Yonglu Tian

1.9k total citations
27 papers, 884 citations indexed

About

Yonglu Tian is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Yonglu Tian has authored 27 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Physiology. Recurrent topics in Yonglu Tian's work include Neuroscience and Neuropharmacology Research (5 papers), Ubiquitin and proteasome pathways (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Yonglu Tian is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Ubiquitin and proteasome pathways (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Yonglu Tian collaborates with scholars based in China, Czechia and Norway. Yonglu Tian's co-authors include Xiaofeng Zheng, Xinping Huang, Zefang Tang, Jian Lin, Fugeng Sheng, Jinfang Zhang, Xin Chu, Yunhe Dong, Wenlong Yang and Fei Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and ACS Nano.

In The Last Decade

Yonglu Tian

26 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonglu Tian China 15 431 141 139 129 84 27 884
Qianqian Liu China 18 337 0.8× 166 1.2× 83 0.6× 91 0.7× 68 0.8× 83 1.1k
Yun Xu China 15 358 0.8× 102 0.7× 107 0.8× 52 0.4× 44 0.5× 27 826
Daguang Wang China 21 677 1.6× 147 1.0× 198 1.4× 155 1.2× 105 1.3× 81 1.3k
Masanari Umemura Japan 21 672 1.6× 128 0.9× 162 1.2× 75 0.6× 117 1.4× 67 1.5k
Ping Dai China 23 594 1.4× 178 1.3× 97 0.7× 64 0.5× 45 0.5× 82 1.4k
Haijun Liu China 17 408 0.9× 194 1.4× 79 0.6× 162 1.3× 123 1.5× 57 1.0k
Dana Almohazey Saudi Arabia 17 212 0.5× 132 0.9× 114 0.8× 57 0.4× 137 1.6× 40 818
Nishtman Dizeyi Sweden 18 496 1.2× 136 1.0× 180 1.3× 114 0.9× 25 0.3× 33 1.1k
Shuang Ding China 21 438 1.0× 78 0.6× 122 0.9× 178 1.4× 60 0.7× 88 983
Yu Wan China 19 736 1.7× 167 1.2× 229 1.6× 190 1.5× 140 1.7× 58 1.6k

Countries citing papers authored by Yonglu Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yonglu Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonglu Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Yonglu Tian. A scholar is included among the top collaborators of Yonglu Tian 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 Yonglu Tian. Yonglu Tian 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.
Su, Feng, Mengna Liu, K. Y. Shan, et al.. (2025). High‐throughput markerless pose estimation and home‐cage activity analysis of tree shrew using deep learning. Animal Models and Experimental Medicine. 8(5). 896–905.
2.
Liu, Jiao, Jinpeng Wang, Yongfeng Li, et al.. (2023). Impairments in endogenous AMPA receptor dynamics correlates with learning deficits in Alzheimer’s disease model mice. Proceedings of the National Academy of Sciences. 120(40). e2303878120–e2303878120. 6 indexed citations
3.
Li, Yuanjun, Yonglu Tian, Pengli Zheng, et al.. (2023). SCG10 is required for peripheral axon maintenance and regeneration in mice. Journal of Cell Science. 136(12). 9 indexed citations
4.
Huang, Xinping, et al.. (2023). SENP1 Decreases RNF168 Phase Separation to Promote DNA Damage Repair and Drug Resistance in Colon Cancer. Cancer Research. 83(17). 2908–2923. 51 indexed citations
5.
Tian, Yonglu, et al.. (2023). Diminished activation of excitatory neurons in the prelimbic cortex leads to impaired working memory capacity in mice. BMC Biology. 21(1). 171–171. 2 indexed citations
6.
Zhao, Yan, et al.. (2022). Deubiquitinase OTUD6A promotes breast cancer progression by increasing TopBP1 stability and rendering tumor cells resistant to DNA-damaging therapy. Cell Death and Differentiation. 29(12). 2531–2544. 33 indexed citations
7.
Su, Feng & Yonglu Tian. (2022). Non-rigid Registration for Two-photon Imaging Using Triangulation and Piecewise Affine Transformation. Neuroscience. 491. 1–12. 1 indexed citations
8.
Tian, Yonglu, Qinqin Tian, Xin Peng, et al.. (2020). Vitamin A supplement after neonatal Streptococcus pneumoniae pneumonia inhibits the progression of experimental asthma by altering CD4+T cell subsets. Scientific Reports. 10(1). 4214–4214. 16 indexed citations
9.
Peng, Xin, Xiao Kong, Yonglu Tian, et al.. (2019). Neonatal Streptococcus pneumoniae Pneumonia Induces an Aberrant Airway Smooth Muscle Phenotype and AHR in Mice Model. BioMed Research International. 2019. 1–8. 10 indexed citations
10.
Huang, Xinping, Yimin Lao, Yonglu Tian, et al.. (2019). hCINAP regulates the DNA-damage response and mediates the resistance of acute myelocytic leukemia cells to therapy. Nature Communications. 10(1). 3812–3812. 38 indexed citations
11.
Tian, Yonglu, et al.. (2017). [Epidemiological study of sleep disorder in the elderly].. PubMed. 38(7). 988–992. 25 indexed citations
12.
Ji, Yapeng, Chuanzhen Yang, Zefang Tang, et al.. (2017). Adenylate kinase hCINAP determines self-renewal of colorectal cancer stem cells by facilitating LDHA phosphorylation. Nature Communications. 8(1). 15308–15308. 64 indexed citations
13.
Tian, Yonglu, Chaojuan Yang, Shujiang Shang, et al.. (2017). Loss of FMRP Impaired Hippocampal Long-Term Plasticity and Spatial Learning in Rats. Frontiers in Molecular Neuroscience. 10. 269–269. 56 indexed citations
14.
Weng, Rui, Sensen Shen, Casey Burton, et al.. (2016). Lipidomic profiling of tryptophan hydroxylase 2 knockout mice reveals novel lipid biomarkers associated with serotonin deficiency. Analytical and Bioanalytical Chemistry. 408(11). 2963–2973. 27 indexed citations
15.
Mars, Maurice, et al.. (2016). [The outcome of trial of labor after cesarean section].. PubMed. 51(10). 748–753. 5 indexed citations
16.
Weng, Rui, Sensen Shen, Yonglu Tian, et al.. (2015). Metabolomics Approach Reveals Integrated Metabolic Network Associated with Serotonin Deficiency. Scientific Reports. 5(1). 11864–11864. 47 indexed citations
17.
Weng, Rui, Sensen Shen, Yang Li, et al.. (2015). Lipidomic analysis of p ‐chlorophenylalanine‐treated mice using continuous‐flow two‐dimensional liquid chromatography/quadrupole time‐of‐flight mass spectrometry. Rapid Communications in Mass Spectrometry. 29(16). 1491–1500. 11 indexed citations
18.
Shen, Hongtao, Haichuan Zhu, Yonglu Tian, et al.. (2014). A selenosemicarbazone complex with copper efficiently down-regulates the 90-kDa heat shock protein HSP90AA1 and its client proteins in cancer cells. BMC Cancer. 14(1). 629–629. 20 indexed citations
19.
20.
Tian, Yonglu, Jun Shan, & Xuejun Zhao. (1995). [Relationship between the fetal axis and dystocia in cephalic presenting deliveries].. PubMed. 30(11). 677–80. 1 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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