Cheng Hu

13.6k total citations · 2 hit papers
274 papers, 6.2k citations indexed

About

Cheng Hu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Cheng Hu has authored 274 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 75 papers in Endocrinology, Diabetes and Metabolism and 63 papers in Surgery. Recurrent topics in Cheng Hu's work include Pancreatic function and diabetes (42 papers), Liver Disease Diagnosis and Treatment (31 papers) and Metabolism, Diabetes, and Cancer (31 papers). Cheng Hu is often cited by papers focused on Pancreatic function and diabetes (42 papers), Liver Disease Diagnosis and Treatment (31 papers) and Metabolism, Diabetes, and Cancer (31 papers). Cheng Hu collaborates with scholars based in China, United States and Hong Kong. Cheng Hu's co-authors include Weiping Jia, Yuqian Bao, Congrong Wang, Xuhong Hou, Xiaojing Ma, Feng Jiang, Weihui Yu, Kun‐san Xiang, Rong Zhang and Chung-Ming Chang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Cheng Hu

257 papers receiving 6.1k citations

Hit Papers

Diabetes in China: Epidemiology and Genetic Risk Factors ... 2017 2026 2020 2023 2017 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Hu China 42 2.5k 1.4k 1.2k 1.2k 1.1k 274 6.2k
Luigi Laviola Italy 42 2.2k 0.9× 1.9k 1.4× 1.4k 1.2× 876 0.7× 952 0.9× 126 6.2k
Cristina Hernández Spain 60 3.0k 1.2× 1.7k 1.2× 922 0.8× 1.7k 1.4× 760 0.7× 287 11.1k
Mark O. Goodarzi United States 47 1.8k 0.7× 1.7k 1.2× 819 0.7× 928 0.8× 1.0k 0.9× 168 7.7k
John Cijiang He United States 61 3.9k 1.6× 1.1k 0.8× 921 0.8× 945 0.8× 766 0.7× 243 10.3k
Davide Lauro Italy 50 2.5k 1.0× 1.9k 1.3× 1.9k 1.5× 1.1k 0.9× 1.5k 1.3× 206 7.3k
Hyun Chul Lee South Korea 41 1.8k 0.7× 1.8k 1.3× 1.1k 0.9× 1.7k 1.4× 925 0.8× 215 6.1k
Adam Krętowski Poland 37 1.7k 0.7× 1.1k 0.8× 959 0.8× 739 0.6× 861 0.8× 336 5.5k
Takeshi Nishikawa Japan 35 3.0k 1.2× 1.7k 1.2× 2.1k 1.7× 854 0.7× 1.1k 1.0× 109 8.1k
Lulu Chen China 39 1.9k 0.8× 1.4k 1.0× 1.1k 0.9× 1.3k 1.0× 667 0.6× 294 5.9k
Jiajun Zhao China 43 2.8k 1.1× 2.7k 1.9× 1.0k 0.8× 1.2k 1.0× 991 0.9× 335 7.5k

