Lan Hu

2.0k total citations
37 papers, 1.5k citations indexed

About

Lan Hu is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Lan Hu has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Epidemiology. Recurrent topics in Lan Hu's work include Mitochondrial Function and Pathology (5 papers), Retinoids in leukemia and cellular processes (3 papers) and Ubiquitin and proteasome pathways (3 papers). Lan Hu is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Retinoids in leukemia and cellular processes (3 papers) and Ubiquitin and proteasome pathways (3 papers). Lan Hu collaborates with scholars based in China, United States and Australia. Lan Hu's co-authors include Lorraine J. Gudas, David L. Crowe, James G. Rheinwald, Donna J. Webb, Devi Majumdar, Pierre Chambon, Caroline A. Nebhan, Adam M. Wegner, Alissa M. Weaver and Gabriel Goldberger and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The EMBO Journal.

In The Last Decade

Lan Hu

36 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan Hu China 19 990 255 232 229 190 37 1.5k
Cagri G. Besirli United States 29 1.3k 1.3× 137 0.5× 162 0.7× 185 0.8× 249 1.3× 125 2.5k
J.H. Xiao France 10 1.1k 1.1× 395 1.5× 127 0.5× 154 0.7× 77 0.4× 11 1.6k
T. Neil Dear United Kingdom 26 1.1k 1.1× 343 1.3× 168 0.7× 358 1.6× 213 1.1× 42 1.9k
Gregor Kirfel Germany 24 709 0.7× 95 0.4× 105 0.5× 400 1.7× 121 0.6× 47 1.5k
Coralia Luna United States 26 993 1.0× 90 0.4× 480 2.1× 204 0.9× 84 0.4× 35 2.1k
Annelii Ny Belgium 21 514 0.5× 146 0.6× 218 0.9× 272 1.2× 148 0.8× 37 1.6k
Colleen S. Stein United States 20 1.3k 1.3× 1.0k 4.0× 159 0.7× 227 1.0× 166 0.9× 35 2.3k
Sylvia L. Anderson United States 19 832 0.8× 156 0.6× 94 0.4× 197 0.9× 343 1.8× 37 1.9k
Christoph S. Clemen Germany 29 1.4k 1.4× 93 0.4× 125 0.5× 856 3.7× 254 1.3× 89 2.1k
Jae‐Kyun Ko United States 18 993 1.0× 54 0.2× 129 0.6× 233 1.0× 150 0.8× 33 1.4k

Countries citing papers authored by Lan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Hu. A scholar is included among the top collaborators of Lan 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 Lan Hu. Lan 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
1.
Jin, Lei, Li Guo, Shengzhi Yang, et al.. (2023). Gastrointestinal microbiome, resistance genes, and risk assessment of heavy metals in wild giant pandas. The Science of The Total Environment. 899. 165671–165671. 7 indexed citations
2.
Hu, Lan, Hao Wu, Tian Jiang, et al.. (2021). pVHL promotes lysosomal degradation of YAP in lung adenocarcinoma. Cellular Signalling. 83. 110002–110002. 4 indexed citations
3.
Li, Yian, et al.. (2020). A case report of neonatal orbital peripheral primitive neuroectodermal tumor and literature review. European Journal of Ophthalmology. 31(5). NP65–NP73. 1 indexed citations
5.
Zhu, Ying, Catherine E. Grueber, Yan Li, et al.. (2020). MHC-associated Baylisascaris schroederi load informs the giant panda reintroduction program. International Journal for Parasitology Parasites and Wildlife. 12. 113–120. 6 indexed citations
6.
Xu, Min, Lan Hu, Heyu Huang, et al.. (2019). Etiology and Clinical Features of Full-Term Neonatal Bacterial Meningitis: A Multicenter Retrospective Cohort Study. Frontiers in Pediatrics. 7. 31–31. 25 indexed citations
7.
Wu, Hao, Shushu Song, Lei Chang, et al.. (2019). RACK1 promotes the invasive activities and lymph node metastasis of cervical cancer via galectin-1. Cancer Letters. 469. 287–300. 61 indexed citations
8.
Brock, Graham, Elena Castellanos-Rizaldos, Lan Hu, Christine M. Coticchia, & Johan Skog. (2018). Liquid biopsy for cancer screening, patient stratification and monitoring. Translational Cancer Research. 4(3). 280–290. 76 indexed citations
9.
Wang, Lihua, Tong Zhang, Lin Wang, et al.. (2017). Fatty acid synthesis is critical for stem cell pluripotency via promoting mitochondrial fission. The EMBO Journal. 36(10). 1330–1347. 108 indexed citations
10.
Wang, Minjie, Jie Lin, Lan Hu, et al.. (2017). Spatiotemporal expression patterns of chondroitin sulfate proteoglycan mRNAs in the developing rat brain. Neuroreport. 29(7). 517–523. 8 indexed citations
11.
Zhao, Zhenqiang, Yanlin Ma, Zhibin Chen, et al.. (2016). Effects of Feeder Cells on Dopaminergic Differentiation of Human Embryonic Stem Cells. Frontiers in Cellular Neuroscience. 10. 291–291. 4 indexed citations
12.
Cao, Yang, Wenting Guo, Xiaoping He, et al.. (2015). miR‐290/371‐Mbd2‐Myc circuit regulates glycolytic metabolism to promote pluripotency. The EMBO Journal. 34(5). 609–623. 75 indexed citations
13.
Deng, Yingping, Yi Sun, Lan Hu, et al.. (2015). Chondroitin sulfate proteoglycans impede myelination by oligodendrocytes after perinatal white matter injury. Experimental Neurology. 269. 213–223. 23 indexed citations
14.
Sanidas, Ioannis, Christos Polytarchou, Maria Hatziapostolou, et al.. (2014). Phosphoproteomics Screen Reveals Akt Isoform-Specific Signals Linking RNA Processing to Lung Cancer. Molecular Cell. 53(4). 577–590. 94 indexed citations
15.
Majumdar, Devi, et al.. (2011). An APPL1/Akt signaling complex regulates dendritic spine and synapse formation in hippocampal neurons. Molecular and Cellular Neuroscience. 46(3). 633–644. 44 indexed citations
16.
Wegner, Adam M., Caroline A. Nebhan, Lan Hu, et al.. (2008). N-WASP and the Arp2/3 Complex Are Critical Regulators of Actin in the Development of Dendritic Spines and Synapses. Journal of Biological Chemistry. 283(23). 15912–15920. 186 indexed citations
17.
Hu, Lan & Chao Chen. (2007). [Pathological changes of ultrastructures of oligodendrocytes following ischemic brain injury in 3-day-old premature rats].. PubMed. 9(3). 225–8. 1 indexed citations
18.
Hu, Lan, Daniel Segrè, & Temple F. Smith. (2007). Evolutionary changes in gene regulation from a comparative analysis of multiple Drosophila species.. PubMed. 18. 12–21.
19.
Crowe, David L., Lan Hu, Lorraine J. Gudas, & James G. Rheinwald. (1991). Variable expression of retinoie acid receptor (RARβ) mRNA in human oral and epidermal keratinocytes; relation to keratin 19 expression and keratinization potential. Differentiation. 48(3). 199–208. 55 indexed citations
20.
Hu, Lan & Lorraine J. Gudas. (1990). Cyclic AMP analogs and retinoic acid influence the expression of retinoic acid receptor alpha, beta, and gamma mRNAs in F9 teratocarcinoma cells.. Molecular and Cellular Biology. 10(1). 391–396. 164 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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