Jing Fu

66 total papers · 1.1k total citations
47 papers, 738 citations indexed

About

Jing Fu is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jing Fu has authored 47 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Reproductive Medicine, 16 papers in Obstetrics and Gynecology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jing Fu's work include Reproductive System and Pregnancy (14 papers), Endometriosis Research and Treatment (14 papers) and Gynecological conditions and treatments (8 papers). Jing Fu is often cited by papers focused on Reproductive System and Pregnancy (14 papers), Endometriosis Research and Treatment (14 papers) and Gynecological conditions and treatments (8 papers). Jing Fu collaborates with scholars based in China, United States and Hong Kong. Jing Fu's co-authors include Wei Huang, Hengxi Chen, Shiyuan Yang, Li Xiao, Wei Huang, Yong Song, Yong Song, Min Zhou, Huili Zhu and Xue Feng and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Jing Fu

43 papers receiving 719 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Fu 376 268 266 243 120 47 738
Tianbing Ding 261 0.7× 249 0.9× 169 0.6× 151 0.6× 293 2.4× 34 905
Yosuke Ono 229 0.6× 243 0.9× 218 0.8× 105 0.4× 170 1.4× 41 650
Frank D. Yelian 163 0.4× 254 0.9× 170 0.6× 156 0.6× 144 1.2× 35 635
Jinhua Lu 312 0.8× 368 1.4× 226 0.8× 202 0.8× 330 2.8× 46 839
Andrew M. Kelleher 349 0.9× 528 2.0× 293 1.1× 185 0.8× 183 1.5× 33 831
Robert Benveniste 225 0.6× 169 0.6× 105 0.4× 214 0.9× 273 2.3× 41 874
Triin Laisk 339 0.9× 302 1.1× 154 0.6× 174 0.7× 134 1.1× 39 784
Gareth Weston 438 1.2× 215 0.8× 281 1.1× 209 0.9× 201 1.7× 33 811
Takakazu Saito 569 1.5× 160 0.6× 165 0.6× 561 2.3× 156 1.3× 28 851
Angela Köninger 222 0.6× 182 0.7× 368 1.4× 243 1.0× 132 1.1× 82 850

Countries citing papers authored by Jing Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Fu

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