Yin Liu

7.3k citations
131 papers · 4.2k indexed · h-index 36
Topics
CRISPR and Genetic Engineering (13 papers)Advanced biosensing and bioanalysis techniques (10 papers)Immune Cell Function and Interaction (9 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Yin Liu

122 papers receiving 4.1k citations

Peers

Yin Liu
Comparison fields: 5 of 145
  • Molecular Biology 2.3k
  • Immunology 1.1k
  • Cancer Research 881
  • Oncology 639
  • Pulmonary and Respiratory Medicine 434
Replace Glen M. Boyle with:
Glen M. Boyle Australia
Shaopeng Yuan China
Jan Stenvang Denmark
Xia Lin China
Satoshi Matsuda Japan
Masakiyo Sakaguchi Japan
Mayumi Fujita United States
Manfred Kunz Germany
Anskar Y.H. Leung Hong Kong
Hermann Gram Switzerland
Yin Liu relative to Glen M. Boyle Australia Glen M. Boyle's profile →
Citations per field
00.5×
Glen M. Boyle · 1×
Citations per year

Countries citing papers authored by Yin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yin Liu. A scholar is included among the top collaborators of Yin 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 Yin Liu. Yin 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 0
2 1
3 3
4 1
5 3
6 15
7 21
8 8
9 10
10 28
11 51
12 13
13 259
14 60
15 18
16 22
17 28
18
Vav3 oncogene, a quanine nucleotide exchange factor for Rac/Rho GTPases, is a coactivator for nuclear receptors and involved in human breast cancer.
1
19 4
20
[Isolation and identification of two steroids from Sinularia inexplicita].
1

About Yin Liu

Yin Liu is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 131 papers that have together received 4.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Cancer Research (881 citations), Immunology (1.1k citations) and Molecular Biology (2.3k citations). Yin Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Raphaela Goldbach‐Mansky, Stephen Shaw, Xuming Zhang, Adriana A. de Jesus, Scott Canna, Yíngyún Caì, Hongyu Zhao, Jianfeng Li, Yongqing Chen and Fei Xing. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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