Mark Zanin
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- HIV/AIDS drug development and treatment
- SARS-CoV-2 and COVID-19 Research
Papers in
- Epidemiology 32
- Influenza Virus Research Studies 31
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- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Richard J. Webby (18 shared papers)Robert G. Webster (9 shared papers)Sook‐San Wong (25 shared papers)Pradyumna S. Baviskar (2 shared papers)Damien J. Keating (9 shared papers)Zifeng Yang (8 shared papers)David P. Tyssen (2 shared papers)Gilda Tachedjian (2 shared papers)
- Journals
- Journal of Virology (7 papers)Nature Communications (4 papers)Influenza and Other Respiratory Viruses (3 papers)Viruses (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Mark Zanin
58 papers receiving 3.3k citations
Mark Zanin's Hit Papers
Peers
Comparison fields: 5 of 153
- Modeling and Simulation 740
- Infectious Diseases 575
- Health Informatics 66
- Epidemiology 724
- Cell Biology 114
Countries citing papers authored by Mark Zanin
This map shows the geographic impact of Mark Zanin'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 Mark Zanin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Zanin more than expected).
Fields of papers citing papers by Mark Zanin
This network shows the impact of papers produced by Mark Zanin. 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 Mark Zanin. The network helps show where Mark Zanin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Zanin, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions Hit paper breakdown → | 2020 | 1024 |
| 2 | 2016 | 244 | |
| 3 | The episodic resurgence of highly pathogenic avian influenza H5 virus Hit paper breakdown → | 2023 | 219 |
| 4 | 2020 | 217 | |
| 5 | 2020 | 210 | |
| 6 | 2007 | 146 | |
| 7 | 2010 | 146 | |
| 8 | 2015 | 94 | |
| 9 | 2008 | 91 | |
| 10 | 2017 | 71 | |
| 11 | 2011 | 70 | |
| 12 | 2020 | 63 | |
| 13 | 2020 | 48 | |
| 14 | 2012 | 44 | |
| 15 | 2015 | 40 | |
| 16 | 2015 | 40 | |
| 17 | 2022 | 40 | |
| 18 | 2012 | 39 | |
| 19 | 2021 | 38 | |
| 20 | 2013 | 32 |
About Mark Zanin
Mark Zanin is a scholar working on Epidemiology, Infectious Diseases, Cell Biology, Modeling and Simulation and Sensory Systems, having authored 60 papers that have together received 3.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (31 papers), Cellular transport and secretion (6 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Pancreatic function and diabetes (2 papers), Mosquito-borne diseases and control (2 papers), Mitochondrial Function and Pathology (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Modeling and Simulation (740 citations), Infectious Diseases (575 citations), Health Informatics (66 citations), Epidemiology (724 citations) and Cell Biology (114 citations). Mark Zanin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Richard J. Webby, Robert G. Webster, Sook‐San Wong, Pradyumna S. Baviskar, Damien J. Keating, Zifeng Yang, David P. Tyssen, Gilda Tachedjian, Kimberly D. Mackenzie and Mariette Ducatez. Their work appears in journals such as Journal of Virology, Nature Communications, Influenza and Other Respiratory Viruses, Viruses and PLoS ONE.
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.