Songbo Fu

68 total papers · 1.3k total citations
54 papers, 760 citations indexed

About

Songbo Fu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Songbo Fu has authored 54 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Surgery. Recurrent topics in Songbo Fu's work include Bone health and osteoporosis research (5 papers), Vitamin D Research Studies (5 papers) and Cancer-related molecular mechanisms research (4 papers). Songbo Fu is often cited by papers focused on Bone health and osteoporosis research (5 papers), Vitamin D Research Studies (5 papers) and Cancer-related molecular mechanisms research (4 papers). Songbo Fu collaborates with scholars based in China, Spain and United States. Songbo Fu's co-authors include Chengxu Ma, Xiaoni Ma, Conghui Guan, Dı́dac Mauricio, Yingdong Li, Xulei Tang, Jingfang Liu, Xingyu Chang, Kuan Yang and Jie Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Songbo Fu

51 papers receiving 754 citations

Hit Papers

Cardiovascular disease in... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Songbo Fu 293 191 107 104 95 54 760
Colin Davenport 270 0.9× 157 0.8× 85 0.8× 94 0.9× 113 1.2× 49 830
Grażyna Adler 287 1.0× 109 0.6× 112 1.0× 85 0.8× 70 0.7× 86 869
Xin Su 226 0.8× 208 1.1× 83 0.8× 191 1.8× 164 1.7× 48 832
Xiaomu Kong 239 0.8× 170 0.9× 64 0.6× 92 0.9× 109 1.1× 42 709
Zhen Sun 308 1.1× 106 0.6× 79 0.7× 166 1.6× 115 1.2× 40 783
Jiaqi Chen 270 0.9× 119 0.6× 87 0.8× 123 1.2× 97 1.0× 53 669
Lihua Ni 381 1.3× 197 1.0× 148 1.4× 72 0.7× 39 0.4× 39 800
Jianying Niu 213 0.7× 93 0.5× 59 0.6× 80 0.8× 78 0.8× 54 899
Yi-Jen Hung 240 0.8× 129 0.7× 49 0.5× 98 0.9× 98 1.0× 30 700
Randa H. Mohamed 214 0.7× 93 0.5× 106 1.0× 56 0.5× 74 0.8× 42 726

Countries citing papers authored by Songbo Fu

Since Specialization
Citations

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

Fields of papers citing papers by Songbo Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songbo Fu

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