Peizhi Ma

722 total citations · 1 hit paper
21 papers, 571 citations indexed

About

Peizhi Ma is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Peizhi Ma has authored 21 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Peizhi Ma's work include Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Peizhi Ma is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Peizhi Ma collaborates with scholars based in China, United States and Italy. Peizhi Ma's co-authors include Gang Jia, Zhiyu Song, Shundong Cang, Fengqin Fang, Yuanlong Li, Jun Sun, Wei Zhang, Hua Fan, Ming Ni and Kun Li and has published in prestigious journals such as Neuroscience, Annals of Oncology and Sensors and Actuators B Chemical.

In The Last Decade

Peizhi Ma

19 papers receiving 567 citations

Hit Papers

Exosomal miR-4443 promote... 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. Exosomal miR-4443 promotes cisplatin resistance in non-small cell lung carcinoma by regulating FSP1 m6A modification-mediated ferroptosis
    2021 204 citations Zhiyu Song, Gang Jia et al. Life Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peizhi Ma China 10 422 342 129 45 32 21 571
С. В. Никулин Russia 14 313 0.7× 180 0.5× 72 0.6× 89 2.0× 24 0.8× 61 608
Xuanzhong Wang China 15 492 1.2× 321 0.9× 351 2.7× 113 2.5× 24 0.8× 26 822
Johann Matschke Germany 13 380 0.9× 224 0.7× 143 1.1× 58 1.3× 11 0.3× 26 563
Chao Wei China 13 436 1.0× 279 0.8× 161 1.2× 70 1.6× 23 0.7× 22 694
Luca X. Zampieri Belgium 12 387 0.9× 249 0.7× 57 0.4× 103 2.3× 7 0.2× 13 572
Yuanda Liu China 7 373 0.9× 307 0.9× 62 0.5× 67 1.5× 14 0.4× 11 560
Yu-Jung Chen United States 8 303 0.7× 164 0.5× 49 0.4× 60 1.3× 9 0.3× 11 463
Marike W. van Gisbergen Netherlands 14 315 0.7× 207 0.6× 68 0.5× 61 1.4× 6 0.2× 20 508
Kristiina Nordfors Finland 11 404 1.0× 145 0.4× 43 0.3× 55 1.2× 9 0.3× 27 513

