Suxiang Tong

175 total papers · 28.1k total citations
85 papers, 3.7k citations indexed

About

Suxiang Tong is a scholar working on Infectious Diseases, Epidemiology and Animal Science and Zoology. According to data from OpenAlex, Suxiang Tong has authored 85 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Infectious Diseases, 29 papers in Epidemiology and 19 papers in Animal Science and Zoology. Recurrent topics in Suxiang Tong's work include SARS-CoV-2 and COVID-19 Research (20 papers), Animal Virus Infections Studies (19 papers) and Viral Infections and Vectors (18 papers). Suxiang Tong is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (20 papers), Animal Virus Infections Studies (19 papers) and Viral Infections and Vectors (18 papers). Suxiang Tong collaborates with scholars based in United States, China and Australia. Suxiang Tong's co-authors include Larry J. Anderson, Ying Tao, Tyrrell Conway, Ivan V. Kuzmin, Mark A. Pallansch, Yàn Li, Shur-Wern Wang Chern, Krista Queen, Richard W. Compans and Yan Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Suxiang Tong

82 papers receiving 3.7k citations

Hit Papers

Emergence of SARS-CoV-2 B... 2021 2026 2022 2024 2021 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Suxiang Tong 2.4k 1.0k 696 611 427 85 3.7k
Barry Rockx 3.5k 1.5× 1.3k 1.3× 805 1.2× 468 0.8× 842 2.0× 107 4.5k
Pablo R. Murcia 1.5k 0.6× 1.8k 1.7× 393 0.6× 460 0.8× 281 0.7× 83 3.2k
Adam S. Lauring 2.6k 1.1× 1.3k 1.2× 531 0.8× 1.4k 2.3× 406 1.0× 98 5.1k
Xing‐Lou Yang 4.2k 1.8× 474 0.5× 1.1k 1.6× 462 0.8× 448 1.0× 72 5.3k
Danielle E. Anderson 2.1k 0.9× 586 0.6× 355 0.5× 466 0.8× 303 0.7× 64 3.0k
Shuo Su 3.2k 1.3× 1.4k 1.4× 1.2k 1.7× 751 1.2× 361 0.8× 120 5.2k
Xing‐Yi Ge 2.4k 1.0× 340 0.3× 924 1.3× 620 1.0× 253 0.6× 81 3.5k
Markus Eickmann 2.6k 1.1× 947 0.9× 474 0.7× 571 0.9× 276 0.6× 74 4.1k
Elke Mühlberger 4.9k 2.1× 1.8k 1.8× 373 0.5× 902 1.5× 407 1.0× 100 6.1k
Azaibi Tamin 2.2k 0.9× 1.6k 1.5× 480 0.7× 471 0.8× 240 0.6× 40 3.1k

Countries citing papers authored by Suxiang Tong

Since Specialization
Citations

This map shows the geographic impact of Suxiang Tong'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 Suxiang Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suxiang Tong more than expected).

Fields of papers citing papers by Suxiang Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suxiang Tong. 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 Suxiang Tong. The network helps show where Suxiang Tong may publish in the future.

Co-authorship network of co-authors of Suxiang Tong

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

All Works

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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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