Yang Hu

5.1k citations
155 papers · 3.7k · h-index 34

Impact in

Papers in

    • Bioinformatics and Genomic Networks 19
    • Machine Learning in Bioinformatics 13
    • RNA modifications and cancer 7
    • Biomedical Text Mining and Ontologies 7
    • Genetic Associations and Epidemiology 23

Yang Hu

152 papers receiving 3.7k citations

Peers

Yang Hu
Comparison fields: 5 of 149
  • Neurology 362
  • Periodontics 104
  • Cancer Research 326
  • Molecular Biology 1.6k
  • Neurology 170
Replace Lina Chen with:
Lina Chen China
Hao Jiang United States
Runan Yao United States
John H. Walker United Kingdom
Chin-Wen Ho Taiwan
Li Cao China
Dongmin Jung South Korea
Wenli Yang China
Hideaki Suzuki Japan
Zhibin Wang China
Yang Hu relative to Lina Chen China Lina Chen's profile →
Citations per field
00.5×
Lina Chen · 1×
Citations per year

Countries citing papers authored by Yang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014286
2 2018211
3 2020112
4 201899
5 201883
6 201380
7 201675
8 202174
9 201474
10 201672
11 202067
12 201867
13 201564
14 201859
15 201858
16 201755
17 201654
18 202052
19 201952
20 201648

About Yang Hu

Yang Hu is a scholar working on Molecular Biology, Genetics, Neurology, Epidemiology and Immunology, having authored 155 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (23 papers), Bioinformatics and Genomic Networks (19 papers), Machine Learning in Bioinformatics (13 papers), Parkinson's Disease Mechanisms and Treatments (12 papers), Oral microbiology and periodontitis research (8 papers), RNA modifications and cancer (7 papers), Olfactory and Sensory Function Studies (7 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Neurology (362 citations), Periodontics (104 citations), Cancer Research (326 citations), Molecular Biology (1.6k citations) and Neurology (170 citations). Yang Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liang Cheng, Tianyi Zhao, Meng Zhou, Qinghua Jiang, Jie Sun, Guiyou Liu, Shuyang Yu, Tianyi Zang, Lijun Zuo and Jiajie Peng. Their work appears in journals such as Scientific Reports, Frontiers in Genetics, Frontiers in Cell and Developmental Biology, BMC Bioinformatics and Journal of Alzheimer s Disease.

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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