Changying Fu

21 total papers · 1.0k total citations
13 papers, 621 citations indexed

About

Changying Fu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Changying Fu has authored 13 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Changying Fu's work include Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Changying Fu is often cited by papers focused on Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Changying Fu collaborates with scholars based in China, United States and Hong Kong. Changying Fu's co-authors include Guo Chen, Yanfang Chen, Zhe Han, Lei Liu, Yuequan Shen, Xinqi Liu, Xiangyu Cai, Yushan Zhu, Li Huang and Hao Wu and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Changying Fu

13 papers receiving 615 citations

Hit Papers

A Regulatory Signaling Lo... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Changying Fu 422 329 75 68 63 13 621
Jiangwei Zhang 310 0.7× 213 0.6× 71 0.9× 66 1.0× 83 1.3× 17 562
Pablo Sánchez‐Martín 387 0.9× 372 1.1× 135 1.8× 59 0.9× 67 1.1× 14 669
Julie Lavie 504 1.2× 250 0.8× 74 1.0× 67 1.0× 100 1.6× 18 784
Hye-Hyun Ahn 333 0.8× 360 1.1× 83 1.1× 39 0.6× 135 2.1× 9 776
Masa-aki Muramatsu 409 1.0× 174 0.5× 101 1.3× 38 0.6× 47 0.7× 13 685
Jonathan P. Bernardini 445 1.1× 207 0.6× 61 0.8× 91 1.3× 36 0.6× 13 607
Shunji Chi 571 1.4× 161 0.5× 156 2.1× 46 0.7× 82 1.3× 9 767
Yoshimi Hiraumi 412 1.0× 250 0.8× 59 0.8× 45 0.7× 111 1.8× 18 626
Qing-Jun Zhang 455 1.1× 197 0.6× 49 0.7× 62 0.9× 37 0.6× 10 707
Danilo Faccenda 566 1.3× 219 0.7× 99 1.3× 162 2.4× 74 1.2× 19 728

Countries citing papers authored by Changying Fu

Since Specialization
Citations

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

Fields of papers citing papers by Changying Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changying Fu

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