Dahu Li

897 citations
14 papers · 368 · h-index 10

Impact in

    • Meat and Animal Product Quality
  • Food Science top 10%
    • Proteins in Food Systems
    • Microencapsulation and Drying Processes
    • Essential Oils and Antimicrobial Activity

Papers in

    • Epigenetics and DNA Methylation 2
    • Ubiquitin and proteasome pathways 1
    • High Altitude and Hypoxia 3
    • Mesenchymal stem cell research 2

Dahu Li

13 papers receiving 368 citations

Peers

Dahu Li
Comparison fields: 5 of 76
  • Animal Science and Zoology 76
  • Food Science 93
  • Cancer Research 50
  • Endocrine and Autonomic Systems 22
  • Biochemistry 19
Replace Astrid Fabbro with:
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Zhanqin Zhang China
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Eduardo Larequi Spain
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Dahu Li relative to Astrid Fabbro Italy Astrid Fabbro's profile →
Citations per field
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Astrid Fabbro · 1×
Citations per year

Countries citing papers authored by Dahu Li

Since Specialization
Citations

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

Fields of papers citing papers by Dahu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020119
2 201746
3 201838
4 201928
5 201527
6 201526
7 201425
8 201720
9 201716
10 201816
11 20084
12 20122
13
[Establishment and evaluation of a murine model of brain injury induced by high altitude hypoxic inflammation].
20161
14 20250

About Dahu Li

Dahu Li is a scholar working on Molecular Biology, Genetics, Physiology, Genetics and Cancer Research, having authored 14 papers that have together received 368 indexed citations. Recurring topics across this work include High Altitude and Hypoxia (3 papers), MicroRNA in disease regulation (3 papers), Adipose Tissue and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers), Mesenchymal stem cell research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Animal Science and Zoology (76 citations), Food Science (93 citations), Cancer Research (50 citations), Endocrine and Autonomic Systems (22 citations) and Biochemistry (19 citations). Dahu Li has collaborated with scholars based in China, New Zealand and France. Frequent co-authors include Xiaoqi Tao, Juncai Tu, Yi Jiang, Zhaoming Wang, Dong Zhang, Yujie Zhong, Wei Huang, Xin Huang, Ming Fan and Liying Wu. Their work appears in journals such as Biochemical and Biophysical Research Communications, European Journal of Lipid Science and Technology, Archives of Civil and Mechanical Engineering, Cellular and Molecular Life Sciences and Neuroscience Bulletin.

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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