Zhenzhen Fu

61 total papers · 473 total citations
36 papers, 346 citations indexed

About

Zhenzhen Fu is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Zhenzhen Fu has authored 36 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Surgery and 11 papers in Physiology. Recurrent topics in Zhenzhen Fu's work include Lipoproteins and Cardiovascular Health (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Diet and metabolism studies (4 papers). Zhenzhen Fu is often cited by papers focused on Lipoproteins and Cardiovascular Health (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Diet and metabolism studies (4 papers). Zhenzhen Fu collaborates with scholars based in China, United States and Hungary. Zhenzhen Fu's co-authors include Tao Yang, Yingyun Gong, Panpan Yang, Ying Zhou, Hongwen Zhou, Luning Sun, Wen Hu, Wen Guo, Zhengqin Ye and Jinxiang Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Cell stem cell.

In The Last Decade

Zhenzhen Fu

32 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
Zhenzhen Fu 153 114 87 79 75 36 346
Rodrigo Martins Pereira 74 0.5× 170 1.5× 88 1.0× 60 0.8× 123 1.6× 29 385
Yanislava Karusheva 141 0.9× 173 1.5× 71 0.8× 47 0.6× 52 0.7× 27 327
Lilian Fernandes Silva 151 1.0× 100 0.9× 73 0.8× 61 0.8× 79 1.1× 22 319
Yunxia Zhu 69 0.5× 108 0.9× 72 0.8× 71 0.9× 93 1.2× 22 306
Christina Gar 102 0.7× 88 0.8× 120 1.4× 73 0.9× 57 0.8× 21 317
Mahmoud Gaballa 96 0.6× 76 0.7× 88 1.0× 48 0.6× 48 0.6× 24 358
Jana Potočková 82 0.5× 123 1.1× 71 0.8× 41 0.5× 45 0.6× 37 386
Peili Wu 129 0.8× 53 0.5× 90 1.0× 43 0.5× 46 0.6× 26 379
Irena Ponikowska 103 0.7× 79 0.7× 113 1.3× 49 0.6× 59 0.8× 30 339
Chin Meng Khoo 105 0.7× 104 0.9× 170 2.0× 58 0.7× 72 1.0× 20 356

Countries citing papers authored by Zhenzhen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenzhen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenzhen Fu

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