Yaoji Liang

1.3k total citations
10 papers, 1.0k citations indexed

About

Yaoji Liang is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Yaoji Liang has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Yaoji Liang's work include Cell death mechanisms and regulation (6 papers), interferon and immune responses (3 papers) and RNA regulation and disease (2 papers). Yaoji Liang is often cited by papers focused on Cell death mechanisms and regulation (6 papers), interferon and immune responses (3 papers) and RNA regulation and disease (2 papers). Yaoji Liang collaborates with scholars based in China and United States. Yaoji Liang's co-authors include Jiahuai Han, Chuan‐Qi Zhong, Jianfeng Wu, Hengxiao Ni, Qiuyu Zhuang, Suqin Wu, Lisheng Li, Wanze Chen, Zhentao Yang and Xin Chen and has published in prestigious journals such as Nature, Neuron and Nature Cell Biology.

In The Last Decade

Yaoji Liang

10 papers receiving 996 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yaoji Liang China 8 784 416 183 109 105 10 1.0k
Suqin Wu China 12 802 1.0× 475 1.1× 190 1.0× 137 1.3× 126 1.2× 22 1.1k
Allie Maltzman France 8 1.0k 1.3× 588 1.4× 164 0.9× 133 1.2× 115 1.1× 9 1.2k
Rohit Reja United States 14 981 1.3× 312 0.8× 90 0.5× 93 0.9× 79 0.8× 19 1.2k
Matija Zelic United States 11 1.0k 1.3× 788 1.9× 156 0.9× 133 1.2× 193 1.8× 13 1.4k
Travis Lear United States 17 476 0.6× 215 0.5× 103 0.6× 81 0.7× 64 0.6× 29 722
Martin Ehrenschwender Germany 18 621 0.8× 415 1.0× 140 0.8× 152 1.4× 213 2.0× 32 1.0k
Tatyana Divert Belgium 7 610 0.8× 429 1.0× 104 0.6× 97 0.9× 190 1.8× 11 815
Greet Brouckaert Belgium 6 688 0.9× 446 1.1× 171 0.9× 118 1.1× 117 1.1× 6 994
Veronika Redmann United States 8 349 0.4× 711 1.7× 271 1.5× 88 0.8× 137 1.3× 8 1.1k
Jun Ki Hong China 8 675 0.9× 494 1.2× 99 0.5× 272 2.5× 209 2.0× 18 1.1k

Countries citing papers authored by Yaoji Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yaoji Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoji Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoji Liang. A scholar is included among the top collaborators of Yaoji Liang 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 Yaoji Liang. Yaoji Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Li, Shijie, Shijie Wang, Yaoji Liang, et al.. (2023). Development and characterization of anti-IL-5 monoclonal antibody Fab fragment for blocking IL-5/IL-5Rα binding. International Immunopharmacology. 124(Pt B). 111032–111032. 1 indexed citations
2.
Wang, Ruicong, Hongda Li, Jianfeng Wu, et al.. (2020). Gut stem cell necroptosis by genome instability triggers bowel inflammation. Nature. 580(7803). 386–390. 212 indexed citations
3.
Yang, Daowei, Yaoji Liang, Shubo Zhao, et al.. (2019). ZBP1 mediates interferon-induced necroptosis. Cellular and Molecular Immunology. 17(4). 356–368. 129 indexed citations
4.
Ma, Huabin, Zeyuan Liu, Chuan‐Qi Zhong, et al.. (2019). Inactivation of Cyclic AMP Response Element Transcription Caused by Constitutive p38 Activation Is Mediated by Hyperphosphorylation-Dependent CRTC2 Nucleocytoplasmic Transport. Molecular and Cellular Biology. 39(9). 2 indexed citations
5.
Liang, Yaoji, Min Liu, Kun Zhang, et al.. (2019). Nucleoporin Seh1 Interacts with Olig2/Brd7 to Promote Oligodendrocyte Differentiation and Myelination. Neuron. 102(3). 587–601.e7. 61 indexed citations
6.
Yang, Zhentao, Yan Wang, Yingying Zhang, et al.. (2018). RIP3 targets pyruvate dehydrogenase complex to increase aerobic respiration in TNF-induced necroptosis. Nature Cell Biology. 20(2). 186–197. 226 indexed citations
7.
Zheng, Min, Yaoji Liang, Suqin Wu, et al.. (2015). Recognition of Cytosolic DNA Attenuates Glucose Metabolism and Induces AMPK Mediated Energy Stress Response. International Journal of Biological Sciences. 11(5). 587–594. 8 indexed citations
8.
Wu, Suqin, Yaoji Liang, Xiaojuan Zhou, et al.. (2015). RIP1/RIP3 Binding to HSV-1 ICP6 Initiates Necroptosis to Restrict Virus Propagation in Mice. Cell Host & Microbe. 17(2). 229–242. 214 indexed citations
9.
Chen, Wanze, Jianfeng Wu, Lisheng Li, et al.. (2015). Ppm1b negatively regulates necroptosis through dephosphorylating Rip3. Nature Cell Biology. 17(4). 434–444. 129 indexed citations
10.
Li, Lisheng, Wanze Chen, Yaoji Liang, et al.. (2014). The Gβγ-Src signaling pathway regulates TNF-induced necroptosis via control of necrosome translocation. Cell Research. 24(4). 417–432. 24 indexed citations

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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