Bo‐Wei Han

1.2k total citations
23 papers, 746 citations indexed

About

Bo‐Wei Han is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Bo‐Wei Han has authored 23 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cancer Research, 13 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Bo‐Wei Han's work include Cancer Genomics and Diagnostics (7 papers), Cancer-related molecular mechanisms research (7 papers) and Genetic factors in colorectal cancer (4 papers). Bo‐Wei Han is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Cancer-related molecular mechanisms research (7 papers) and Genetic factors in colorectal cancer (4 papers). Bo‐Wei Han collaborates with scholars based in China, Slovakia and United Kingdom. Bo‐Wei Han's co-authors include Yujie Chen, Wentao Wang, Panpan Wei, Yanan Zhao, Bo He, Zhenhua Chen, Hua Ye, Xingju Zhang, Hua Zhang and Liang‐Hu Qu and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and American Journal of Obstetrics and Gynecology.

In The Last Decade

Bo‐Wei Han

23 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo‐Wei Han China 10 499 490 116 111 111 23 746
Zhongqiu Lin China 17 754 1.5× 780 1.6× 114 1.0× 81 0.7× 88 0.8× 37 1.1k
Munmun Rahman Japan 15 207 0.4× 537 1.1× 108 0.9× 47 0.4× 269 2.4× 34 806
Fanfei Kong China 15 378 0.8× 422 0.9× 62 0.5× 49 0.4× 38 0.3× 26 626
Atsuko Katagiri Japan 17 231 0.5× 621 1.3× 135 1.2× 58 0.5× 351 3.2× 37 956
Erika Nakatsuka Japan 9 488 1.0× 535 1.1× 22 0.2× 118 1.1× 113 1.0× 20 742
Adriaan Vanderstichele Belgium 14 327 0.7× 288 0.6× 43 0.4× 93 0.8× 266 2.4× 29 752
Sandrina Lambrechts Belgium 18 203 0.4× 280 0.6× 184 1.6× 74 0.7× 402 3.6× 36 777
Deanna Teoh United States 12 87 0.2× 253 0.5× 193 1.7× 87 0.8× 400 3.6× 20 708
Špela Smrkolj Slovenia 12 107 0.2× 173 0.4× 109 0.9× 47 0.4× 71 0.6× 44 421
Marilisa Cargnelutti Italy 9 132 0.3× 270 0.6× 39 0.3× 95 0.9× 62 0.6× 10 521

Countries citing papers authored by Bo‐Wei Han

Since Specialization
Citations

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

Fields of papers citing papers by Bo‐Wei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo‐Wei Han. 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 Bo‐Wei Han. The network helps show where Bo‐Wei Han may publish in the future.

