Liying Liu

1.4k citations
57 papers · 1.1k indexed · h-index 21
Topics
Autophagy in Disease and Therapy (7 papers)Epigenetics and DNA Methylation (5 papers)Stress Responses and Cortisol (4 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Liying Liu

55 papers receiving 1.1k citations

Peers

Liying Liu
Comparison fields: 5 of 110
  • Molecular Biology 482
  • Epidemiology 268
  • Immunology 225
  • Cancer Research 195
  • Oncology 173
Replace Barbara Ascione with:
Barbara Ascione Italy
Andrea Santeford United States
Subhajit Dasgupta United States
Jingping Hu China
Thomas MacVicar Germany
Takahisa Nakamura Japan
Gonzalo Soto‐Heredero Spain
Maria Ripoli Italy
Axel Weber Germany
Liying Liu relative to Barbara Ascione Italy Barbara Ascione's profile →
Citations per field
00.5×1.5×
Barbara Ascione · 1×
Citations per year

Countries citing papers authored by Liying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Liying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Liying Liu. A scholar is included among the top collaborators of Liying 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 Liying Liu. Liying 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 1
2 0
3 1
4 1
5 1
6 10
7 32
8 16
9 28
10 7
11 4
12 57
13
Overexpression of Cucumber CsTRY Greatly Represses Trichome Formation in Arabidopsis
4
14 11
15 7
16
Phylogenetic analysis of genus Osmanthus (Oleaceae) based on mat K sequence.
1
17 8
18 23
19 34
20 81

About Liying Liu

Liying Liu is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Immunology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Epigenetics and DNA Methylation (5 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Cancer Research (195 citations), Immunology (225 citations) and Clinical Biochemistry (56 citations). Liying Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Daolin Tang, Minghua Yang, Min Xie, Lizhi Cao, Erbin Dai, Grant McFadden, Elliot L. Chaikof, Alshad S. Lalani, Jiaxuan Chen and Bruce T. Seet. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research 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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