YuHong Fu

2.7k citations
76 papers · 1.8k indexed · h-index 21

YuHong Fu

72 papers receiving 1.7k citations

Peers

YuHong Fu
Comparison fields: 5 of 125
  • Neurology 326
  • Neurology 455
  • Developmental Neuroscience 111
  • Cellular and Molecular Neuroscience 483
  • Biological Psychiatry 51
Replace Masaharu Hayashi with:
Masaharu Hayashi Japan
Bryan B. Yoo United States
Zhilin Li China
Sara Cipriani Italy
John A. Stanford United States
Maja Potokar Slovenia
Shannon Callen United States
Abbas Aliaghaei Iran
Francesco Girolamo Italy
YuHong Fu relative to Masaharu Hayashi Japan Masaharu Hayashi's profile →
Citations per field
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Masaharu Hayashi · 1×
Citations per year

Countries citing papers authored by YuHong Fu

Since Specialization
Citations

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

Fields of papers citing papers by YuHong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside YuHong 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 YuHong Fu Line = papers co-authored together YuHong Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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[Study on the population-genetics of Mycobacterium tuberculosis from Sichuan Basin in China].
20154
18
[Detection of mutations in the gyrA and gyrB genes associated with fluoroquinolone-resistance among clinical isolates of Mycobacterium abscessus in China].
20151
19
[Characteristics of soil microbial biomass carbon and soil water soluble organic carbon in the process of natural restoration of Karst forest].
20122
20 201245

About YuHong Fu

YuHong Fu is a scholar working on Developmental Neuroscience, Neurology and Neurology, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (19 papers), Alzheimer's disease research and treatments (13 papers), Neuroscience and Neuropharmacology Research (11 papers), Mycobacterium research and diagnosis (9 papers), Tuberculosis Research and Epidemiology (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Neurological disorders and treatments (7 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). The work is most often cited by research in Neurology (326 citations), Neurology (455 citations) and Developmental Neuroscience (111 citations). YuHong Fu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Glenda M. Halliday, George Paxinos, Charles Watson, Woojin S. Kim, Zoltán Rusznák, Nicolas Dzamko, Jen-Hsiang T. Hsiao, Jianqun Gao, Amanda M. Gysbers and Anita Y. Bahar. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

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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