Fanya Zeng

30 total papers · 1.2k total citations
27 papers, 851 citations indexed

About

Fanya Zeng is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Fanya Zeng has authored 27 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 14 papers in Animal Science and Zoology and 6 papers in Epidemiology. Recurrent topics in Fanya Zeng's work include Animal Virus Infections Studies (14 papers), Viral gastroenteritis research and epidemiology (11 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Fanya Zeng is often cited by papers focused on Animal Virus Infections Studies (14 papers), Viral gastroenteritis research and epidemiology (11 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Fanya Zeng collaborates with scholars based in Hong Kong, China and New Zealand. Fanya Zeng's co-authors include Chung-Chau Hon, Tommy Tsan‐Yuk Lam, Alexei J. Drummond, Frederick Chi-Ching Leung, Frederick C. Leung, Chi Wai Yip, Zheng‐Li Shi, Malik Peiris, Ken Y.C. Chow and Kwok Hung Chan and has published in prestigious journals such as Journal of Virology, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Fanya Zeng

27 papers receiving 833 citations

Author Peers

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

Author						Papers	Cites
Fanya Zeng	438	315	282	141	96	27	851
B. Engström	317 0.7×	417 1.3×	192 0.7×	79 0.6×	112 1.2×	28	802
Faruku Bande	435 1.0×	338 1.1×	115 0.4×	89 0.6×	74 0.8×	31	728
Diane Larsen	494 1.1×	191 0.6×	206 0.7×	56 0.4×	46 0.5×	35	818
Yuan Lin	248 0.6×	125 0.4×	565 2.0×	105 0.7×	58 0.6×	26	833
Zhuoming Qin	261 0.6×	252 0.8×	435 1.5×	84 0.6×	37 0.4×	37	703
Weicheng Ye	445 1.0×	237 0.8×	137 0.5×	100 0.7×	57 0.6×	55	815
Cheng‐Yao Yang	308 0.7×	189 0.6×	248 0.9×	231 1.6×	55 0.6×	50	775
Mark A. Goodwin	325 0.7×	460 1.5×	308 1.1×	51 0.4×	54 0.6×	53	956
F. G. Davelaar	469 1.1×	637 2.0×	237 0.8×	72 0.5×	101 1.1×	29	1.0k
Nadya Urakova	609 1.4×	208 0.7×	92 0.3×	151 1.1×	43 0.4×	21	800

Countries citing papers authored by Fanya Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Fanya Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanya Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Fanya Zeng. A scholar is included among the top collaborators of Fanya Zeng 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 Fanya Zeng. Fanya Zeng 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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