Di Hu

1.8k citations
11 papers · 1.5k · 2 hit papers · h-index 7

Impact in

    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Histone Deacetylase Inhibitors Research
    • Genomics and Chromatin Dynamics
    • Metabolism, Diabetes, and Cancer
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Microbial infections and disease research 3
    • Rabies epidemiology and control 2

Di Hu

11 papers receiving 1.4k citations

Di Hu's Hit Papers

Glucose-regulated phosphorylation of TET2 by AMPK reveals a pathway linking diabetes to cancer 2018 · 388 citations
3880+4+9Years since publication200400600

Peers

Di Hu
Comparison fields: 5 of 98
  • Molecular Biology 1.1k
  • Cancer Research 168
  • Microbiology 54
  • Virology 31
  • Hematology 70
Replace Xavier Mayol with:
Xavier Mayol Spain
Todd M. Kinsella United States
Jirouta Kitagaki Japan
Paola Chiodelli Italy
Hirokazu Hirata Japan
Céline Dumont France
Sarah Krausz Netherlands
Alison J. Darmon Canada
Katia Fecchi Italy
Philip A. Klenotic United States
Di Hu relative to Xavier Mayol Spain Xavier Mayol's profile →
Citations per field
00.5×2×3×3.9×
Xavier Mayol · 1×
Citations per year

Countries citing papers authored by Di Hu

Since Specialization
Citations

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

Fields of papers citing papers by Di Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Loss of 5-Hydroxymethylcytosine Is an Epigenetic Hallmark of Melanoma
Hit paper breakdown →
2012665
2
Glucose-regulated phosphorylation of TET2 by AMPK reveals a pathway linking diabetes to cancer
Hit paper breakdown →
2018388
3 2012224
4 201285
5 201733
6 201731
7 201917
8 20197
9 20255
10 20243
11 20242

About Di Hu

Di Hu is a scholar working on Microbiology, Virology, Molecular Biology, Epidemiology and Parasitology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Microbial infections and disease research (3 papers), Cancer-related gene regulation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Rabies epidemiology and control (2 papers), Virology and Viral Diseases (2 papers), 14-3-3 protein interactions (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (168 citations), Microbiology (54 citations), Virology (31 citations) and Hematology (70 citations). Di Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zili Li, Yuncai Xiao, Xiliang Wang, Dingren Bi, Zutao Zhou, Jie Guo, Mei Liu, Hui Jin, Jinyue Guo and Shaowen Li. Their work appears in journals such as Cell, Avian Pathology, Cell Research, Journal of genetics and genomics and Chemical Engineering Journal.

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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