Junbin Qian

5.1k total citations · 1 hit paper
23 papers, 1.2k citations indexed

About

Junbin Qian is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Junbin Qian has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Cell Biology and 8 papers in Oncology. Recurrent topics in Junbin Qian's work include Microtubule and mitosis dynamics (8 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Ubiquitin and proteasome pathways (4 papers). Junbin Qian is often cited by papers focused on Microtubule and mitosis dynamics (8 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Ubiquitin and proteasome pathways (4 papers). Junbin Qian collaborates with scholars based in Belgium, China and United States. Junbin Qian's co-authors include Mathieu Bollen, Bart Lesage, Monique Beullens, Aleyde Van Eynde, Bram Boeckx, Ayse Bassez, Diether Lambrechts, Ingrid Arijs, Laurien Van Dyck and Hanne Vos and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Medicine and Nature Communications.

In The Last Decade

Junbin Qian

21 papers receiving 1.1k citations

Hit Papers

A single-cell map of intratumoral changes during anti-PD1... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junbin Qian Belgium 14 766 422 381 316 129 23 1.2k
Damon B. Bowe United States 10 716 0.9× 257 0.6× 148 0.4× 247 0.8× 109 0.8× 11 949
Yawei Hao Canada 13 1.2k 1.6× 297 0.7× 1.4k 3.6× 121 0.4× 129 1.0× 19 1.9k
Apoorva Baluapuri Germany 18 886 1.2× 250 0.6× 138 0.4× 109 0.3× 145 1.1× 25 1.1k
Hara Polioudaki Greece 14 622 0.8× 401 1.0× 175 0.5× 77 0.2× 217 1.7× 23 1.0k
Yvonne Chao United States 8 528 0.7× 397 0.9× 154 0.4× 84 0.3× 192 1.5× 11 881
Yulong Liang China 20 890 1.2× 280 0.7× 185 0.5× 125 0.4× 212 1.6× 48 1.1k
Alessandro Verrecchia Italy 17 1.1k 1.4× 446 1.1× 163 0.4× 316 1.0× 184 1.4× 23 1.4k
Tackhoon Kim South Korea 15 604 0.8× 190 0.5× 593 1.6× 63 0.2× 90 0.7× 25 978
Gianluca Sigismondo Germany 14 612 0.8× 161 0.4× 312 0.8× 89 0.3× 61 0.5× 21 876
Alper Yetil United States 5 951 1.2× 322 0.8× 99 0.3× 141 0.4× 208 1.6× 5 1.2k

Countries citing papers authored by Junbin Qian

Since Specialization
Citations

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

Fields of papers citing papers by Junbin Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junbin Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Junbin Qian. A scholar is included among the top collaborators of Junbin Qian 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 Junbin Qian. Junbin Qian 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.
2.
Hu, Xiaoyue, et al.. (2025). Reference-informed evaluation of batch correction for single-cell omics data with overcorrection awareness. Communications Biology. 8(1). 521–521. 2 indexed citations
3.
Meng, Qing, Ying He, Zhenyu Ju, et al.. (2024). Cancer-Associated Fibroblasts Expressing Sulfatase 1 Facilitate VEGFA-Dependent Microenvironmental Remodeling to Support Colorectal Cancer. Cancer Research. 84(20). 3371–3387. 15 indexed citations
5.
Zhou, Yiduo, Lang Chen, Xiangji Wu, et al.. (2023). Receptor-interacting Protein Kinase 2 Is an Immunotherapy Target in Pancreatic Cancer. Cancer Discovery. 14(2). 326–347. 29 indexed citations
6.
Cappuyns, Sarah, Vincent Vandecaveye, Bram Boeckx, et al.. (2023). PD-1- CD45RA+ effector-memory CD8 T cells and CXCL10+ macrophages are associated with response to atezolizumab plus bevacizumab in advanced hepatocellular carcinoma. Nature Communications. 14(1). 7825–7825. 33 indexed citations
7.
Bassez, Ayse, Hanne Vos, Laurien Van Dyck, et al.. (2021). A single-cell map of intratumoral changes during anti-PD1 treatment of patients with breast cancer. Nature Medicine. 27(5). 820–832. 442 indexed citations breakdown →
8.
Steklov, Mikhail, Lorenzo Pasquali, Anna Sablina, et al.. (2020). Co-regulation of the antagonistic RepoMan:Aurora-B pair in proliferating cells. Molecular Biology of the Cell. 31(6). 419–438. 10 indexed citations
9.
Qian, Junbin, Lendert Gelens, & Mathieu Bollen. (2019). Coordination of Timers and Sensors in Cell Signaling. BioEssays. 41(3). e1800217–e1800217. 5 indexed citations
10.
Vos, Hanne, Ayse Bassez, Junbin Qian, et al.. (2019). Immune cell dynamics induced by a single dose of pembrolizumab as revealed by single-cell RNA profiling. Annals of Oncology. 30. iii45–iii45. 1 indexed citations
11.
Dong, Lifeng, et al.. (2019). LINC00461 promotes cell migration and invasion in breast cancer through miR‐30a‐5p/integrin β3 axis. Journal of Cellular Biochemistry. 120(4). 4851–4862. 36 indexed citations
12.
Gelens, Lendert, Junbin Qian, Mathieu Bollen, & Adrian T. Saurin. (2017). The Importance of Kinase–Phosphatase Integration: Lessons from Mitosis. Trends in Cell Biology. 28(1). 6–21. 70 indexed citations
13.
Qian, Junbin, Maria Adelaida García-Gimeno, Monique Beullens, et al.. (2017). An Attachment-Independent Biochemical Timer of the Spindle Assembly Checkpoint. Molecular Cell. 68(4). 715–730.e5. 49 indexed citations
14.
Qian, Junbin, Monique Beullens, Jin Huang, et al.. (2015). Cdk1 orders mitotic events through coordination of a chromosome-associated phosphatase switch. Nature Communications. 6(1). 10215–10215. 58 indexed citations
15.
Qian, Junbin, Monique Beullens, Bart Lesage, & Mathieu Bollen. (2013). Aurora B Defines Its Own Chromosomal Targeting by Opposing the Recruitment of the Phosphatase Scaffold Repo-Man. Current Biology. 23(12). 1136–1143. 69 indexed citations
16.
Qian, Junbin, C Winkler, & Mathieu Bollen. (2013). 4D-networking by mitotic phosphatases. Current Opinion in Cell Biology. 25(6). 697–703. 24 indexed citations
17.
Chatterjee, Jayanta, Monique Beullens, Junbin Qian, et al.. (2012). Development of a Peptide that Selectively Activates Protein Phosphatase‐1 in Living Cells. Angewandte Chemie International Edition. 51(40). 10054–10059. 68 indexed citations
18.
Chatterjee, Jayanta, Monique Beullens, Junbin Qian, et al.. (2012). Entwicklung eines Peptids zur selektiven Aktivierung von Proteinphosphatase‐1 in lebenden Zellen. Angewandte Chemie. 124(40). 10200–10206. 5 indexed citations
19.
Lesage, Bart, Junbin Qian, & Mathieu Bollen. (2011). Spindle Checkpoint Silencing: PP1 Tips the Balance. Current Biology. 21(21). R898–R903. 49 indexed citations
20.
Qian, Junbin, Bart Lesage, Monique Beullens, Aleyde Van Eynde, & Mathieu Bollen. (2011). PP1/Repo-Man Dephosphorylates Mitotic Histone H3 at T3 and Regulates Chromosomal Aurora B Targeting. Current Biology. 21(9). 766–773. 162 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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