Tianbo Liu

1.1k total citations · 1 hit paper
32 papers, 817 citations indexed

About

Tianbo Liu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Tianbo Liu has authored 32 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Tianbo Liu's work include Cancer-related molecular mechanisms research (10 papers), Cell death mechanisms and regulation (5 papers) and MicroRNA in disease regulation (4 papers). Tianbo Liu is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Cell death mechanisms and regulation (5 papers) and MicroRNA in disease regulation (4 papers). Tianbo Liu collaborates with scholars based in China and United States. Tianbo Liu's co-authors include Bairong Xia, Ge Lou, Shanshan Yang, Tingting Ge, Meng Yang, Ge Lou, Chang Yang, Hong Chen, Mei Lin and Yuyang Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Experimental Cell Research and Frontiers in Plant Science.

In The Last Decade

Tianbo Liu

29 papers receiving 809 citations

Hit Papers

Bromodomain and extraterminal (BET) proteins: biological ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianbo Liu China 17 632 395 168 122 63 32 817
Annika Hau United States 7 826 1.3× 522 1.3× 221 1.3× 208 1.7× 37 0.6× 10 1.1k
Jian‐Yong Ding China 17 519 0.8× 206 0.5× 270 1.6× 127 1.0× 40 0.6× 32 764
Dorine Bellanger France 11 330 0.5× 199 0.5× 201 1.2× 103 0.8× 55 0.9× 15 586
Xuanyi Zou United States 9 659 1.0× 502 1.3× 103 0.6× 51 0.4× 35 0.6× 9 839
Débora Rosa Bublik Israel 12 660 1.0× 257 0.7× 150 0.9× 165 1.4× 22 0.3× 14 807
Vered Givant-Horwitz Norway 11 360 0.6× 168 0.4× 197 1.2× 89 0.7× 51 0.8× 12 639
Jeanie Wu Singapore 13 552 0.9× 258 0.7× 218 1.3× 76 0.6× 108 1.7× 14 904
Enhua Wang China 16 651 1.0× 614 1.6× 154 0.9× 92 0.8× 43 0.7× 26 867
Maozhen Tian United States 8 540 0.9× 179 0.5× 364 2.2× 76 0.6× 60 1.0× 8 760
Annie Jean United States 9 345 0.5× 286 0.7× 329 2.0× 127 1.0× 51 0.8× 10 758