Co-authorship network of co-authors of Bo‐Wei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Bo‐Wei Han. A scholar is included among the top collaborators of Bo‐Wei Han 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 Bo‐Wei Han. Bo‐Wei Han 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, Zhiwei, Ke Wang, Xiang Huang, et al.. (2025). Genome-wide nucleosome footprints of plasma cfDNA predict preterm birth: A case-control study. PLoS Medicine. 22(4). e1004571–e1004571. 1 indexed citations
2.
Yang, Xu, Qing Liu, Zhiwei Guo, et al.. (2024). Promoter profiles in plasma CfDNA exhibits a potential utility of predicting the efficacy of neoadjuvant chemotherapy in breast cancer patients. Breast Cancer Research. 26(1). 112–112. 1 indexed citations
3.
Han, Bo‐Wei, et al.. (2024). Epstein-Barr virus deubiquitinating enzyme BPLF1 is involved in EBV carcinogenesis by affecting cellular genomic stability. Neoplasia. 55. 101012–101012. 3 indexed citations
5.
Liu, Yang, Yalun Li, Dan Chen, et al.. (2023). Homologous recombination deficiency prediction using low-pass whole genome sequencing in breast cancer. Cancer Genetics. 272-273. 35–40. 4 indexed citations
6.
Wang, Ji‐Dong, et al.. (2023). Development of fecal microbial diagnostic marker sets of colorectal cancer using natural language processing method. The International Journal of Biological Markers. 39(1). 31–39. 2 indexed citations
7.
Guo, Zhiwei, Qing Liu, Xu Yang, et al.. (2022). Noninvasive prediction of axillary lymph node status in breast cancer using promoter profiling of circulating cell-free DNA. Journal of Translational Medicine. 20(1). 557–557. 2 indexed citations
8.
Yang, Xu, Bo‐Wei Han, Zhiwei Guo, et al.. (2021). Association between the nucleosome footprint of plasma DNA and neoadjuvant chemotherapy response for breast cancer. npj Breast Cancer. 7(1). 35–35. 14 indexed citations
9.
Han, Bo‐Wei, Xu Yang, Shoufang Qu, et al.. (2021). A Deep-Learning Pipeline for TSS Coverage Imputation From Shallow Cell-Free DNA Sequencing. Frontiers in Medicine. 8. 684238–684238. 3 indexed citations
10.
Lin, Li, Xiang-Ming Zhai, Xuexi Yang, et al.. (2021). Plasma-Derived Extracellular Vesicles Circular RNAs Serve as Biomarkers for Breast Cancer Diagnosis. Frontiers in Oncology. 11. 752651–752651. 23 indexed citations
11.
Han, Bo‐Wei, Qing Liu, Xu Yang, et al.. (2021). Noninvasive discrimination of benign and malignant breast lesions using genome-wide nucleosome profiles of plasma cell-free DNA. Clinica Chimica Acta. 520. 95–100. 4 indexed citations
12.
Han, Bo‐Wei, Fang Yang, Zhiwei Guo, et al.. (2020). Noninvasive inferring expressed genes and in vivo monitoring of the physiology and pathology of pregnancy using cell-free DNA. American Journal of Obstetrics and Gynecology. 224(3). 300.e1–300.e9. 12 indexed citations
13.
Zhou, Guangming, Yahui Wang, Jie Ping, et al.. (2018). Association of MCP‐1 promoter polymorphism with susceptibility to nasopharyngeal carcinoma. Journal of Cellular Biochemistry. 120(4). 6661–6670. 8 indexed citations
14.
Han, Bo‐Wei, Hua Ye, Panpan Wei, et al.. (2018). Global identification and characterization of lncRNAs that control inflammation in malignant cholangiocytes. BMC Genomics. 19(1). 735–735. 21 indexed citations
15.
Wang, Wentao, Hua Ye, Panpan Wei, et al.. (2016). LncRNAs H19 and HULC, activated by oxidative stress, promote cell migration and invasion in cholangiocarcinoma through a ceRNA manner. Journal of Hematology & Oncology. 9(1). 117–117. 198 indexed citations
16.
Zeng, Chengwu, Zhenhua Chen, Xingju Zhang, et al.. (2014). MIR125B1represses the degradation of the PML-RARA oncoprotein by an autophagy-lysosomal pathway in acute promyelocytic leukemia. Autophagy. 10(10). 1726–1737. 43 indexed citations
17.
Wei, Panpan, Bo‐Wei Han, & Yujie Chen. (2013). Role of long non-coding RNAs in normal and malignant hematopoiesis. Science China Life Sciences. 56(10). 867–875. 8 indexed citations
18.
Wang, Wentao, et al.. (2012). Circulating MicroRNAs Identified in a Genome-Wide Serum MicroRNA Expression Analysis as Noninvasive Biomarkers for Endometriosis. The Journal of Clinical Endocrinology & Metabolism. 98(1). 281–289. 143 indexed citations
19.
Lin, Kangyu, Xingju Zhang, Dandan Feng, et al.. (2011). miR-125b, a Target of CDX2, Regulates Cell Differentiation through Repression of the Core Binding Factor in Hematopoietic Malignancies. Journal of Biological Chemistry. 286(44). 38253–38263. 61 indexed citations
20.
Feng, Dandan, Hua Zhang, Peng Zhang, et al.. (2010). Down‐regulated miR‐331–5p and miR‐27a are associated with chemotherapy resistance and relapse in leukaemia. Journal of Cellular and Molecular Medicine. 15(10). 2164–2175. 156 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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