Sha Hu

474 total citations
12 papers, 354 citations indexed

About

Sha Hu is a scholar working on Epidemiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Sha Hu has authored 12 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Sha Hu's work include Liver Disease Diagnosis and Treatment (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Hepatitis C virus research (2 papers). Sha Hu is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Hepatitis C virus research (2 papers). Sha Hu collaborates with scholars based in China, Germany and Romania. Sha Hu's co-authors include Song Tian, Shuo Jiang, Xianglu Rong, Haonan Li, Jiao Guo, Lexun Wang, Tian Lan, Qing Zhu, Juan Wan and Ling Yang and has published in prestigious journals such as Nature Communications, Hepatology and American Journal Of Pathology.

In The Last Decade

Sha Hu

11 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sha Hu China 8 179 175 60 54 46 12 354
Shengliang Xin China 9 239 1.3× 164 0.9× 47 0.8× 64 1.2× 37 0.8× 12 409
Caoxin Huang China 12 152 0.8× 146 0.8× 40 0.7× 45 0.8× 18 0.4× 41 402
Xianling Dai China 12 111 0.6× 144 0.8× 59 1.0× 45 0.8× 20 0.4× 20 324
Hugo Christian Monroy-Ramírez Mexico 13 172 1.0× 209 1.2× 35 0.6× 59 1.1× 19 0.4× 28 527
Estefanía de Gregorio Spain 8 144 0.8× 195 1.1× 40 0.7× 35 0.6× 20 0.4× 8 470
Xiu Zhou Australia 13 171 1.0× 181 1.0× 67 1.1× 102 1.9× 21 0.5× 19 390
Fuyuan Yang China 6 149 0.8× 155 0.9× 17 0.3× 62 1.1× 18 0.4× 10 343
Lianjun Xing China 12 154 0.9× 142 0.8× 15 0.3× 75 1.4× 70 1.5× 23 357
Laura Simon‐Szabó Hungary 8 118 0.7× 136 0.8× 57 0.9× 64 1.2× 13 0.3× 10 308
Hee-Seon Park South Korea 8 94 0.5× 141 0.8× 22 0.4× 65 1.2× 30 0.7× 12 335

Countries citing papers authored by Sha Hu

Since Specialization
Citations

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

Fields of papers citing papers by Sha Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Hu

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

All Works

12 of 12 papers shown
2.
Zhang, Peng, et al.. (2025). E3 Ubiquitin Ligase TRIM7 Alleviates Lipopolysaccharide-Induced Acute Lung Injury via Inhibiting NLRP3 Inflammasome Activation. American Journal Of Pathology. 195(4). 639–651. 1 indexed citations
3.
Hu, Sha, Ruiqiang Wang, Dongxu Zhao, et al.. (2025). Trim7 aggravates ischemic stroke–associated ferroptosis by promoting ubiquitin-mediated degradation of HSPA5. Cell & Bioscience. 15(1). 142–142. 1 indexed citations
4.
Li, Wenhan, Yuhui Huang, Jing Zhao, et al.. (2024). PBRM1 presents a potential ctDNA marker to monitor response to neoadjuvant chemotherapy in cervical cancer. iScience. 27(3). 109160–109160. 3 indexed citations
5.
Hu, Sha, Zhen Liu, Fengjiao Hu, et al.. (2023). Tripartite motif 38 alleviates the pathological process of NAFLD–NASH by promoting TAB2 degradation. Journal of Lipid Research. 64(7). 100382–100382. 11 indexed citations
6.
Jiang, Lang, Jing Zhao, Mei Li, et al.. (2023). Lysosomal-associated protein transmembrane 5 ameliorates non-alcoholic steatohepatitis by promoting the degradation of CDC42 in mice. Nature Communications. 14(1). 2654–2654. 13 indexed citations
7.
Song, Jingjing, Yupeng Liu, Juan Wan, et al.. (2021). SIMPLE Is an Endosomal Regulator That Protects Against NAFLD by Targeting the Lysosomal Degradation of EGFR. Hepatology. 74(6). 3091–3109. 22 indexed citations
8.
Zhang, Xin, Hailong Yang, Shan Zeng, et al.. (2021). Melanoma differentiation—Associated gene 5 protects against NASH in mice. Hepatology. 75(4). 924–938. 10 indexed citations
9.
Lan, Tian, Yu Yang, Jing Zhang, et al.. (2021). Cordycepin Ameliorates Nonalcoholic Steatohepatitis by Activation of the AMP‐Activated Protein Kinase Signaling Pathway. Hepatology. 74(2). 686–703. 123 indexed citations
10.
Wan, Juan, Yanyan Zhang, Diqi Yang, et al.. (2021). Gastrodin Improves Nonalcoholic Fatty Liver Disease Through Activation of the Adenosine Monophosphate–Activated Protein Kinase Signaling Pathway. Hepatology. 74(6). 3074–3090. 59 indexed citations
12.
Lan, Tian, Shuo Jiang, Jing Zhang, et al.. (2021). Breviscapine alleviates NASH by inhibiting TGF‐β‐activated kinase 1‐dependent signaling. Hepatology. 76(1). 155–171. 75 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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