Zhenhui Song

46 total papers · 527 total citations
34 papers, 389 citations indexed

About

Zhenhui Song is a scholar working on Infectious Diseases, Animal Science and Zoology and Genetics. According to data from OpenAlex, Zhenhui Song has authored 34 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 20 papers in Animal Science and Zoology and 11 papers in Genetics. Recurrent topics in Zhenhui Song's work include Viral gastroenteritis research and epidemiology (19 papers), Animal Virus Infections Studies (19 papers) and Virus-based gene therapy research (10 papers). Zhenhui Song is often cited by papers focused on Viral gastroenteritis research and epidemiology (19 papers), Animal Virus Infections Studies (19 papers) and Virus-based gene therapy research (10 papers). Zhenhui Song collaborates with scholars based in China and Australia. Zhenhui Song's co-authors include Haibo Feng, Jing Fan, Xiaogang Du, Ying Chen, Peng Yuan, Kai Wang, Ling Ran, Yujia Wang, Xiaomin Hu and Binhui Jiang and has published in prestigious journals such as Journal of Virology, Carbohydrate Polymers and Frontiers in Microbiology.

In The Last Decade

Zhenhui Song

30 papers receiving 386 citations

Author Peers

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

Author						Papers	Cites
Zhenhui Song	122	114	92	68	63	34	389
Sizhu Suolang	160 1.3×	101 0.9×	55 0.6×	55 0.8×	33 0.5×	38	404
T.P. Karnezos	98 0.8×	58 0.5×	165 1.8×	87 1.3×	62 1.0×	30	404
Andrea Laconi	60 0.5×	206 1.8×	185 2.0×	55 0.8×	47 0.7×	38	423
D.P. Isore	59 0.5×	65 0.6×	59 0.6×	102 1.5×	38 0.6×	37	349
Rajkumari Sanjukta	104 0.9×	71 0.6×	42 0.5×	73 1.1×	28 0.4×	36	350
Laura Fiorentini	40 0.3×	97 0.9×	154 1.7×	129 1.9×	77 1.2×	26	391
Rinku Sharma	113 0.9×	40 0.4×	66 0.7×	56 0.8×	145 2.3×	63	410
Jin-Hui Su	203 1.7×	65 0.6×	91 1.0×	167 2.5×	44 0.7×	13	428
Md Rezaul Karim	42 0.3×	59 0.5×	91 1.0×	91 1.3×	68 1.1×	54	394
Reena Mukherjee	55 0.5×	45 0.4×	50 0.5×	131 1.9×	46 0.7×	50	410

Countries citing papers authored by Zhenhui Song

Since Specialization

Citations

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

Fields of papers citing papers by Zhenhui Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenhui Song

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