Bigang Liu

3.7k total citations · 1 hit paper
34 papers, 2.8k citations indexed

About

Bigang Liu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Bigang Liu has authored 34 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Bigang Liu's work include NF-κB Signaling Pathways (9 papers), Epigenetics and DNA Methylation (6 papers) and Cancer Cells and Metastasis (6 papers). Bigang Liu is often cited by papers focused on NF-κB Signaling Pathways (9 papers), Epigenetics and DNA Methylation (6 papers) and Cancer Cells and Metastasis (6 papers). Bigang Liu collaborates with scholars based in United States, China and United Kingdom. Bigang Liu's co-authors include Dean G. Tang, Collene Jeter, Can Liu, Xin Chen, Tammy Calhoun‐Davis, Jianjun Shen, Sofia Honorio, Jason F. Wiggins, David T. Brown and Kevin Kelnar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Bigang Liu

34 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44

2011 1.1k citations Can Liu, Kevin Kelnar et al. Nature Medicine profile →

Peers

Bigang Liu

MB

CR

ONCOL

IMMUN

PRM

Khalid Bajou Belgium

Aiping Luo China

Xiaofeng Zheng United States

Noritaka Ohga Japan

Yu‐Ting Chou Taiwan

Christopher S. Gondi United States

Pallavi Chaturvedi United States

Beiqin Yu China

Thomas Bertero France

Abdel Hosein United States

Khalid Bajou Belgium

Bigang Liu

1.4k ×0.7

MB

1.6k ×1.1

CR

627 ×0.8

ONCOL

268 ×0.7

IMMUN

228 ×0.6

PRM

Citations per year, relative to Bigang Liu Bigang Liu (= 1×) peers Khalid Bajou

Countries citing papers authored by Bigang Liu

Since Specialization

Citations

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

Fields of papers citing papers by Bigang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bigang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Bigang Liu. A scholar is included among the top collaborators of Bigang 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 Bigang Liu. Bigang Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Hardikar, Swanand, Ren Ren, Zhengzhou Ying, et al.. (2024). The ICF syndrome protein CDCA7 harbors a unique DNA binding domain that recognizes a CpG dyad in the context of a non-B DNA. Science Advances. 10(34). eadr0036–eadr0036. 11 indexed citations

2.

Chen, Qin, Ren Ren, Jie Yang, et al.. (2024). Quinoline-based compounds can inhibit diverse enzymes that act on DNA. Cell chemical biology. 31(12). 2112–2127.e6. 2 indexed citations

3.

Chen, Qin, Bigang Liu, Yang Zeng, et al.. (2023). GSK-3484862 targets DNMT1 for degradation in cells. NAR Cancer. 5(2). zcad022–zcad022. 27 indexed citations

4.

AlAbdi, Lama, et al.. (2020). The acute myeloid leukemia variant DNMT3A Arg882His is a DNMT3B-like enzyme. Nucleic Acids Research. 48(7). 3761–3775. 20 indexed citations

5.

Chen, Xin, Qiuhui Li, Xin Liu, et al.. (2016). Defining a Population of Stem-like Human Prostate Cancer Cells That Can Generate and Propagate Castration-Resistant Prostate Cancer. Clinical Cancer Research. 22(17). 4505–4516. 75 indexed citations

6.

Jeter, Collene, Bigang Liu, Yue Lu, et al.. (2016). NANOG reprograms prostate cancer cells to castration resistance via dynamically repressing and engaging the AR/FOXA1 signaling axis. Cell Discovery. 2(1). 16041–16041. 42 indexed citations

7.

Gong, Shuai, et al.. (2015). Regulation of NANOG in cancer cells. Molecular Carcinogenesis. 54(9). 679–687. 86 indexed citations

8.

Jin, Min, Tao Zhang, Can Liu, et al.. (2014). miRNA-128 Suppresses Prostate Cancer by Inhibiting BMI-1 to Inhibit Tumor-Initiating Cells. Cancer Research. 74(15). 4183–4195. 114 indexed citations

9.

Liu, Bigang, Mark Badeaux, Grace Choy, et al.. (2014). Nanog1 in NTERA-2 and Recombinant NanogP8 from Somatic Cancer Cells Adopt Multiple Protein Conformations and Migrate at Multiple M.W Species. PLoS ONE. 9(3). e90615–e90615. 13 indexed citations

10.

Chen, Xin, Bigang Liu, Qiuhui Li, et al.. (2013). Dissociated Primary Human Prostate Cancer Cells Coinjected with the Immortalized Hs5 Bone Marrow Stromal Cells Generate Undifferentiated Tumors in NOD/SCID-γ Mice. PLoS ONE. 8(2). e56903–e56903. 10 indexed citations

11.

Xia, Xiaojun, Shuang Liu, Zuoxiang Xiao, et al.. (2013). An IKKα-Nucleophosmin Axis Utilizes Inflammatory Signaling to Promote Genome Integrity. Cell Reports. 5(5). 1243–1255. 19 indexed citations

12.

Blackburn, James, Atsushi Ohazama, Katsushige Kawasaki, et al.. (2012). The role of Irf6 in tooth epithelial invagination. Developmental Biology. 365(1). 61–70. 16 indexed citations

13.

Liu, Can, Kevin Kelnar, Bigang Liu, et al.. (2011). The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44. Nature Medicine. 17(2). 211–215. 1136 indexed citations breakdown →

14.

Xia, Xiaojun, Eunmi Park, Bigang Liu, et al.. (2010). Reduction of IKKα Expression Promotes Chronic Ultraviolet B Exposure-Induced Skin Inflammation and Carcinogenesis. American Journal Of Pathology. 176(5). 2500–2508. 24 indexed citations

15.

Liu, Bigang, et al.. (2009). A tale of terminal differentiation: IKKα, the master keratinocyte regulator. Cell Cycle. 8(4). 527–531. 17 indexed citations

16.

Liu, Bigang, et al.. (2008). ALG‐2 interacting protein AIP1: a novel link between D1 and D3 signalling. European Journal of Neuroscience. 27(7). 1626–1633. 13 indexed citations

17.

Liu, Bigang, Xiaojun Xia, Feng Zhu, et al.. (2008). IKKα Is Required to Maintain Skin Homeostasis and Prevent Skin Cancer. Cancer Cell. 14(3). 212–225. 99 indexed citations

18.

Park, Eunmi, Feng Zhu, Bigang Liu, et al.. (2007). Reduction in IκB Kinase α Expression Promotes the Development of Skin Papillomas and Carcinomas. Cancer Research. 67(19). 9158–9168. 56 indexed citations

19.

Lomada, Dakshayani, Bigang Liu, Lezlee Coghlan, Yinling Hu, & Ellen R. Richie. (2007). Thymus Medulla Formation and Central Tolerance Are Restored in IKKα−/− Mice That Express an IKKα Transgene in Keratin 5+ Thymic Epithelial Cells. The Journal of Immunology. 178(2). 829–837. 51 indexed citations

20.

Zhu, Feng, Xiaojun Xia, Bigang Liu, et al.. (2007). IKKα Shields 14-3-3σ, a G2/M Cell Cycle Checkpoint Gene, from Hypermethylation, Preventing Its Silencing. Molecular Cell. 27(2). 214–227. 55 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.

Explore authors with similar magnitude of impact