Daniel Han
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
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- stochastic dynamics and bifurcation
Papers in
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- Diffusion and Search Dynamics 5
- Lipid Membrane Structure and Behavior 3
- Surgery 9
- Co-authors
- Sergei Fedotov (6 shared papers)Matthew J. Panzner (3 shared papers)Carolyn L. Cannon (3 shared papers)Wiley J. Youngs (3 shared papers)Jane B. Taylor (2 shared papers)K.M. Hindi (2 shared papers)Nickolay Korabel (4 shared papers)Julia K. Hilliard (1 shared paper)
- Journals
- Journal of Vascular Surgery (5 papers)Physical review. E (5 papers)Circulation Genomic and Precision Medicine (1 paper)Scientific Reports (1 paper)Dalton Transactions (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Daniel Han
37 papers receiving 633 citations
Peers
Comparison fields: 5 of 111
- Modeling and Simulation 57
- Statistical and Nonlinear Physics 59
- Organic Chemistry 134
- Otorhinolaryngology 17
- Internal Medicine 12
Countries citing papers authored by Daniel Han
This map shows the geographic impact of Daniel 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 Daniel Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Han more than expected).
Fields of papers citing papers by Daniel Han
This network shows the impact of papers produced by Daniel 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 Daniel Han. The network helps show where Daniel Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 145 | |
| 2 | 2009 | 71 | |
| 3 | 2020 | 47 | |
| 4 | 2013 | 40 | |
| 5 | 2008 | 37 | |
| 6 | 2018 | 28 | |
| 7 | 2019 | 20 | |
| 8 | 2011 | 20 | |
| 9 | 2008 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2010 | 16 | |
| 15 | 2011 | 15 | |
| 16 | 2011 | 15 | |
| 17 | 2023 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2021 | 11 |
About Daniel Han
Daniel Han is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Genetics, having authored 40 papers that have together received 644 indexed citations. Recurring topics across this work include Diffusion and Search Dynamics (5 papers), Fractional Differential Equations Solutions (5 papers), stochastic dynamics and bifurcation (5 papers), Genetic Associations and Epidemiology (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Lipid Membrane Structure and Behavior (3 papers), Acute Ischemic Stroke Management (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (57 citations), Statistical and Nonlinear Physics (59 citations), Organic Chemistry (134 citations), Otorhinolaryngology (17 citations) and Internal Medicine (12 citations). Daniel Han has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sergei Fedotov, Matthew J. Panzner, Carolyn L. Cannon, Wiley J. Youngs, Jane B. Taylor, K.M. Hindi, Nickolay Korabel, Julia K. Hilliard, Brian D. Wright and Andrew J. Ditto. Their work appears in journals such as Journal of Vascular Surgery, Physical review. E, Circulation Genomic and Precision Medicine, Scientific Reports and Dalton Transactions.
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.