Countries citing papers authored by Tianbo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tianbo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianbo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tianbo Liu. A scholar is included among the top collaborators of Tianbo 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 Tianbo Liu. Tianbo 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.
Liu, Tianbo, Ma Li, Wei Wang, et al.. (2025). Robot-Assisted Surgery for Endometrial Cancer Using KangDuo versus Da Vinci Systems: A Retrospective Comparative Study. Journal of Multidisciplinary Healthcare. Volume 18. 3891–3900.
2.
Wang, Yunsheng, et al.. (2023). Identification and characterization of pathogenicity-related genes of Rhizoctonia solani AG3 during tobacco infection. Frontiers in Plant Science. 13. 1116506–1116506. 3 indexed citations
3.
Wang, Zhiqiang, Yuyang Wu, Yanan Pi, et al.. (2023). Bromodomain and extraterminal (BET) proteins: biological functions, diseases and targeted therapy. Signal Transduction and Targeted Therapy. 8(1). 420–420. 94 indexed citations breakdown →
4.
Dong, Meng, et al.. (2021). Long noncoding LUCAT1 promotes cisplatin resistance of non-small cell lung cancer by promoting IGF-2. SHILAP Revista de lepidopterología. 5 indexed citations
5.
Ge, Tingting, Tianbo Liu, Liyuan Guo, Zhuo Chen, & Ge Lou. (2020). MicroRNA-302 represses epithelial-mesenchymal transition and cisplatin resistance by regulating ATAD2 in ovarian carcinoma. Experimental Cell Research. 396(1). 112241–112241. 17 indexed citations
6.
Gao, Hongyu, Zhiran Zhang, Lei Zhang, et al.. (2020). TNFAIP8 variants as potential epidemiological and predictive biomarkers in ovarian cancer. Cancer Cell International. 20(1). 396–396. 4 indexed citations
7.
Yang, Shanshan, Tianbo Liu, Haiyan Cheng, et al.. (2019). Decreased Expression of Retinoblastoma Protein-Interacting Zinc-Finger Gene 1 Is Correlated With Poor Survival and Aggressiveness of Cervical Cancer Patients. Frontiers in Oncology. 9. 1396–1396. 4 indexed citations
8.
Gu, Lina, et al.. (2018). Expression of Nemo-like kinase in cervical squamous cell carcinoma: a clinicopathological study. OncoTargets and Therapy. Volume 11. 743–749. 4 indexed citations
10.
Xiao, Min, Qingyong Xu, Qin Yu, et al.. (2017). Overexpression of TNFAIP8 is associated with tumor aggressiveness and poor prognosis in patients with invasive ductal breast carcinoma. Human Pathology. 62. 40–49. 23 indexed citations
11.
Xia, Bairong, Huiyan Li, Shanshan Yang, Tianbo Liu, & Ge Lou. (2016). MiR-381 inhibits epithelial ovarian cancer malignancy via YY1 suppression. Tumor Biology. 37(7). 9157–9167. 50 indexed citations
12.
Liu, Tianbo, et al.. (2015). Increased NUCKS expression is a risk factor for poor prognosis and recurrence in endometrial cancer.. PubMed Central. 5(12). 3659–67. 12 indexed citations
13.
Xia, Bairong, Shanshan Yang, Tianbo Liu, & Ge Lou. (2015). miR-211 suppresses epithelial ovarian cancer proliferation and cell-cycle progression by targeting Cyclin D1 and CDK6. Molecular Cancer. 14(1). 57–57. 115 indexed citations
14.
Ge, Tingting, et al.. (2014). MicroRNA-302b Suppresses Human Epithelial Ovarian Cancer Cell Growth by Targeting RUNX1. Cellular Physiology and Biochemistry. 34(6). 2209–2220. 47 indexed citations
15.
Yang, Ming, Xiaoxia Wang, Qi Zhao, et al.. (2014). Combined evaluation of the expression of NUCKS and Ki-67 proteins as independent prognostic factors for patients with gastric adenocarcinoma. Tumor Biology. 35(8). 7505–7512. 17 indexed citations
16.
Liu, Tianbo, Bairong Xia, Yanhong Lu, Ye Xu, & Ge Lou. (2014). TNFAIP8 overexpression is associated with platinum resistance in epithelial ovarian cancers with optimal cytoreduction. Human Pathology. 45(6). 1251–1257. 28 indexed citations
17.
Zhao, Jia, Tianbo Liu, Ge Yu, & Jing Wang. (2014). Overexpression of HABP1 correlated with clinicopathological characteristics and unfavorable prognosis in endometrial cancer. Tumor Biology. 36(2). 1299–1306. 32 indexed citations
18.
Liu, Tianbo, Hongyu Gao, Meng Yang, et al.. (2014). Correlation of TNFAIP8 overexpression with the proliferation, metastasis, and disease-free survival in endometrial cancer. Tumor Biology. 35(6). 5805–5814. 43 indexed citations
19.
Yang, Ming, Qi Zhao, Xiaoxia Wang, et al.. (2014). TNFAIP8 overexpression is associated with lymph node metastasis and poor prognosis in intestinal‐type gastric adenocarcinoma. Histopathology. 65(4). 517–526. 36 indexed citations
20.
Yang, Meng, Yunduo Liu, Yanying Wang, et al.. (2013). Ubiquitin-specific protease 22: a novel molecular biomarker in cervical cancer prognosis and therapeutics. Tumor Biology. 35(2). 929–934. 30 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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