Huijia Fu

21 total papers · 454 total citations
13 papers, 191 citations indexed

About

Huijia Fu is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Immunology. According to data from OpenAlex, Huijia Fu has authored 13 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Obstetrics and Gynecology, 5 papers in Pediatrics, Perinatology and Child Health and 4 papers in Immunology. Recurrent topics in Huijia Fu's work include Pregnancy and preeclampsia studies (6 papers), Gestational Diabetes Research and Management (3 papers) and Assisted Reproductive Technology and Twin Pregnancy (3 papers). Huijia Fu is often cited by papers focused on Pregnancy and preeclampsia studies (6 papers), Gestational Diabetes Research and Management (3 papers) and Assisted Reproductive Technology and Twin Pregnancy (3 papers). Huijia Fu collaborates with scholars based in China, Australia and United Kingdom. Huijia Fu's co-authors include Philip N. Baker, Li Wen, Chao Tong, Hongbo Qi, Jiaxiao Yu, Richard Saffery, Zhi Chen, Mark D. Kilby, Ping Xu and Jiayu Huang and has published in prestigious journals such as Molecular Therapy, Aging Cell and Diabetes Research and Clinical Practice.

In The Last Decade

Huijia Fu

13 papers receiving 187 citations

Author Peers

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

Author						Papers	Cites
Huijia Fu	81	55	55	47	27	13	191
Jianxia Fan	71 0.9×	37 0.7×	76 1.4×	70 1.5×	32 1.2×	17	189
Jiaxiao Yu	116 1.4×	85 1.5×	24 0.4×	41 0.9×	31 1.1×	10	254
Qitao Zhan	71 0.9×	66 1.2×	32 0.6×	73 1.6×	62 2.3×	15	258
Giuseppe Gabriele Iorio	61 0.8×	59 1.1×	35 0.6×	33 0.7×	113 4.2×	21	239
S. Szabo	112 1.4×	68 1.2×	63 1.1×	25 0.5×	23 0.9×	9	171
Federica Tarquini	138 1.7×	69 1.3×	84 1.5×	42 0.9×	39 1.4×	14	240
Chunyan Zhu	131 1.6×	98 1.8×	16 0.3×	52 1.1×	37 1.4×	18	244
Herbst Al	48 0.6×	35 0.6×	24 0.4×	39 0.8×	44 1.6×	16	261
Kilian Vellvé	93 1.1×	144 2.6×	11 0.2×	40 0.9×	36 1.3×	13	249
Pooneh Nikuei	100 1.2×	77 1.4×	43 0.8×	35 0.7×	9 0.3×	16	160

Countries citing papers authored by Huijia Fu

Since Specialization

Citations

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

Fields of papers citing papers by Huijia Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huijia Fu

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