Hui Fu

3.3k citations
62 papers · 2.2k indexed · h-index 26

Impact in

Papers in

    • Neurogenesis and neuroplasticity mechanisms 14
    • Anesthesia and Neurotoxicity Research 4
    • Neuroinflammation and Neurodegeneration Mechanisms 11

Hui Fu

61 papers receiving 2.2k citations

Peers

Hui Fu
Comparison fields: 5 of 130
  • Developmental Neuroscience 697
  • Neurology 359
  • Biological Psychiatry 77
  • Cellular and Molecular Neuroscience 434
  • Cancer Research 313
Replace Feng‐Yan Sun with:
Feng‐Yan Sun China
Michelle F. Anderson Sweden
Luigi Formisano Italy
Bin Cheng China
Shuzhen Guo United States
Aiguo Xuan China
Kellie K. Bowen United States
Mara D’Onofrio Italy
Ding‐I Yang Taiwan
Sunghee Cho United States
Hui Fu relative to Feng‐Yan Sun China Feng‐Yan Sun's profile →
Citations per field
00.5×1.5×1.9×
Feng‐Yan Sun · 1×
Citations per year

Countries citing papers authored by Hui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hui Fu Line = papers co-authored together Hui Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 202417
3 20241
4 20234
5 202210
6 202122
7 202027
8 202020
9 201936
10 201621
11 201497
12 201266
13 201193
14 201164
15 201115
16 201055
17 201046
18 200368
19 2002176
20 2001300

About Hui Fu

Hui Fu is a scholar working on Developmental Neuroscience, Neurology, Sensory Systems, Cellular and Molecular Neuroscience and Cancer Research, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Epigenetics and DNA Methylation (9 papers), MicroRNA in disease regulation (7 papers), Congenital heart defects research (5 papers), Anesthesia and Neurotoxicity Research (4 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Developmental Neuroscience (697 citations), Neurology (359 citations), Biological Psychiatry (77 citations), Cellular and Molecular Neuroscience (434 citations) and Cancer Research (313 citations). Hui Fu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jun Cai, Mengsheng Qiu, Yingchuan Qi, Jianguo Chen, Fang Wang, Rui Wu, Min Tan, Wen‐Ning Wu, John L.R. Rubenstein and Yuanyuan Wu. Their work appears in journals such as Journal of Neuroscience, Cellular and Molecular Neurobiology, Molecular and Cellular Biology, European Journal of Pharmacology and ESC Heart Failure.

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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