Taijie Jin

923 total citations
9 papers, 615 citations indexed

About

Taijie Jin is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Taijie Jin has authored 9 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Oncology. Recurrent topics in Taijie Jin's work include interferon and immune responses (5 papers), Cell death mechanisms and regulation (3 papers) and Ubiquitin and proteasome pathways (3 papers). Taijie Jin is often cited by papers focused on interferon and immune responses (5 papers), Cell death mechanisms and regulation (3 papers) and Ubiquitin and proteasome pathways (3 papers). Taijie Jin collaborates with scholars based in China and United States. Taijie Jin's co-authors include Junying Yuan, Ying Li, Bing Shan, Huyan Meng, Daichao Xu, Lifeng Pan, Dimitry Ofengeim, Heling Pan, Masanori Naito and Chengyu Zou and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Taijie Jin

9 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taijie Jin China	9	455	231	108	100	79	9	615
Huibing Wang United States	8	461 1.0×	190 0.8×	131 1.2×	79 0.8×	73 0.9×	8	615
Marco Tigano United States	8	594 1.3×	137 0.6×	105 1.0×	102 1.0×	78 1.0×	14	764
Lisa Maria Mustachio United States	16	444 1.0×	127 0.5×	43 0.4×	131 1.3×	234 3.0×	27	728
André E. Simões Portugal	10	306 0.7×	171 0.7×	37 0.3×	146 1.5×	166 2.1×	10	557
Peta Wood Australia	12	464 1.0×	73 0.3×	61 0.6×	138 1.4×	67 0.8×	13	600
Milton Roy India	15	313 0.7×	181 0.8×	64 0.6×	110 1.1×	33 0.4×	20	450
Paolo Rosini Italy	7	353 0.8×	80 0.3×	50 0.5×	58 0.6×	69 0.9×	8	504
Teresa Aja Switzerland	7	548 1.2×	125 0.5×	63 0.6×	53 0.5×	89 1.1×	7	696
Selma El Messaoudi France	7	757 1.7×	148 0.6×	46 0.4×	195 1.9×	133 1.7×	7	939
Noriyo Tokuda Japan	12	411 0.9×	191 0.8×	37 0.3×	40 0.4×	58 0.7×	18	622

Countries citing papers authored by Taijie Jin

Since Specialization

Citations

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

Fields of papers citing papers by Taijie Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taijie Jin

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Dong, Kangyun, Ran Wei, Taijie Jin, et al.. (2022). HOIP modulates the stability of GPx4 by linear ubiquitination. Proceedings of the National Academy of Sciences. 119(44). e2214227119–e2214227119. 34 indexed citations

2.

Zheng, Wenjie, Zhao‐hui Yang, Taijie Jin, et al.. (2022). Strong inflammatory signatures in the neutrophils of PAMI syndrome. Frontiers in Immunology. 13. 926087–926087. 8 indexed citations

3.

Meng, Huyan, Guowei Wu, Anhui Wang, et al.. (2021). Discovery of a cooperative mode of inhibiting RIPK1 kinase. Cell Discovery. 7(1). 41–41. 16 indexed citations

4.

Zhang, Jiahui, Taijie Jin, Ivona Aksentijevich, & Qing Zhou. (2021). RIPK1-Associated Inborn Errors of Innate Immunity. Frontiers in Immunology. 12. 676946–676946. 15 indexed citations

5.

Ge, Chen, Jianhua Yi, Lin Sun, et al.. (2019). Novel Triapine Derivative Induces Copper-Dependent Cell Death in Hematopoietic Cancers. Journal of Medicinal Chemistry. 62(6). 3107–3121. 20 indexed citations

6.

Meng, Huyan, Zhen Liu, Xingyan Li, et al.. (2018). Death-domain dimerization-mediated activation of RIPK1 controls necroptosis and RIPK1-dependent apoptosis. Proceedings of the National Academy of Sciences. 115(9). E2001–E2009. 109 indexed citations

7.

Xu, Daichao, Taijie Jin, Hong Zhu, et al.. (2018). TBK1 Suppresses RIPK1-Driven Apoptosis and Inflammation during Development and in Aging. Cell. 174(6). 1477–1491.e19. 327 indexed citations

8.

Xiao, Juan, Tao Zhang, Daichao Xu, et al.. (2015). FBXL20-mediated Vps34 ubiquitination as a p53 controlled checkpoint in regulating autophagy and receptor degradation. Genes & Development. 29(2). 184–196. 67 indexed citations

9.

Zeng, Liping, Yue Yin, Chenjiang You, et al.. (2015). Evolution and protein interactions of AP2 proteins in Brassicaceae: Evidence linking development and environmental responses. Journal of Integrative Plant Biology. 58(6). 549–563. 19 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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