Mark Zanin

4.6k total citations · 1 hit paper
48 papers, 1.6k citations indexed

About

Mark Zanin is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Mark Zanin has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 15 papers in Infectious Diseases and 13 papers in Molecular Biology. Recurrent topics in Mark Zanin's work include Influenza Virus Research Studies (24 papers), Respiratory viral infections research (18 papers) and Animal Disease Management and Epidemiology (9 papers). Mark Zanin is often cited by papers focused on Influenza Virus Research Studies (24 papers), Respiratory viral infections research (18 papers) and Animal Disease Management and Epidemiology (9 papers). Mark Zanin collaborates with scholars based in United States, Australia and China. Mark Zanin's co-authors include Richard J. Webby, Robert G. Webster, Pradyumna Baviskar, Sook‐San Wong, Damien J. Keating, Zifeng Yang, David Tyssen, Gilda Tachedjian, Kimberly D. Mackenzie and Stacey Schultz‐Cherry and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mark Zanin

46 papers receiving 1.6k citations

Hit Papers

The episodic resurgence of highly pathogenic avian influe... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Zanin United States 22 588 545 504 195 181 48 1.6k
Stefanie Czub Canada 25 486 0.8× 481 0.9× 947 1.9× 430 2.2× 347 1.9× 73 2.4k
Daniel Hicks United Kingdom 20 321 0.5× 437 0.8× 808 1.6× 184 0.9× 220 1.2× 45 2.0k
Yan Chai China 26 283 0.5× 367 0.7× 560 1.1× 504 2.6× 57 0.3× 72 1.7k
Shengbo Cao China 32 451 0.8× 1.2k 2.2× 794 1.6× 644 3.3× 185 1.0× 125 3.0k
Laurent Fischer France 25 974 1.7× 266 0.5× 547 1.1× 308 1.6× 116 0.6× 44 2.1k
Minoru Tobiume Japan 23 326 0.6× 403 0.7× 713 1.4× 323 1.7× 453 2.5× 54 1.6k
Sandro Grelli Italy 31 360 0.6× 415 0.8× 639 1.3× 802 4.1× 130 0.7× 101 2.2k
Bishnu P. De United States 35 1.1k 1.9× 549 1.0× 1.0k 2.0× 354 1.8× 178 1.0× 91 2.9k
Ye Wang China 28 738 1.3× 356 0.7× 825 1.6× 286 1.5× 41 0.2× 121 2.2k

Countries citing papers authored by Mark Zanin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Zanin

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Zanin. A scholar is included among the top collaborators of Mark Zanin 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 Mark Zanin. Mark Zanin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Lei, Hui, Wenjun Song, Jiaqi Wang, et al.. (2024). Amino acids in the polymerase complex of shorebird-isolated H1N1 influenza virus impact replication and host-virus interactions in mammalian models. Emerging Microbes & Infections. 13(1). 2332652–2332652. 2 indexed citations
3.
Xie, Ruopeng, Kimberly M. Edwards, Michelle Wille, et al.. (2023). The episodic resurgence of highly pathogenic avian influenza H5 virus. Nature. 622(7984). 810–817. 143 indexed citations breakdown →
4.
Kang, Min, Xiaohua Tan, Cheng Xiao, et al.. (2023). The impact of pre‐existing influenza antibodies and inflammatory status on the influenza vaccine responses in older adults. Influenza and Other Respiratory Viruses. 17(7). e13172–e13172. 4 indexed citations
5.
Zanin, Mark, Woonsung Na, Jung‐Ah Kang, et al.. (2023). Potential for transmission of naturally mutated H10N1 avian influenza virus to mammalian hosts and causing severe pulmonary disease. Frontiers in Microbiology. 14. 1256090–1256090. 1 indexed citations
6.
Kang, Min, Mark Zanin, & Sook‐San Wong. (2022). Subtype H3N2 Influenza A Viruses: An Unmet Challenge in the Western Pacific. Vaccines. 10(1). 112–112. 11 indexed citations
7.
Lin, Tao, Changbing Wang, Wanli Liang, et al.. (2022). Human adenovirus (HAdV) infection in children with acute respiratory tract infections in Guangzhou, China, 2010–2021: a molecular epidemiology study. World Journal of Pediatrics. 18(8). 545–552. 27 indexed citations
8.
Lei, Hui, Feng Ye, Xiaoqing Liu, et al.. (2020). SARS‐CoV‐2 environmental contamination associated with persistently infected COVID‐19 patients. Influenza and Other Respiratory Viruses. 14(6). 688–699. 60 indexed citations
9.
Zanin, Mark, Cheng Xiao, Tingting Liang, et al.. (2020). The public health response to the COVID-19 outbreak in mainland China: a narrative review. Journal of Thoracic Disease. 12(8). 4434–4449. 25 indexed citations
10.
Li, Runfeng, Mark Zanin, Xueshan Xia, & Zifeng Yang. (2018). The tree shrew as a model for infectious diseases research. Journal of Thoracic Disease. 10(S9). S2272–S2279. 20 indexed citations
11.
Wong, Sook‐San, Jennifer DeBeauchamp, Mark Zanin, et al.. (2017). H5N1 influenza vaccine induces a less robust neutralizing antibody response than seasonal trivalent and H7N9 influenza vaccines. npj Vaccines. 2(1). 16–16. 11 indexed citations
12.
Wong, Sook‐San, Susu Duan, Jennifer DeBeauchamp, et al.. (2017). The immune correlates of protection for an avian influenza H5N1 vaccine in the ferret model using oil-in-water adjuvants. Scientific Reports. 7(1). 44727–44727. 23 indexed citations
14.
15.
Zanin, Mark, Pradyumna Baviskar, Robert G. Webster, & Richard J. Webby. (2016). The Interaction between Respiratory Pathogens and Mucus. Cell Host & Microbe. 19(2). 159–168. 213 indexed citations
16.
Wong, Sook‐San, Mark Zanin, Min‐Suk Song, et al.. (2014). Characterization of an H4N2 influenza virus from Quails with a multibasic motif in the hemagglutinin cleavage site. Virology. 468-470. 72–80. 17 indexed citations
17.
Gillespie, Lisa N., Mark Zanin, & Robert K. Shepherd. (2014). Cell-based neurotrophin treatment supports long-term auditory neuron survival in the deaf guinea pig. Journal of Controlled Release. 198. 26–34. 15 indexed citations
18.
Fahey, Jonathan M., Mark Zanin, David Tyssen, et al.. (2007). N348I in the Connection Domain of HIV-1 Reverse Transcriptase Confers Zidovudine and Nevirapine Resistance. PLoS Medicine. 4(12). e335–e335. 138 indexed citations
19.
Zanin, Mark, Diane E. Webster, & Steve Wesselingh. (2007). A DNA prime, orally delivered protein boost vaccination strategy against viral encephalitis. Journal of NeuroVirology. 13(3). 284–289. 5 indexed citations
20.
Zanin, Mark, et al.. (2003). Japanese encephalitis vaccines: moving away from the mouse brain. Expert Review of Vaccines. 2(3). 407–416. 11 indexed citations

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.

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