ronald Goldwater, Robert Townsend, Shahzad Akhtar, Kota Kato, Muir Russell and Larry Ereshefsky. Their work appears in journals such as British Journal of Clinical Pharmacology, Alzheimer s & Dementia, Circulation, Diabetes and Vaccine.
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.