Baowei Jiao

2.4k total citations
43 papers, 1.6k citations indexed

About

Baowei Jiao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Baowei Jiao has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Baowei Jiao's work include RNA Research and Splicing (11 papers), Cancer-related molecular mechanisms research (9 papers) and RNA modifications and cancer (9 papers). Baowei Jiao is often cited by papers focused on RNA Research and Splicing (11 papers), Cancer-related molecular mechanisms research (9 papers) and RNA modifications and cancer (9 papers). Baowei Jiao collaborates with scholars based in China, Hong Kong and United States. Baowei Jiao's co-authors include Christopher H.K. Cheng, Xigui Huang, Deshou Wang, Qin Yang, Ke Hao, Chi Bun Chan, Li Zou, Haibo Xu, Limin Zhao and Xiaosan Su and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Baowei Jiao

42 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baowei Jiao China 21 878 454 449 200 190 43 1.6k
Christian Klausen Canada 29 1.0k 1.1× 297 0.7× 276 0.6× 173 0.9× 190 1.0× 72 2.1k
William C. Comb United States 12 1.2k 1.4× 122 0.3× 332 0.7× 163 0.8× 188 1.0× 16 2.1k
Jianfeng Zhou China 21 707 0.8× 138 0.3× 277 0.6× 37 0.2× 188 1.0× 77 1.2k
Susumu Sekine Japan 18 844 1.0× 526 1.2× 82 0.2× 119 0.6× 144 0.8× 31 1.6k
Gary Means United States 18 877 1.0× 1.4k 3.1× 178 0.4× 190 0.9× 339 1.8× 32 2.6k
Eleanor F. Need Australia 15 499 0.6× 375 0.8× 147 0.3× 85 0.4× 170 0.9× 20 1.2k
Sang Y. Chun United States 23 912 1.0× 332 0.7× 255 0.6× 75 0.4× 167 0.9× 32 2.2k
Liraz Levi United States 16 540 0.6× 140 0.3× 212 0.5× 88 0.4× 73 0.4× 19 849
Caroline J. Speed Australia 17 655 0.7× 669 1.5× 77 0.2× 101 0.5× 231 1.2× 22 1.5k
Valerie C. L. Lin Singapore 21 505 0.6× 431 0.9× 135 0.3× 29 0.1× 304 1.6× 52 1.1k

Countries citing papers authored by Baowei Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Baowei Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baowei Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Baowei Jiao. A scholar is included among the top collaborators of Baowei Jiao 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 Baowei Jiao. Baowei Jiao 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.
Xu, Haibo, Hui Wang, Li Zou, et al.. (2024). Mcam inhibits macrophage-mediated development of mammary gland through non-canonical Wnt signaling. Nature Communications. 15(1). 36–36. 4 indexed citations
2.
Wang, Hui, Guolei Wang, Li Zou, et al.. (2024). Fused in sarcoma (FUS) inhibits milk production efficiency in mammals. Nature Communications. 15(1). 3953–3953.
3.
Wang, Hairui, Hui Wang, Rui Wang, et al.. (2024). Discovery of a molecular glue for EGFR degradation. Oncogene. 44(8). 545–556. 9 indexed citations
4.
Deng, Li, Siyuan Yang, Li Zou, et al.. (2023). Targeting cuproptosis by zinc pyrithione in triple-negative breast cancer. iScience. 26(11). 108218–108218. 25 indexed citations
5.
Lin, Junqiang, Ke Hao, Liang Lin, et al.. (2023). Changes in the mammary gland during aging and its links with breast diseases. Acta Biochimica et Biophysica Sinica. 55(6). 1001–1019. 15 indexed citations
6.
Qiu, Ting, Lina Zhao, Xinye Wang, et al.. (2023). SGCE promotes breast cancer stemness by promoting the transcription of FGF-BP1 by Sp1. Journal of Biological Chemistry. 299(11). 105351–105351. 5 indexed citations
7.
Wang, Hui, Haibo Xu, Wei Chen, et al.. (2022). Rab13 Sustains Breast Cancer Stem Cells by Supporting Tumor–Stroma Cross-talk. Cancer Research. 82(11). 2124–2140. 17 indexed citations
8.
Li, Xi‐Yin, et al.. (2022). Can EGFR be a therapeutic target in breast cancer?. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1877(5). 188789–188789. 50 indexed citations
9.
Xu, Baoyan, et al.. (2022). Analysis of ancient and modern horse genomes reveals the critical impact of lncRNA-mediated epigenetic regulation on horse domestication. Frontiers in Genetics. 13. 944933–944933. 4 indexed citations
10.
Guo, Lu, Ke Hao, Honglei Zhang, et al.. (2022). TDP43 promotes stemness of breast cancer stem cells through CD44 variant splicing isoforms. Cell Death and Disease. 13(5). 428–428. 22 indexed citations
11.
Bi, Xueyun, Pengbo Lou, Yongli Song, et al.. (2021). Msi1 promotes breast cancer metastasis by regulating invadopodia-mediated extracellular matrix degradation via the Timp3–Mmp9 pathway. Oncogene. 40(29). 4832–4845. 18 indexed citations
12.
Li, Xi‐Yin, Hwa‐Chain Robert Wang, Xing Yang, et al.. (2021). GABRP sustains the stemness of triple-negative breast cancer cells through EGFR signaling. Cancer Letters. 514. 90–102. 28 indexed citations
13.
Xu, Haibo, Xing Yang, Weiren Huang, et al.. (2020). Single-cell profiling of long noncoding RNAs and their cell lineage commitment roles via RNA-DNA-DNA triplex formation in mammary epithelium. Stem Cells. 38(12). 1594–1611. 14 indexed citations
14.
Zhao, Limin, Ke Hao, Haibo Xu, et al.. (2020). TDP-43 facilitates milk lipid secretion by post-transcriptional regulation of Btn1a1 and Xdh. Nature Communications. 11(1). 341–341. 30 indexed citations
15.
Zhao, Limin, Lingling Li, Haibo Xu, et al.. (2019). TDP-43 is Required for Mammary Gland Repopulation and Proliferation of Mammary Epithelial Cells. Stem Cells and Development. 28(14). 944–953. 7 indexed citations
16.
Liu, Yang, et al.. (2018). Hsa_circ_0046264 up-regulated BRCA2 to suppress lung cancer through targeting hsa-miR-1245. Respiratory Research. 19(1). 115–115. 42 indexed citations
17.
Tu, Qiu, Jun Hao, Xin Zhou, et al.. (2017). CDKN2B deletion is essential for pancreatic cancer development instead of unmeaningful co-deletion due to juxtaposition to CDKN2A. Oncogene. 37(1). 128–138. 43 indexed citations
18.
Jiao, Baowei, Hong Ma, Maxim N. Shokhirev, et al.. (2012). Paternal RLIM/Rnf12 Is a Survival Factor for Milk-Producing Alveolar Cells. Cell. 149(3). 630–641. 24 indexed citations
19.
Shin, Jongdae, Michael Bossenz, Young Sun Chung, et al.. (2010). Maternal Rnf12/RLIM is required for imprinted X-chromosome inactivation in mice. Nature. 467(7318). 977–981. 135 indexed citations
20.
Jiao, Baowei, Xigui Huang, Chi Bun Chan, et al.. (2006). The co-existence of two growth hormone receptors in teleost fish and their differential signal transduction, tissue distribution and hormonal regulation of expression in seabream. Journal of Molecular Endocrinology. 36(1). 23–40. 147 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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