Shichen Hu

524 total citations
9 papers, 395 citations indexed

About

Shichen Hu is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Shichen Hu has authored 9 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Shichen Hu's work include Autophagy in Disease and Therapy (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Cellular transport and secretion (3 papers). Shichen Hu is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Cellular transport and secretion (3 papers). Shichen Hu collaborates with scholars based in China and United States. Shichen Hu's co-authors include Lifeng Pan, Yingli Wang, Jianping Liu, Yukang Gong, Yujiao Guo, Tao Fu, Zixuan Zhou, Xingqiao Xie, Junying Yuan and Daichao Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Shichen Hu

9 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shichen Hu China	9	254	201	101	54	50	9	395
Robert W. Button United Kingdom	8	190 0.7×	213 1.1×	71 0.7×	32 0.6×	46 0.9×	12	407
Ming-Yuan Su China	12	376 1.5×	254 1.3×	155 1.5×	43 0.8×	62 1.2×	19	589
Su Ran Mun South Korea	9	278 1.1×	200 1.0×	117 1.2×	31 0.6×	22 0.4×	11	420
Tobias Bock-Bierbaum Germany	4	180 0.7×	209 1.0×	87 0.9×	17 0.3×	22 0.4×	5	311
Helene Knævelsrud Norway	9	200 0.8×	298 1.5×	184 1.8×	33 0.6×	26 0.5×	15	450
Fabian den Brave Germany	13	438 1.7×	165 0.8×	150 1.5×	30 0.6×	21 0.4×	24	540
Cheryl L. Meyerkord United States	9	303 1.2×	223 1.1×	177 1.8×	22 0.4×	23 0.5×	9	514
Jonas B. Michaelis Germany	8	320 1.3×	134 0.7×	112 1.1×	38 0.7×	11 0.2×	11	468
Léa P. Wilhelm United Kingdom	9	289 1.1×	102 0.5×	180 1.8×	20 0.4×	25 0.5×	10	457
Birol Cabukusta Netherlands	9	257 1.0×	101 0.5×	208 2.1×	35 0.6×	24 0.5×	17	466

Countries citing papers authored by Shichen Hu

Since Specialization

Citations

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

Fields of papers citing papers by Shichen Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shichen Hu

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

All Works

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9 of 9 papers shown

1.

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

2.

Fu, Tao, Ying Han, Shichen Hu, et al.. (2020). Probing Protein–Protein Interactions with Label-Free Mass Spectrometry Quantification in Combination with Affinity Purification by Spin-Tip Affinity Columns. Analytical Chemistry. 92(5). 3913–3922. 22 indexed citations

3.

Hu, Shichen, Yujiao Guo, Yingli Wang, et al.. (2019). Structure of Myosin VI/Tom1 complex reveals a cargo recognition mode of Myosin VI for tethering. Nature Communications. 10(1). 24 indexed citations

4.

Hu, Shichen, Yingli Wang, Yukang Gong, et al.. (2018). Mechanistic Insights into Recognitions of Ubiquitin and Myosin VI by Autophagy Receptor TAX1BP1. Journal of Molecular Biology. 430(18). 3283–3296. 18 indexed citations

5.

Fu, Tao, Jianping Liu, Yingli Wang, et al.. (2018). Mechanistic insights into the interactions of NAP1 with the SKICH domains of NDP52 and TAX1BP1. Proceedings of the National Academy of Sciences. 115(50). 46 indexed citations

6.

Xu, Daichao, Yingli Wang, Zixuan Zhou, et al.. (2018). Structural insights into the ubiquitin recognition by OPTN (optineurin) and its regulation by TBK1-mediated phosphorylation. Autophagy. 14(1). 66–79. 90 indexed citations

7.

Liu, Jianping, Yingli Wang, Yukang Gong, et al.. (2017). Structural Insights into SHARPIN-Mediated Activation of HOIP for the Linear Ubiquitin Chain Assembly. Cell Reports. 21(1). 27–36. 38 indexed citations

8.

Xie, Xingqiao, Yingli Wang, Jianping Liu, et al.. (2016). Structural insights into the interaction and disease mechanism of neurodegenerative disease-associated optineurin and TBK1 proteins. Nature Communications. 7(1). 12708–12708. 89 indexed citations

9.

Cheng, Xiaofang, Yingli Wang, Yukang Gong, et al.. (2016). Structural basis of FYCO1 and MAP1LC3A interaction reveals a novel binding mode for Atg8-family proteins. Autophagy. 12(8). 1330–1339. 52 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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