Peijing Zhang

1.8k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

Peijing Zhang is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Peijing Zhang has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Cancer Research and 7 papers in Plant Science. Recurrent topics in Peijing Zhang's work include Circular RNAs in diseases (8 papers), Cancer-related molecular mechanisms research (6 papers) and Plant Molecular Biology Research (5 papers). Peijing Zhang is often cited by papers focused on Circular RNAs in diseases (8 papers), Cancer-related molecular mechanisms research (6 papers) and Plant Molecular Biology Research (5 papers). Peijing Zhang collaborates with scholars based in China, India and Australia. Peijing Zhang's co-authors include Ming Chen, Qi Chen, Wenyi Wu, Xianwen Meng, Jingjing Wang, Yincong Zhou, Xue Li, Sida Li, Hongjun Chen and Yongjing Liu and has published in prestigious journals such as Cell, Nature Communications and Bioinformatics.

In The Last Decade

Peijing Zhang

18 papers receiving 1.3k 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.

Non-Coding RNAs and their Integrated Networks

2019 484 citations Peijing Zhang, Wenyi Wu et al. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peijing Zhang China	12	1.1k	853	209	55	36	19	1.3k
Daniel T. Youmans United States	6	803 0.7×	501 0.6×	66 0.3×	25 0.5×	51 1.4×	7	936
Alexandros Armaos Italy	15	817 0.8×	292 0.3×	46 0.2×	9 0.2×	49 1.4×	31	946
Jennifer Gebetsberger Austria	11	789 0.7×	296 0.3×	34 0.2×	9 0.2×	40 1.1×	18	937
Suman Ghosal India	13	1.0k 1.0×	1.0k 1.2×	23 0.1×	17 0.3×	28 0.8×	21	1.3k
Justine Nuytens Belgium	6	489 0.5×	377 0.4×	18 0.1×	17 0.3×	28 0.8×	9	576
Jiasheng Zhong China	8	215 0.2×	161 0.2×	75 0.4×	26 0.5×	12 0.3×	12	336
Cencen Li China	12	389 0.4×	251 0.3×	31 0.1×	11 0.2×	80 2.2×	23	512
Panagiota Kafasla United Kingdom	11	507 0.5×	108 0.1×	58 0.3×	6 0.1×	27 0.8×	16	632
Melanie Oakes United States	16	926 0.9×	79 0.1×	76 0.4×	5 0.1×	47 1.3×	22	986

Countries citing papers authored by Peijing Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Peijing Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijing Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Peijing Zhang. A scholar is included among the top collaborators of Peijing Zhang 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 Peijing Zhang. Peijing Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Lu, Wei, Junqing Wu, Xinru Wang, et al.. (2025). Liver metastasis or peritoneal metastasis: single-cell RNA sequencing reveals the organotropism in colorectal cancer is driven by distinct partial-EMT processes. Cancer Letters. 629. 217880–217880. 1 indexed citations

Han, Xiaoping, Xueyi Wang, Yuting Fu, et al.. (2025). Modeling the vertebrate regulatory sequence landscape by UUATAC-seq and deep learning. Cell. 188(19). 5343–5362.e29.

Zhang, Peijing, Xufeng Cen, Qi Zhang, et al.. (2024). A deep learning framework for in silico screening of anticancer drugs at the single-cell level. National Science Review. 12(2). nwae451–nwae451. 5 indexed citations

Zhang, Guodong, Yuting Fu, Lei Yang, et al.. (2024). Construction of single-cell cross-species chromatin accessibility landscapes with combinatorial-hybridization-based ATAC-seq. Developmental Cell. 59(6). 793–811.e8. 5 indexed citations

Chen, Hongjun, et al.. (2023). Network integration and protein structural binding analysis of neurodegeneration-related interactome. Briefings in Bioinformatics. 24(4). 2 indexed citations

Fu, Liang-Yu, Tao Zhu, Zhaohui He, et al.. (2022). ChIP-Hub provides an integrative platform for exploring plant regulome. Nature Communications. 13(1). 3413–3413. 44 indexed citations

Guo, Fu, Peijing Zhang, Yan Wu, et al.. (2022). Rice LEAFY COTYLEDON1 Hinders Embryo Greening During the Seed Development. Frontiers in Plant Science. 13. 887980–887980. 11 indexed citations

Chao, Haoyu, et al.. (2022). Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants. International Journal of Molecular Sciences. 23(7). 3695–3695. 27 indexed citations

Zhang, Peijing, et al.. (2021). Computational Identification of miRNAs and Temperature-Responsive lncRNAs From Mango (Mangifera indica L.). Frontiers in Genetics. 12. 607248–607248. 12 indexed citations

10.

Zhang, Peijing & Ming Chen. (2021). Circular RNA Databases. Methods in molecular biology. 2362. 109–118. 4 indexed citations

11.

Zhang, Peijing, Yongjing Liu, Hongjun Chen, et al.. (2020). CircPlant: An Integrated Tool for circRNA Detection and Functional Prediction in Plants. Genomics Proteomics & Bioinformatics. 18(3). 352–358. 18 indexed citations

12.

Zhang, Peijing, Sida Li, & Ming Chen. (2020). Characterization and Function of Circular RNAs in Plants. Frontiers in Molecular Biosciences. 7. 91–91. 55 indexed citations

13.

Bai, Youhuang, et al.. (2019). PlncRNADB: A Repository of Plant lncRNAs and lncRNA-RBP Protein Interactions. Current Bioinformatics. 14(7). 621–627. 29 indexed citations

14.

Zhang, Peijing, Wenyi Wu, Qi Chen, & Ming Chen. (2019). Non-Coding RNAs and their Integrated Networks. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 16(3). 484 indexed citations breakdown →

15.

Meng, Xianwen, et al.. (2019). CircFunBase: a database for functional circular RNAs. Database. 2019. 126 indexed citations

16.

Meng, Xianwen, Peijing Zhang, Qi Chen, Jingjing Wang, & Ming Chen. (2018). Identification and characterization of ncRNA-associated ceRNA networks in Arabidopsis leaf development. BMC Genomics. 19(1). 607–607. 52 indexed citations

17.

Zhang, Peijing, Xianwen Meng, Hongjun Chen, et al.. (2017). PlantCircNet: a database for plant circRNA–miRNA–mRNA regulatory networks. Database. 2017. 48 indexed citations

18.

Meng, Xianwen, Qi Chen, Peijing Zhang, & Ming Chen. (2017). CircPro: an integrated tool for the identification of circRNAs with protein-coding potential. Bioinformatics. 33(20). 3314–3316. 86 indexed citations

19.

Meng, Xianwen, Xue Li, Peijing Zhang, et al.. (2016). Circular RNA: an emerging key player in RNA world. Briefings in Bioinformatics. 18(4). bbw045–bbw045. 257 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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