Guang‐Hui Liu

30.5k citations
334 papers · 14.3k indexed · 6 hit papers · h-index 61
Topics
Pluripotent Stem Cells Research (44 papers)CRISPR and Genetic Engineering (39 papers)Genetics, Aging, and Longevity in Model Organisms (31 papers)
Partner nations
ChinaUnited StatesSpain

In The Last Decade

Guang‐Hui Liu

310 papers receiving 14.1k citations

Hit Papers

JAZ repressor proteins are targets of the SCFCOI1 complex...20072026201320192007200820222020202250010001.5k

Peers

Guang‐Hui Liu
Comparison fields: 5 of 199
  • Molecular Biology 7.9k
  • Plant Science 2.7k
  • Physiology 1.8k
  • Insect Science 1.3k
  • Cancer Research 1.2k
Replace Jing Qu with:
Jing Qu China
Yau‐Huei Wei Taiwan
Yi Zhang United States
Do‐Hyung Kim South Korea
Ulf T. Brunk Sweden
Benjamin A. García United States
Jian Li China
Takashi Yamamoto Japan
Olivier Toussaint Belgium
Carmen Garrido France
Guang‐Hui Liu relative to Jing Qu China Jing Qu's profile →
Citations per field
00.5×5.7×
Jing Qu · 1×
Citations per year

Countries citing papers authored by Guang‐Hui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Hui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐Hui Liu. 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 Guang‐Hui Liu. The network helps show where Guang‐Hui Liu may publish in the future.

Co-authorship network of co-authors of Guang‐Hui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐Hui Liu. A scholar is included among the top collaborators of Guang‐Hui Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guang‐Hui Liu. Guang‐Hui Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 0
3 1
4 2
5 4
6 0
7 0
8 13
9 0
10 7
11 5
12 40
13 5
14 2
15 108
16 27
17 1
18 15
19 32
20 1

About Guang‐Hui Liu

Guang‐Hui Liu is a scholar working on Aging, Geriatrics and Gerontology and Molecular Biology, having authored 334 papers that have together received 14.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (44 papers), CRISPR and Genetic Engineering (39 papers) and Genetics, Aging, and Longevity in Model Organisms (31 papers). The work is most often cited by research in Aging (838 citations), Geriatrics and Gerontology (496 citations) and Molecular Biology (7.9k citations). Guang‐Hui Liu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Jing Qu, Juan Carlos Izpisúa Belmonte, Weiqi Zhang, Gregg A. Howe, Xun Shen, Maeli Melotto, Sheng Yang He, Bryan Thines, John Browse and Ajin Mandaokar. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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