Ganlu Hu

712 citations
13 papers · 456 · h-index 9

Impact in

Papers in

    • Single-cell and spatial transcriptomics 5
    • Epigenetics and DNA Methylation 4
    • RNA Research and Splicing 2
    • CRISPR and Genetic Engineering 2
    • Gene expression and cancer classification 2
    • Cancer-related molecular mechanisms research 2
    • MicroRNA in disease regulation 1

Ganlu Hu

13 papers receiving 450 citations

Peers

Ganlu Hu
Comparison fields: 5 of 74
  • Cancer Research 87
  • Developmental Neuroscience 22
  • Molecular Biology 346
  • Biophysics 28
  • Cellular and Molecular Neuroscience 72
Replace Dominik C. Kaczorowski with:
Dominik C. Kaczorowski Australia
René Buschow Germany
Shin-ichi Manabe Japan
Taro Koike Japan
Nina M. Dräger United States
Songbai Zhang Sweden
Elizabeth L. Calder United States
Taha Qaiser Canada
Nicholas Van Wittenberghe United States
Yun‐Qian Gao China
Ganlu Hu relative to Dominik C. Kaczorowski Australia Dominik C. Kaczorowski's profile →
Citations per field
00.5×2.8×
Dominik C. Kaczorowski · 1×
Citations per year

Countries citing papers authored by Ganlu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ganlu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2016219
2 2016117
3 201228
4 201420
5 201417
6 202315
7 202311
8 202011
9 20238
10 20234
11 20253
12 20242
13 20171

About Ganlu Hu

Ganlu Hu is a scholar working on Molecular Biology, Cancer Research, Neurology, Physiology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 456 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), CRISPR and Genetic Engineering (2 papers), Gene expression and cancer classification (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (87 citations), Developmental Neuroscience (22 citations), Molecular Biology (346 citations), Biophysics (28 citations) and Cellular and Molecular Neuroscience (72 citations). Ganlu Hu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Guoping Fan, Zhigang Xue, Kevin Huang, Xianmin Zhu, Guizhen Du, Youjin Hu, Cun‐Yu Wang, Jinfeng Xue, Qin An and Guang‐Zhong Wang. Their work appears in journals such as Nature Communications, PLoS ONE, Scientific Reports, Human Molecular Genetics and Cell Reports.

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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