Countries citing papers authored by Peizhi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Peizhi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peizhi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Peizhi Ma. A scholar is included among the top collaborators of Peizhi Ma 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 Peizhi Ma. Peizhi Ma 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.
Marks, J.A., Kieran Sweeney, Andrew Elliott, et al.. (2024). P3.13D.11 SEZ6 Expression in Neuroendocrine Tumors. Journal of Thoracic Oncology. 19(10). S364–S364.
2.
3.
Li, Yuanlong, Hua Fan, Ming Ni, et al.. (2023). Targeting lncRNA NEAT1 Hampers Alzheimer’s Disease Progression. Neuroscience. 529. 88–98. 7 indexed citations
4.
Jiang, Dandan, et al.. (2023). Driving natural killer cell-based cancer immunotherapy for cancer treatment: An arduous journey to promising ground. Biomedicine & Pharmacotherapy. 165. 115004–115004. 7 indexed citations
5.
Reuss, Joshua E., Nishant Gandhi, Phillip Walker, et al.. (2023). 1399P Tumor-immune microenvironment analysis of de novo and acquired KRAS-mutated non-small cell lung cancer. Annals of Oncology. 34. S800–S801. 1 indexed citations
6.
Li, Yuanlong, Xiong Han, Hua Fan, et al.. (2022). Circular RNA AXL increases neuron injury and inflammation through targeting microRNA-328 mediated BACE1 in Alzheimer’s disease. Neuroscience Letters. 776. 136531–136531. 27 indexed citations
7.
Li, Yuanlong, Hua Fan, Jun Sun, et al.. (2022). PR-957 Suppresses Th1 and Th17 Cell Differentiation via Inactivating PI3K/AKT Pathway in Alzheimer’s Disease. Neuroscience. 510. 82–94. 6 indexed citations
8.
Ma, Peizhi, et al.. (2022). Canagliflozin, characterized as a HDAC6 inhibitor, inhibits gastric cancer metastasis. Frontiers in Oncology. 12. 1057455–1057455. 15 indexed citations
9.
Song, Zhiyu, Gang Jia, Peizhi Ma, & Shundong Cang. (2021). Exosomal miR-4443 promotes cisplatin resistance in non-small cell lung carcinoma by regulating FSP1 m6A modification-mediated ferroptosis. Life Sciences. 276. 119399–119399. 204 indexed citations breakdown →
10.
11.
Khan, Saad A., Zijie Sun, Rathi N. Pillai, et al.. (2021). MA01.09 Efficacy and Safety of Glembatumumab Vedotin in Patients With Advanced or Metastatic Squamous Cell Carcinoma of the Lung (PrECOG 0504). Journal of Thoracic Oncology. 16(3). S131–S132.
12.
Luo, Qingqing, et al.. (2021). MiR-142-3p ameliorates high glucose-induced renal tubular epithelial cell injury by targeting BOD1. Clinical and Experimental Nephrology. 25(11). 1182–1192. 15 indexed citations
13.
Ma, Peizhi, Gang Jia, & Zhiyu Song. (2021). Monobenzone, a Novel and Potent KDM1A Inhibitor, Suppresses Migration of Gastric Cancer Cells. Frontiers in Pharmacology. 12. 640949–640949. 6 indexed citations
14.
Li, Yuanlong, Hua Fan, Jun Sun, et al.. (2020). Circular RNA expression profile of Alzheimer’s disease and its clinical significance as biomarkers for the disease risk and progression. The International Journal of Biochemistry & Cell Biology. 123. 105747–105747. 81 indexed citations
15.
Lim, Zita Dubauskas, Lingling Zhu, Heiko Yang, et al.. (2019). P2.04-26 Single Cell Proteomics Profiling of Live T-Cells in KRAS+ and MET-Amp NSCLC to Predict Immune Checkpoint Inhibitor Response. Journal of Thoracic Oncology. 14(10). S718–S718. 2 indexed citations
16.
Bravo, Gabriela, Misako Nagasaka, Peizhi Ma, et al.. (2019). P2.01-100 Spectrum of EGFR Exon 20 Insertion Mutations and Co-Occurring Genetic Alterations in Patients with Non-Small-Cell Lung Cancer. Journal of Thoracic Oncology. 14(10). S680–S680. 2 indexed citations
17.
18.
Zhao, Fei, Xuezheng Wang, Peizhi Ma, et al.. (2018). Highly sensitive bifunctional sensor of a dinuclear terbium complex. Sensors and Actuators B Chemical. 270. 452–458. 27 indexed citations
19.
Fabrizio, David, Coren A. Milbury, Wai‐Ki Yip, et al.. (2018). Analytic validation of tumor mutational burden as a companion diagnostic for combination immunotherapy in non-small cell lung cancer. Annals of Oncology. 29. viii16–viii16. 9 indexed citations
20.
Pilotto, Sara, Luisa Carbognin, Niki Karachaliou, et al.. (2017). Tracking MET de-addiction in lung cancer: A road towards the oncogenic target. Cancer Treatment Reviews. 60. 1–11. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by С. В. Никулин Breakdown of academic impact, for papers by Xuanzhong Wang Breakdown of academic impact, for papers by Johann Matschke Breakdown of academic impact, for papers by Chao Wei Breakdown of academic impact, for papers by Luca X. Zampieri Breakdown of academic impact, for papers by Yuanda Liu Breakdown of academic impact, for papers by Yu-Jung Chen Breakdown of academic impact, for papers by Marike W. van Gisbergen Breakdown of academic impact, for papers by Kristiina Nordfors
Rankless by CCL
2026