Bingsi Li

938 total citations
21 papers, 393 citations indexed

About

Bingsi Li is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bingsi Li has authored 21 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 13 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bingsi Li's work include Cancer Genomics and Diagnostics (12 papers), Epigenetics and DNA Methylation (8 papers) and Cancer-related molecular mechanisms research (5 papers). Bingsi Li is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Epigenetics and DNA Methylation (8 papers) and Cancer-related molecular mechanisms research (5 papers). Bingsi Li collaborates with scholars based in China, United States and United Kingdom. Bingsi Li's co-authors include Licia Selleri, Elisabetta Ferretti, Trevor Williams, Jill Dixon, Matthew J. Anderson, Victoria A. Wells, Courtney M. Karner, Jean M. Hébert, Michael J. Depew and Rediet Zewdu and has published in prestigious journals such as Journal of Clinical Oncology, The EMBO Journal and Development.

In The Last Decade

Bingsi Li

19 papers receiving 390 citations

Peers

Bingsi Li
Zulekha A. Qadeer United States
Moonsup Lee United States
Karine Sii-Felice France
Marjo Aitola Finland
Jane A. Wakeman United Kingdom
Abhishek Sampath Kumar United States
Jan Gronych Germany
Lan-Hsin Wang Taiwan
Holger Weishaupt Sweden
Irène Aksoy France
Zulekha A. Qadeer United States
Bingsi Li
Citations per year, relative to Bingsi Li Bingsi Li (= 1×) peers Zulekha A. Qadeer

Countries citing papers authored by Bingsi Li

Since Specialization
Citations

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

Fields of papers citing papers by Bingsi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingsi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Bingsi Li. A scholar is included among the top collaborators of Bingsi Li 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 Bingsi Li. Bingsi Li 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.
Yang, Tian, Ming-Da Wang, Nanya Wang, et al.. (2025). Cost‐Effective Identification of Hepatocellular Carcinoma from Cirrhosis or Chronic Hepatitis Virus Infection Using Eight Methylated Plasma DNA Markers. Advanced Science. 12(19). e2411945–e2411945.
2.
Chen, Kezhong, Guannan Kang, Zhihong Zhang, et al.. (2023). Individualized dynamic methylation-based analysis of cell-free DNA in postoperative monitoring of lung cancer. BMC Medicine. 21(1). 255–255. 13 indexed citations
3.
Li, Ning, Zhu Xin, Weiqi Nian, et al.. (2022). Blood-based DNA methylation profiling for the detection of ovarian cancer. Gynecologic Oncology. 167(2). 295–305. 7 indexed citations
4.
Ji, Jun, Yu Xu, Yan Zhu, et al.. (2022). Common DNA methylation changes in biliary tract cancers identify subtypes with different immune characteristics and clinical outcomes. BMC Medicine. 20(1). 64–64. 14 indexed citations
5.
Li, Bingsi, Jing Su, Jiayue Xu, et al.. (2022). Abstract 5109: Development of cfDNA reference standards for methylation-sequencing tests. Cancer Research. 82(12_Supplement). 5109–5109.
6.
Gao, Qiang, Jiayue Xu, Guoqiang Wang, et al.. (2022). Clinical validation of a multicancer detection blood test by circulating cell-free DNA (cfDNA) methylation sequencing: The THUNDER study.. Journal of Clinical Oncology. 40(16_suppl). 10544–10544. 3 indexed citations
7.
Li, Bingsi, Jing Su, Guangliang Zhang, et al.. (2022). Abstract 5116: Analytical performance of ELSA-seq, a blood-based test for early detection of multiple cancers. Cancer Research. 82(12_Supplement). 5116–5116. 1 indexed citations
8.
Zeng, Daxiong, Chuanyong Mu, Jian‐An Huang, et al.. (2021). Cell-free DNA from bronchoalveolar lavage fluid (BALF): a new liquid biopsy medium for identifying lung cancer. Annals of Translational Medicine. 9(13). 1080–1080. 22 indexed citations
9.
Zhuang, Weitao, Xiaosong Ben, Chengcheng Li, et al.. (2021). Discovery and validation of methylation signatures in circulating cell-free DNA for early detection of esophageal cancer: A case-control study.. Journal of Clinical Oncology. 39(15_suppl). e16027–e16027. 1 indexed citations
10.
Ji, Jun, Yu Xu, Yan Zhu, et al.. (2021). Epigenomic analysis of biliary tract cancer identifies subtypes with different immune characteristics and clinical outcomes.. Journal of Clinical Oncology. 39(15_suppl). e16153–e16153. 1 indexed citations
11.
Gao, Qiang, Bingsi Li, Shangli Cai, et al.. (2021). Early detection and localization of multiple cancers using a blood-based methylation assay (ELSA-seq).. Journal of Clinical Oncology. 39(3_suppl). 459–459. 4 indexed citations
12.
Jiang, Junhong, Chuanyong Mu, Daxiong Zeng, et al.. (2020). Abstract 2311: Cell-free DNA from bronchoalveolar lavage fluid (BALF) for the identification of lung cancer: A new medium of liquid biopsy. Cancer Research. 80(16_Supplement). 2311–2311. 2 indexed citations
13.
Li, Ning, Yu Zhang, Xin Zhu, et al.. (2020). Abstract 2302: Methylation profiling of circulating tumor DNA for the detection of ovarian cancer. Cancer Research. 80(16_Supplement). 2302–2302. 1 indexed citations
14.
Li, Bingsi, Chenyang Wang, Jiayue Xu, et al.. (2020). Abstract A06: Multiplatform analysis of early-stage cancer signatures in blood. Clinical Cancer Research. 26(11_Supplement). A06–A06. 5 indexed citations
15.
16.
Liang, Naixin, Bingsi Li, Chenyang Wang, et al.. (2019). Abstract 816: DNA methylation profiling from circulating tumor DNA for early diagnosis of non-small cell lung cancer. Cancer Research. 79(13_Supplement). 816–816. 1 indexed citations
17.
Risolino, Maurizio, Bingsi Li, James Hart, et al.. (2018). Face morphogenesis is promoted by Pbx-dependent EMT via regulation of Snail1 during frontonasal prominence fusion. Development. 145(5). 29 indexed citations
18.
Li, Bingsi, Enrique M. Toledo, Pia Rivetti di Val Cervo, et al.. (2016). A PBX1 transcriptional network controls dopaminergic neuron development and is impaired in Parkinson's disease. The EMBO Journal. 35(18). 1963–1978. 84 indexed citations
19.
Ferretti, Elisabetta, Bingsi Li, Rediet Zewdu, et al.. (2011). A Conserved Pbx-Wnt-p63-Irf6 Regulatory Module Controls Face Morphogenesis by Promoting Epithelial Apoptosis. Developmental Cell. 21(4). 627–641. 142 indexed citations
20.
Li, Bingsi, et al.. (2010). Different domains of C. elegans PAR-3 are required at different times in development. Developmental Biology. 344(2). 745–757. 36 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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