Xiaofang Fu

26 total papers · 671 total citations
21 papers, 442 citations indexed

About

Xiaofang Fu is a scholar working on Epidemiology, Infectious Diseases and Hepatology. According to data from OpenAlex, Xiaofang Fu has authored 21 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 7 papers in Infectious Diseases and 4 papers in Hepatology. Recurrent topics in Xiaofang Fu's work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Xiaofang Fu is often cited by papers focused on Influenza Virus Research Studies (5 papers), Respiratory viral infections research (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Xiaofang Fu collaborates with scholars based in China, United States and United Kingdom. Xiaofang Fu's co-authors include Cheng Ding, Jie Wu, Yuqing Zhou, Shigui Yang, Xiaoxiao Liu, Chenyang Huang, Lanjuan Li, Lei Lan, Min Deng and Yiping Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Hepatology.

In The Last Decade

Xiaofang Fu

21 papers receiving 437 citations

Author Peers

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

Author						Papers	Cites
Xiaofang Fu	196	129	73	53	47	21	442
Ting Gao	158 0.8×	75 0.6×	87 1.2×	30 0.6×	30 0.6×	25	450
Ramak Shadmani	290 1.5×	66 0.5×	28 0.4×	69 1.3×	22 0.5×	12	471
Xiaomei Li	209 1.1×	67 0.5×	136 1.9×	44 0.8×	27 0.6×	22	426
Amandine Pisoni	112 0.6×	292 2.3×	50 0.7×	16 0.3×	46 1.0×	29	474
Angela Di Martino	208 1.1×	168 1.3×	41 0.6×	18 0.3×	11 0.2×	21	406
Van Hung Pham	155 0.8×	129 1.0×	75 1.0×	12 0.2×	78 1.7×	37	419
Xuewen Tang	196 1.0×	98 0.8×	14 0.2×	185 3.5×	58 1.2×	26	443
Sara Jenks	54 0.3×	221 1.7×	60 0.8×	9 0.2×	29 0.6×	19	484
Yali Xiong	192 1.0×	137 1.1×	42 0.6×	10 0.2×	158 3.4×	31	420
Marios Lazanas	164 0.8×	149 1.2×	37 0.5×	97 1.8×	26 0.6×	24	381

Countries citing papers authored by Xiaofang Fu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaofang Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofang Fu

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