Yuanbo Liu

2.2k total citations · 1 hit paper
76 papers, 1.7k citations indexed

About

Yuanbo Liu is a scholar working on Neurology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Yuanbo Liu has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 25 papers in Pathology and Forensic Medicine and 24 papers in Molecular Biology. Recurrent topics in Yuanbo Liu's work include CNS Lymphoma Diagnosis and Treatment (25 papers), Lymphoma Diagnosis and Treatment (25 papers) and Glioma Diagnosis and Treatment (14 papers). Yuanbo Liu is often cited by papers focused on CNS Lymphoma Diagnosis and Treatment (25 papers), Lymphoma Diagnosis and Treatment (25 papers) and Glioma Diagnosis and Treatment (14 papers). Yuanbo Liu collaborates with scholars based in China, United States and Russia. Yuanbo Liu's co-authors include Young E. Whang, Christopher Walsh, Hengjun Chao, Samarpan Majumder, James L. Mohler, Joseph E. Rabinowitz, R. Jude Samulski, Chengwen Li, H. Shelton Earp and Nupam P. Mahajan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Yuanbo Liu

72 papers receiving 1.6k citations

Hit Papers

PSLSA v2.0: An automatic Python package integrating machi... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanbo Liu China 18 905 474 372 290 188 76 1.7k
Maarten van Dinther Netherlands 25 1.6k 1.8× 175 0.4× 523 1.4× 391 1.3× 134 0.7× 44 2.3k
Francesca Megiorni Italy 25 988 1.1× 341 0.7× 154 0.4× 184 0.6× 112 0.6× 65 2.1k
Marc‐Antoine Belaud‐Rotureau France 24 665 0.7× 164 0.3× 502 1.3× 606 2.1× 313 1.7× 65 1.7k
Kankatsu Yun New Zealand 25 1.5k 1.7× 837 1.8× 550 1.5× 317 1.1× 204 1.1× 68 2.7k
Michela Noseda United Kingdom 20 1.6k 1.8× 136 0.3× 307 0.8× 179 0.6× 79 0.4× 33 2.1k
Kentaro Igarashi Japan 30 596 0.7× 819 1.7× 762 2.0× 856 3.0× 175 0.9× 196 2.9k
Katri Koli Finland 27 1.2k 1.3× 348 0.7× 343 0.9× 730 2.5× 140 0.7× 56 2.4k
Devashish Kothapalli United States 19 1.5k 1.7× 317 0.7× 195 0.5× 195 0.7× 237 1.3× 23 2.5k
Mutsushi Matsuyama Japan 20 872 1.0× 264 0.6× 371 1.0× 144 0.5× 157 0.8× 97 2.1k

Countries citing papers authored by Yuanbo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuanbo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanbo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanbo Liu. A scholar is included among the top collaborators of Yuanbo Liu 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 Yuanbo Liu. Yuanbo Liu 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.
Guo, Zizheng, Haojie Wang, Jun He, et al.. (2025). PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment. Environmental Modelling & Software. 186. 106367–106367. 17 indexed citations breakdown →
2.
Kong, Yanan, et al.. (2025). FOXO4-DRI induces keloid senescent fibroblast apoptosis by promoting nuclear exclusion of upregulated p53-serine 15 phosphorylation. Communications Biology. 8(1). 299–299. 1 indexed citations
3.
Liu, Yuanbo, Jiawei Wang, Wei Wang, Tao Zhang, & Feng Yan. (2025). Evaluation of the Heavy Metal Pollution Induced by Sand Mining in Poyang Lake Based on the Fuzzy PERI Model. Water. 17(1). 124–124. 2 indexed citations
4.
Bai, Xueyan, Yuedan Chen, Qing Liu, et al.. (2025). Efficacy of individualized orelabrutinib-based regimens in relapsed or refractory central nervous system lymphoma. Frontiers in Neurology. 16. 1570224–1570224. 1 indexed citations
5.
Zhang, Tao, Yaqian Zhao, Yuan Liu, et al.. (2025). Innovative adaptation of coagulation-sedimentation-filtration process in lightly polluted urban rivers with seasonal high turbidity. Scientific Reports. 15(1). 20430–20430.
6.
Meng, Bowen, Yan Qu, Yuanbo Liu, et al.. (2023). Dual Role of Interleukin-20 in Different Stages of Osteoclast Differentiation and Its Osteoimmune Regulation during Alveolar Bone Remodeling. International Journal of Molecular Sciences. 24(4). 3810–3810. 6 indexed citations
8.
Liu, Yuanbo, Yiting Pan, Lili Lü, et al.. (2021). Polymorphism analysis and expression profile of the estrogen receptor 2 gene in Leizhou black duck. Poultry Science. 101(3). 101630–101630. 5 indexed citations
10.
Zou, Kun, Lili Lü, Yuanbo Liu, et al.. (2020). Ovarian transcriptomic analysis and follicular development of Leizhou black duck. Poultry Science. 99(11). 6173–6187. 17 indexed citations
11.
Wu, Yuchen, Yaming Wang, Xueyan Bai, et al.. (2019). Parenchymal central nervous system involvement in aggressive B-cell lymphoma: retrospective analysis of clinical and MRI features in a Chinese population. BMC Neurology. 19(1). 268–268. 4 indexed citations
12.
Lin, Xiaolong, Huijun Hu, Yuanbo Liu, et al.. (2017). Allicin induces the upregulation of ABCA1 expression via PPARγ/LXRα signaling in THP-1 macrophage-derived foam cells. International Journal of Molecular Medicine. 39(6). 1452–1460. 56 indexed citations
13.
Liu, Yuanbo, et al.. (2017). Advances in Pathobiology of Primary Central Nervous System Lymphoma. Chinese Medical Journal. 130(16). 1973–1979. 15 indexed citations
14.
Liu, Jing, Yaming Wang, Nan Ji, et al.. (2016). Promoter methylation attenuates SHP1 expression and function in patients with primary central nervous system lymphoma. Oncology Reports. 37(2). 887–894. 14 indexed citations
16.
Li, Yang, Fusheng Liu, Yuanbo Liu, & Junting Zhang. (2014). [The diagnosis and treatment of primary central nervous system lymphoma].. PubMed. 35(8). 771–3. 3 indexed citations
17.
Yang, Chenlong, Yuanbo Liu, Guang Li, et al.. (2014). Multifocal myeloid sarcoma in the central nervous system without leukemia. Clinical Neurology and Neurosurgery. 120. 99–102. 9 indexed citations
18.
Majumder, Samarpan, Yuanbo Liu, O. Harris Ford, James L. Mohler, & Young E. Whang. (2006). Involvement of arginine methyltransferase CARM1 in androgen receptor function and prostate cancer cell viability. The Prostate. 66(12). 1292–1301. 114 indexed citations
19.
Gregory, Christopher W., Young E. Whang, Yuanbo Liu, et al.. (2005). Heregulin-Induced Activation of HER2 and HER3 Increases Androgen Receptor Transactivation and CWR-R1 Human Recurrent Prostate Cancer Cell Growth. Clinical Cancer Research. 11(5). 1704–1712. 107 indexed citations
20.
Chao, Hengjun, Yuanbo Liu, Joseph E. Rabinowitz, et al.. (2000). Several Log Increase in Therapeutic Transgene Delivery by Distinct Adeno-Associated Viral Serotype Vectors. Molecular Therapy. 2(6). 619–623. 302 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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