Han Di
Impact in
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Viral gastroenteritis research and epidemiology 6
- Viral Infections and Vectors 5
-
- Animal Virus Infections Studies 9
- Co-authors
- Margo A. Brinton (9 shared papers)Ralph S. Baric (2 shared papers)Svetlana V. Scherbik (1 shared paper)Haifeng Liu (1 shared paper)Sean Courtney (1 shared paper)C. Todd Davis (8 shared papers)Eric Donaldson (2 shared papers)Taronna R. Maines (3 shared papers)
- Journals
- Virology (4 papers)Emerging infectious diseases (3 papers)Journal of Virology (2 papers)Virus Research (2 papers)Evidence-based Complementary and Alternative Medicine (1 paper)
- Partner nations
- United StatesKenyaGermany
In The Last Decade
Han Di
18 papers receiving 248 citations
Peers
Comparison fields: 5 of 43
- Animal Science and Zoology 86
- Infectious Diseases 130
- Agronomy and Crop Science 46
- Epidemiology 101
- Cardiology and Cardiovascular Medicine 30
Countries citing papers authored by Han Di
This map shows the geographic impact of Han Di'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 Han Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Di more than expected).
Fields of papers citing papers by Han Di
This network shows the impact of papers produced by Han Di. 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 Han Di. The network helps show where Han Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Di, 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 | 2012 | 44 | |
| 2 | 2024 | 36 | |
| 3 | 2023 | 26 | |
| 4 | 2017 | 24 | |
| 5 | 2018 | 18 | |
| 6 | 2018 | 17 | |
| 7 | 2014 | 16 | |
| 8 | 2019 | 16 | |
| 9 | 2014 | 14 | |
| 10 | 2014 | 12 | |
| 11 | 2020 | 8 | |
| 12 | 2025 | 7 | |
| 13 | 2025 | 7 | |
| 14 | 2019 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2015 | 1 | |
| 18 | 2024 | 1 | |
| 19 | Research progress of probiotic products | 2010 | 0 |
About Han Di
Han Di is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Agronomy and Crop Science and Molecular Biology, having authored 19 papers that have together received 256 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (9 papers), Influenza Virus Research Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Viral Infections and Vectors (5 papers), Respiratory viral infections research (4 papers), Animal Disease Management and Epidemiology (4 papers), RNA and protein synthesis mechanisms (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Animal Science and Zoology (86 citations), Infectious Diseases (130 citations), Agronomy and Crop Science (46 citations), Epidemiology (101 citations) and Cardiology and Cardiovascular Medicine (30 citations). Han Di has collaborated with scholars based in United States, Kenya and Germany. Frequent co-authors include Margo A. Brinton, Ralph S. Baric, Svetlana V. Scherbik, Haifeng Liu, Sean Courtney, C. Todd Davis, Eric Donaldson, Taronna R. Maines, David E. Wentworth and Yunho Jang. Their work appears in journals such as Virology, Emerging infectious diseases, Journal of Virology, Virus Research and Evidence-based Complementary and Alternative 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.