Feibiao Song

56 total papers · 689 total citations
35 papers, 465 citations indexed

About

Feibiao Song is a scholar working on Aquatic Science, Cell Biology and Genetics. According to data from OpenAlex, Feibiao Song has authored 35 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Aquatic Science, 11 papers in Cell Biology and 9 papers in Genetics. Recurrent topics in Feibiao Song's work include Aquaculture Nutrition and Growth (11 papers), melanin and skin pigmentation (11 papers) and Aquaculture disease management and microbiota (8 papers). Feibiao Song is often cited by papers focused on Aquaculture Nutrition and Growth (11 papers), melanin and skin pigmentation (11 papers) and Aquaculture disease management and microbiota (8 papers). Feibiao Song collaborates with scholars based in China, Taiwan and Tanzania. Feibiao Song's co-authors include Lanmei Wang, Zaijie Dong, Wenbin Zhu, Jianjun Fu, Nian Liu, Hui Yang, Junlong Sun, Jian Luo, Liping Shi and Kaixi Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Feibiao Song

30 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
Feibiao Song	183	152	141	124	112	35	465
Mingkun Luo	194 1.1×	128 0.8×	162 1.1×	103 0.8×	129 1.2×	34	456
Yamei Xiao	143 0.8×	116 0.8×	96 0.7×	51 0.4×	275 2.5×	47	521
Liangyue Peng	115 0.6×	88 0.6×	89 0.6×	42 0.3×	158 1.4×	38	406
Zhiying Jia	134 0.7×	61 0.4×	129 0.9×	42 0.3×	142 1.3×	44	441
Chen Sun	140 0.8×	35 0.2×	67 0.5×	55 0.4×	161 1.4×	19	432
Prince Masahito	130 0.7×	57 0.4×	28 0.2×	75 0.6×	185 1.7×	28	456
Fabricio Andrés Vigliano	249 1.4×	23 0.2×	144 1.0×	73 0.6×	47 0.4×	21	444
Bao Lou	113 0.6×	25 0.2×	134 1.0×	41 0.3×	120 1.1×	49	445
Xin Wen	197 1.1×	32 0.2×	156 1.1×	51 0.4×	107 1.0×	45	501
Wenjie Guo	103 0.6×	10 0.1×	145 1.0×	73 0.6×	154 1.4×	31	474

Countries citing papers authored by Feibiao Song

Since Specialization

Citations

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

Fields of papers citing papers by Feibiao Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feibiao Song

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