Xi’an Fu

91 total papers · 2.9k total citations
34 papers, 310 citations indexed

About

Xi’an Fu is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Xi’an Fu has authored 34 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 10 papers in Epidemiology and 9 papers in Molecular Biology. Recurrent topics in Xi’an Fu's work include Leprosy Research and Treatment (8 papers), Mycobacterium research and diagnosis (6 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). Xi’an Fu is often cited by papers focused on Leprosy Research and Treatment (8 papers), Mycobacterium research and diagnosis (6 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). Xi’an Fu collaborates with scholars based in China, Singapore and United Kingdom. Xi’an Fu's co-authors include Hong Liu, Furen Zhang, Gongqi Yu, Fangfang Bao, Zhenzhen Wang, Hongqing Tian, Yueqian Yu, Chuan Wang, Yongxiang Yu and Zhonghua Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xi’an Fu

31 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Xi’an Fu 117 74 73 62 48 34 310
Irena Zentsová 220 1.9× 91 1.2× 38 0.5× 65 1.0× 32 0.7× 19 366
B Gorguet 60 0.5× 39 0.5× 63 0.9× 40 0.6× 98 2.0× 34 347
S. Pérez‐Gala 89 0.8× 26 0.4× 72 1.0× 40 0.6× 105 2.2× 23 269
Pedro Rodríguez‐Jiménez 61 0.5× 57 0.8× 70 1.0× 41 0.7× 91 1.9× 46 288
Kristian Assing 108 0.9× 61 0.8× 52 0.7× 56 0.9× 22 0.5× 33 294
Yoji Hirai 83 0.7× 30 0.4× 67 0.9× 45 0.7× 116 2.4× 34 335
Takashi Yoshimasu 126 1.1× 39 0.5× 50 0.7× 29 0.5× 83 1.7× 26 345
S. Nishiyama 88 0.8× 28 0.4× 116 1.6× 32 0.5× 89 1.9× 25 330
Toshikazu Akioka 99 0.8× 25 0.3× 31 0.4× 34 0.5× 18 0.4× 34 263
Filomena Napolitano 90 0.8× 26 0.4× 36 0.5× 117 1.9× 14 0.3× 27 315

Countries citing papers authored by Xi’an Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xi’an Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi’an Fu

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