Chengxiu Pu

617 total citations · 1 hit paper
7 papers, 344 citations indexed

About

Chengxiu Pu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Chengxiu Pu has authored 7 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Chengxiu Pu's work include RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer-related gene regulation (2 papers). Chengxiu Pu is often cited by papers focused on RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer-related gene regulation (2 papers). Chengxiu Pu collaborates with scholars based in China. Chengxiu Pu's co-authors include Xiang Xu, Luoquan Ao, Wei Xing, Xiang Ao, Xiaofeng Wu, Quan Chen, Yu Yang, Weijun Wan, Mengwei Yao and Donglin Luo and has published in prestigious journals such as Molecular Cancer, Frontiers in Oncology and International Journal of Biological Sciences.

In The Last Decade

Chengxiu Pu

6 papers receiving 342 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.

METTL3/IGF2BP3 axis inhibits tumor immune surveillance by upregulating N6-methyladenosine modification of PD-L1 mRNA in breast cancer

2022 276 citations Weijun Wan, Xiang Ao et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengxiu Pu China	4	275	157	70	41	27	7	344
Fanlu Li China	8	173 0.6×	123 0.8×	55 0.8×	47 1.1×	8 0.3×	13	261
Ruihong Bai China	8	439 1.6×	272 1.7×	71 1.0×	34 0.8×	19 0.7×	9	503
Jiameng Yao China	4	307 1.1×	168 1.1×	49 0.7×	51 1.2×	18 0.7×	5	346
Kaiqing Wu China	4	332 1.2×	208 1.3×	76 1.1×	46 1.1×	20 0.7×	4	399
Chenglai Dong China	7	401 1.5×	260 1.7×	79 1.1×	51 1.2×	20 0.7×	10	482
Jianmin Wu China	8	224 0.8×	117 0.7×	123 1.8×	74 1.8×	17 0.6×	13	354
Lichong Yan China	7	345 1.3×	218 1.4×	25 0.4×	33 0.8×	16 0.6×	9	401
Yilong Ai China	13	284 1.0×	187 1.2×	47 0.7×	32 0.8×	11 0.4×	24	375
Wenyun Jia China	8	287 1.0×	140 0.9×	64 0.9×	15 0.4×	44 1.6×	9	341

Countries citing papers authored by Chengxiu Pu

Since Specialization

Citations

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

Fields of papers citing papers by Chengxiu Pu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengxiu Pu

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

All Works

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7 of 7 papers shown

1.

Hu, Xueting, Chengxiu Pu, Luoquan Ao, et al.. (2025). Lactylation-driven METTL3 regulates wound healing by enhancing m6A/HNRNPA2B1/DNMT1 signaling in keratinocytes. Genes & Diseases. 13(3). 101787–101787.

2.

Hu, Xueting, Xiaofeng Wu, Luoquan Ao, et al.. (2024). The GRHL3-regulated long non-coding RNA lnc-DC modulates keratinocytes differentiation by interacting with IGF2BP2 and up-regulating ZNF750. Journal of Dermatological Science. 113(3). 93–102. 2 indexed citations

3.

Ao, Xiang, Mei Huang, Wei Xing, et al.. (2023). Lavender essential oil accelerates lipopolysaccharide‐induced chronic wound healing by inhibiting caspase‐11‐mediated macrophage pyroptosis. The Kaohsiung Journal of Medical Sciences. 39(5). 511–521. 12 indexed citations

4.

Hu, Xueting, Wei Xing, Xiaofeng Wu, et al.. (2023). B2M is a Biomarker Associated With Immune Infiltration In High Altitude Pulmonary Edema. Combinatorial Chemistry & High Throughput Screening. 27(1). 168–185. 4 indexed citations

5.

Wan, Weijun, Xiang Ao, Quan Chen, et al.. (2022). METTL3/IGF2BP3 axis inhibits tumor immune surveillance by upregulating N6-methyladenosine modification of PD-L1 mRNA in breast cancer. Molecular Cancer. 21(1). 60–60. 276 indexed citations breakdown →

6.

Chen, Quan, Yuhong Li, Mengxia Li, et al.. (2022). Risk Factors on the Incidence and Prognostic Effects of Colorectal Cancer With Brain Metastasis: A SEER-Based Study. Frontiers in Oncology. 12. 758681–758681. 3 indexed citations

7.

Ao, Xiang, Luoquan Ao, Xiaofeng Wu, et al.. (2021). TNF-α augments CXCL10/CXCR3 axis activity to induce Epithelial-Mesenchymal Transition in colon cancer cell. International Journal of Biological Sciences. 17(11). 2683–2702. 47 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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