Zhouzerui Liu

4.1k total citations · 2 hit papers
5 papers, 2.5k citations indexed

About

Zhouzerui Liu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Zhouzerui Liu has authored 5 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Zhouzerui Liu's work include Single-cell and spatial transcriptomics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune Cell Function and Interaction (2 papers). Zhouzerui Liu is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune Cell Function and Interaction (2 papers). Zhouzerui Liu collaborates with scholars based in United States, China and Germany. Zhouzerui Liu's co-authors include Ming-Hui Dong, Chunhong Zheng, Zemin Zhang, Qiming Zhang, Boxi Kang, Liangtao Zheng, Yuanyuan Zhang, Xueda Hu, Jae‐Kwang Yoo and Jirun Peng and has published in prestigious journals such as Cell, Nature Medicine and Scientific Reports.

In The Last Decade

Zhouzerui Liu

5 papers receiving 2.5k 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.

Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing

2017 1.4k citations Chunhong Zheng, Liangtao Zheng et al. Cell profile →
Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing

2018 990 citations Xinyi Guo, Yuanyuan Zhang et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhouzerui Liu United States	5	1.4k	1.4k	1.1k	520	380	5	2.5k
Jirun Peng China	16	1.1k 0.8×	1.1k 0.8×	1.2k 1.1×	624 1.2×	363 1.0×	26	2.5k
Liangtao Zheng China	10	2.4k 1.7×	2.3k 1.7×	1.7k 1.6×	800 1.5×	550 1.4×	14	4.1k
Chun Jye Lim Singapore	17	578 0.4×	832 0.6×	1.4k 1.3×	228 0.4×	265 0.7×	22	3.2k
Ranran Gao China	12	2.7k 2.0×	2.6k 1.9×	2.0k 1.8×	820 1.6×	571 1.5×	16	4.5k
Artur Mezheyeuski Sweden	22	542 0.4×	1.0k 0.8×	796 0.7×	474 0.9×	391 1.0×	64	1.9k
Jason Madore Australia	25	1.0k 0.7×	1.6k 1.2×	756 0.7×	320 0.6×	459 1.2×	32	2.5k
Heidrun Gevensleben Germany	27	458 0.3×	904 0.7×	954 0.9×	537 1.0×	639 1.7×	56	2.1k
Amanda Khuong United States	8	1.2k 0.9×	1.2k 0.9×	840 0.8×	446 0.9×	755 2.0×	9	2.6k
Hanqiang Ouyang China	10	981 0.7×	833 0.6×	801 0.7×	305 0.6×	239 0.6×	23	1.8k

Countries citing papers authored by Zhouzerui Liu

Since Specialization

Citations

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

Fields of papers citing papers by Zhouzerui Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhouzerui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhouzerui Liu. A scholar is included among the top collaborators of Zhouzerui 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 Zhouzerui Liu. Zhouzerui 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:

5 of 5 papers shown

1.

Liu, Zhouzerui, Angeliki Mela, Michael Argenziano, et al.. (2023). Single-cell analysis of 5-aminolevulinic acid intraoperative labeling specificity for glioblastoma. Journal of neurosurgery. 140(4). 968–978. 13 indexed citations

2.

Mizrak, Doğukan, N. Sumru Bayın, Jinzhou Yuan, et al.. (2020). Single-Cell Profiling and SCOPE-Seq Reveal Lineage Dynamics of Adult Ventricular-Subventricular Zone Neurogenesis and NOTUM as a Key Regulator. Cell Reports. 31(12). 107805–107805. 45 indexed citations

3.

Liu, Zhouzerui, Jinzhou Yuan, Anna Lasorella, et al.. (2020). Integrating single-cell RNA-seq and imaging with SCOPE-seq2. Scientific Reports. 10(1). 19482–19482. 15 indexed citations

4.

Guo, Xinyi, Yuanyuan Zhang, Liangtao Zheng, et al.. (2018). Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing. Nature Medicine. 24(7). 978–985. 990 indexed citations breakdown →

5.

Zheng, Chunhong, Liangtao Zheng, Jae‐Kwang Yoo, et al.. (2017). Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing. Cell. 169(7). 1342–1356.e16. 1410 indexed citations breakdown →

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