Countries citing papers authored by Cheng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Hu. A scholar is included among the top collaborators of Cheng 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 Cheng Hu. Cheng Hu 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
2.
Zhang, Lina, Xinyu Wang, Rong Zhang, et al.. (2025). Fam172a Mediates the Stimulation of Hypothalamic Oxytocin Neurons to Suppress Obesity‐Induced Anxiety. Advanced Science. 12(14). e2414723–e2414723.
3.
Xu, Yuejie, Ying Chen, Ningning Bai, et al.. (2025). Deubiquitinating enzyme USP2 regulates brown adipose tissue thermogenesis via controlling EBF2 stabilization. Molecular Metabolism. 96. 102139–102139. 1 indexed citations
4.
Sun, Hong‐Wei, Jing Zhang, Dandan Jiang, et al.. (2025). Ioning out glioblastoma: ferroptosis mechanisms and therapeutic frontiers. Cell Death Discovery. 11(1). 407–407.
5.
Lu, Jie, Yuejun Liu, Ni Zhang, et al.. (2024). Improvement of MASLD and MASH by suppression of hepatic N-acetyltransferase 10. Molecular Metabolism. 89. 102030–102030. 7 indexed citations
6.
Chen, Zhuo, Hong Zhang, Lina Zhang, et al.. (2024). Histone lactylation mediated by Fam172a in POMC neurons regulates energy balance. Nature Communications. 15(1). 10111–10111. 8 indexed citations
7.
Jiang, Qing, et al.. (2024). Improved cardinalized probability hypothesis density filter for multitarget tracking using formation priors. IET conference proceedings.. 2023(47). 1613–1618.
8.
Wang, Shiyun, Jingyi Lu, Rong Zhang, et al.. (2023). Interaction between haptoglobin genotype and glycemic variability on diabetic macroangiopathy: a population-based cross-sectional study. Endocrine. 82(2). 311–318. 2 indexed citations
9.
Yu, Hong‐Ren, Haoyong Yu, Rong Zhang, et al.. (2023). Targeted gene panel provides advantages over whole-exome sequencing for diagnosing obesity and diabetes mellitus. Journal of Molecular Cell Biology. 15(6). 5 indexed citations
10.
Chen, Yanhao, Xiaoshan Wu, Yongxu Zhao, et al.. (2023). Acute liver steatosis translationally controls the epigenetic regulator MIER1 to promote liver regeneration in a study with male mice. Nature Communications. 14(1). 1521–1521. 25 indexed citations
11.
Bai, Ningning, Yansu Wang, Xiaoya Li, et al.. (2023). Transcript profile of CLSTN3B gene in human white adipose tissue is associated with obesity and mitochondrial gene program. PubMed. 2(6). load037–load037. 3 indexed citations
12.
Li, Yu, Dongmei Wang, Yankang Zhang, et al.. (2022). Local hyperthermia therapy induces browning of white fat and treats obesity. Cell. 185(6). 949–966.e19. 141 indexed citations breakdown →
13.
Li, Jin, et al.. (2021). CD28 Genetic Variants Increase Susceptibility to Diabetic Kidney Disease in Chinese Patients with Type 2 Diabetes: A Cross‐Sectional Case Control Study. Mediators of Inflammation. 2021(1). 5521050–5521050. 6 indexed citations
14.
Xu, Jie, Nadeeja Wijesekara, Dana Al Rijjal, et al.. (2021). Pancreatic β cell–selective zinc transporter 8 insufficiency accelerates diabetes associated with islet amyloidosis. JCI Insight. 6(10). 19 indexed citations
16.
Ma, Xiaojing, Yuqian Bao, Jian Zhou, et al.. (2010). Defining the relationship between glycated albumin and HBA1c in individuals with a diverse spectrum of glucose metabolism. Zhonghua neifenmi daixie zazhi. 26(6). 452–455. 1 indexed citations
17.
Jia, Weiping, et al.. (2008). Characteristics of glycemic stability in subjects with different glucose tolerance:the results of continuous glucose monitoring. 31(1). 10–13.
18.
Zhou, Jian, Weiping Jia, Yuqian Bao, et al.. (2007). [Study on prevalence and risk factors of fatty liver of patients with type 2 diabetes].. PubMed. 87(32). 2249–52. 10 indexed citations
19.
Hu, Cheng, H C Hsu, Ah Kau Ng, et al.. (1989). Expression of class I and class II major histocompatibility antigens on human hepatocellular carcinoma.. Journal of Clinical Investigation. 83(2). 421–429. 31 indexed citations
20.
Chou, Chao‐Kai, L.‐T. Ho, L P Ting, et al.. (1987). Selective suppression of insulin-induced proliferation of cultured human hepatoma cells by somatostatin.. Journal of Clinical Investigation. 79(1). 175–178. 46 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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