Shujun Fu

45 total papers · 909 total citations
36 papers, 641 citations indexed

About

Shujun Fu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shujun Fu has authored 36 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Shujun Fu's work include Cancer, Hypoxia, and Metabolism (6 papers), Cancer-related Molecular Pathways (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Shujun Fu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Cancer-related Molecular Pathways (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Shujun Fu collaborates with scholars based in China, United States and France. Shujun Fu's co-authors include Xiyun Deng, Ying Li, Lunquan Sun, Zhijun Zhan, Guangchun He, Chanjuan Zheng, Huimei Yi, Wenfeng Hu, Zhi Li and Junju He and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Shujun Fu

34 papers receiving 636 citations

Author Peers

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

Author						Papers	Cites
Shujun Fu	380	214	164	124	79	36	641
Yueping Zhan	427 1.1×	246 1.1×	163 1.0×	115 0.9×	116 1.5×	35	786
U‐Ging Lo	407 1.1×	192 0.9×	168 1.0×	191 1.5×	93 1.2×	24	765
Huiyu Wang	449 1.2×	177 0.8×	112 0.7×	83 0.7×	79 1.0×	35	725
Ana María Eiján	327 0.9×	172 0.8×	126 0.8×	91 0.7×	105 1.3×	54	703
Jie Zhang	312 0.8×	189 0.9×	246 1.5×	89 0.7×	45 0.6×	24	650
Ji Ma	449 1.2×	174 0.8×	184 1.1×	145 1.2×	66 0.8×	45	769
Yujue Wang	400 1.1×	207 1.0×	140 0.9×	61 0.5×	99 1.3×	47	674
Gianluca Di Cara	410 1.1×	209 1.0×	117 0.7×	61 0.5×	72 0.9×	26	765
Dandan Yuan	384 1.0×	153 0.7×	241 1.5×	97 0.8×	58 0.7×	49	776
Fengjuan Lin	275 0.7×	163 0.8×	165 1.0×	53 0.4×	104 1.3×	30	568

Countries citing papers authored by Shujun Fu

Since Specialization

Citations

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

Fields of papers citing papers by Shujun Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujun Fu

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