Ying Hu

4.8k citations
73 papers · 1.8k · h-index 26

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Molecular Biology Techniques and Applications
    • Genomics and Phylogenetic Studies

Papers in

    • RNA Research and Splicing 10
    • Bioinformatics and Genomic Networks 7
    • Epigenetics and DNA Methylation 6
    • Molecular Biology Techniques and Applications 6
    • Gene expression and cancer classification 5
    • RNA modifications and cancer 4
    • Photosynthetic Processes and Mechanisms 4

Ying Hu

72 papers receiving 1.8k citations

Peers

Ying Hu
Comparison fields: 5 of 123
  • Cancer Research 242
  • Molecular Biology 979
  • Oncology 307
  • Genetics 274
  • Immunology 156
Replace Chao Dong with:
Chao Dong China
Huanli Xu China
Jian Cui China
Linlin Zhao China
Tomoko Tahira Japan
Yung Joon Yoo South Korea
Min Jin China
Xiaojie Li China
Mi Kwon South Korea
Ying Hu relative to Chao Dong China Chao Dong's profile →
Citations per field
00.5×1.5×2.2×
Chao Dong · 1×
Citations per year

Countries citing papers authored by Ying Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017157
2 2014145
3 200985
4 201781
5 201779
6 201464
7 202348
8 200747
9 201245
10 201544
11 201440
12 201639
13 202338
14 200638
15 201635
16 201235
17 201334
18 201834
19 200633
20 202132

About Ying Hu

Ying Hu is a scholar working on Molecular Biology, Genetics, Plant Science, Oncology and Cancer Research, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Bioinformatics and Genomic Networks (7 papers), Epigenetics and DNA Methylation (6 papers), Molecular Biology Techniques and Applications (6 papers), Gene expression and cancer classification (5 papers), Prostate Cancer Treatment and Research (4 papers), RNA modifications and cancer (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Cancer Research (242 citations), Molecular Biology (979 citations), Oncology (307 citations), Genetics (274 citations) and Immunology (156 citations). Ying Hu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Chunhua Yan, Kenneth H. Buetow, Maxwell P. Lee, Howard H. Yang, Daoud Meerzaman, Kent W. Hunter, Qingrong Chen, George A. Komatsoulis, Chih-Hao Hsu and Yanli Li. Their work appears in journals such as PLoS Genetics, PLoS ONE, BMC Genomics, Scientific Reports and Frontiers in Plant Science.

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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