Liu Yan-hu

3.1k citations
24 papers · 591 indexed · h-index 12

Liu Yan-hu

22 papers receiving 582 citations

Peers

Liu Yan-hu
Comparison fields: 5 of 106
  • Genetics 332
  • Virology 38
  • Small Animals 47
  • Geography, Planning and Development 29
  • Cancer Research 69
Replace Hechuan Yang with:
Hechuan Yang China
Abhirami Ratnakumar United States
Maja L. Arendt Sweden
Ruoxi Fan China
Melissa Gray United States
Marta G. Castelhano United States
Jennifer Madeoy United States
C. Schelling Switzerland
Alison L. Ruhe United States
Xingbo Zhao China
Liu Yan-hu relative to Hechuan Yang China Hechuan Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Liu Yan-hu

Since Specialization
Citations

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

Fields of papers citing papers by Liu Yan-hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liu Yan-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 Liu Yan-hu. The network helps show where Liu Yan-hu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20232
4 202210
5 202219
6 20217
7 202129
8 202137
9 20208
10 201612
11
Research on Enhance of Polyethylene Composite and Its Thermal Neutron Shielding Performance by Borate Whisker
20152
12 2015198
13 201522
14 201511
15
Hot Deformation Behavior and Constitutive Relationship of Biomedical TC20 Alloy
20142
16 201413
17 201459
18
Market Survey and Analysis of Gas Water Heaters in Beijing
20121
19
Research and Application of Enterprise Application Integration Based on Service-Oriented Architecture
20100
20 20081

About Liu Yan-hu

Liu Yan-hu is a scholar working on Genetics, Small Animals and Neurology, having authored 24 papers that have together received 591 indexed citations. Recurring topics across this work include Human-Animal Interaction Studies (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (3 papers), Genetic Syndromes and Imprinting (2 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic diversity and population structure (2 papers), Cancer-related molecular mechanisms research (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Genetics (332 citations), Virology (38 citations) and Small Animals (47 citations). Liu Yan-hu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ya‐Ping Zhang, Guodong Wang, Lu Wang, David M. Irwin, Hechuan Yang, Peter Savolainen, Tingting Yin, Hannes Lohi, Weiwei Zhai and Chunling Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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