Weifeng Ma

730 total citations · 1 hit paper
27 papers, 557 citations indexed

About

Weifeng Ma is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Weifeng Ma has authored 27 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Immunology. Recurrent topics in Weifeng Ma's work include Chemokine receptors and signaling (7 papers), Synthesis and biological activity (4 papers) and Immunotherapy and Immune Responses (4 papers). Weifeng Ma is often cited by papers focused on Chemokine receptors and signaling (7 papers), Synthesis and biological activity (4 papers) and Immunotherapy and Immune Responses (4 papers). Weifeng Ma collaborates with scholars based in China, United States and Russia. Weifeng Ma's co-authors include Wen‐Wei You, Pei‐Liang Zhao, Wei Tang, Jielin Chen, Yuchen Wang, Fang Yang, Peng-Cheng Diao, Zhijie Wang, Jun Du and Hong‐Yuan Chen and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Hydrogen Energy and Frontiers in Immunology.

In The Last Decade

Weifeng Ma

26 papers receiving 549 citations

Hit Papers

EEG emotion recognition using improved graph neural netwo... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weifeng Ma China 14 171 164 85 67 51 27 557
Mingdong Li China 12 138 0.8× 51 0.3× 61 0.7× 11 0.2× 6 0.1× 40 420
Qiming Wang China 12 341 2.0× 43 0.3× 74 0.9× 17 0.3× 2 0.0× 79 820
Yibo Huang China 14 251 1.5× 33 0.2× 31 0.4× 76 1.1× 17 0.3× 58 550
Shenghao Li China 11 92 0.5× 15 0.1× 30 0.4× 62 0.9× 25 0.5× 29 379
Meihua Xu China 13 206 1.2× 10 0.1× 151 1.8× 46 0.7× 13 0.3× 83 610
Václav Beránek Czechia 18 771 4.5× 172 1.0× 36 0.4× 10 0.1× 4 0.1× 33 1.3k
Gao Wang China 18 835 4.9× 76 0.5× 42 0.5× 14 0.2× 8 0.2× 60 1.6k
Jiale Liu China 16 347 2.0× 10 0.1× 86 1.0× 27 0.4× 16 0.3× 74 665
Qingnan Li China 19 471 2.8× 37 0.2× 87 1.0× 4 0.1× 3 0.1× 81 969
Jingheng Wang China 10 63 0.4× 19 0.1× 41 0.5× 15 0.2× 29 0.6× 39 320

Countries citing papers authored by Weifeng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Weifeng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weifeng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Weifeng Ma. A scholar is included among the top collaborators of Weifeng 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 Weifeng Ma. Weifeng 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
2.
Dong, Ying, Bingyang Zhang, А. Н. Мурашев, et al.. (2024). Development of Cas13a-based therapy for cancer treatment. Molecular Biology Reports. 51(1). 94–94. 5 indexed citations
3.
Luo, Jinheng, et al.. (2023). Combining precursor and Cloud Leaky noisy-OR logic gate Bayesian network for dynamic probability analysis of major accidents in the oil depots. Reliability Engineering & System Safety. 241. 109625–109625. 14 indexed citations
4.
Chen, Jielin, et al.. (2023). EEG emotion recognition using improved graph neural network with channel selection. Computer Methods and Programs in Biomedicine. 231. 107380–107380. 72 indexed citations breakdown →
5.
Ma, Weifeng, et al.. (2022). An integrated risk assessment methodology based on fuzzy TOPSIS and cloud inference for urban polyethylene gas pipelines. Journal of Cleaner Production. 376. 134332–134332. 18 indexed citations
6.
Gao, Lixia, Jie Yang, Ju-Tao Feng, et al.. (2022). PreS/2-21-Guided siRNA Nanoparticles Target to Inhibit Hepatitis B Virus Infection and Replication. Frontiers in Immunology. 13. 856463–856463. 8 indexed citations
7.
Yu, Hailing, Zhenhua Chen, Guanfeng Lin, et al.. (2021). CRISPR-Cas13a-Based Diagnostic Method for Chlamydia Trachomatis from Nongonococcal Urethritis. Bioanalysis. 13(11). 901–912. 3 indexed citations
8.
He, Yuwen, et al.. (2020). Value of Viral Nucleic Acid in Sputum and Feces and Specific IgM/IgG in Serum for the Diagnosis of Coronavirus Disease 2019. Frontiers in Cellular and Infection Microbiology. 10. 445–445. 11 indexed citations
9.
Ma, Weifeng, Peng Chen, Yanhong Li, et al.. (2020). Development of triazolothiadiazine derivatives as highly potent tubulin polymerization inhibitors: Structure-activity relationship, in vitro and in vivo study. European Journal of Medicinal Chemistry. 208. 112847–112847. 39 indexed citations
10.
Yang, Fang, Peng-Cheng Diao, Xie‐Er Jian, et al.. (2019). Novel [1,2,4]triazolo[1,5-a]pyrimidine derivatives as potent antitubulin agents: Design, multicomponent synthesis and antiproliferative activities. Bioorganic Chemistry. 92. 103260–103260. 64 indexed citations
11.
Tan, Suiyi, Wenjuan Li, Zhaofeng Li, et al.. (2019). A Novel CXCR4 Targeting Protein SDF-1/54 as an HIV-1 Entry Inhibitor. Viruses. 11(9). 874–874. 10 indexed citations
12.
Zou, Yujiao, Ling Qin, Weifeng Ma, et al.. (2017). TIMELESS contributes to the progression of breast cancer through activation of MYC. Breast Cancer Research. 19(1). 53–53. 35 indexed citations
13.
Wu, Jie, Xue Li, Qiaohong Yang, et al.. (2017). Gigantol from Dendrobium chrysotoxum Lindl. binds and inhibits aldose reductase gene to exert its anti-cataract activity: An in vitro mechanistic study. Journal of Ethnopharmacology. 198. 255–261. 25 indexed citations
14.
Cui, Yanmei, Weifeng Ma, Fangyong Lei, et al.. (2016). Prostate tumour overexpressed‐1 promotes tumourigenicity in human breast cancer via activation of Wnt/β‐catenin signalling. The Journal of Pathology. 239(3). 297–308. 21 indexed citations
15.
Jiang, Guanmin, Hongsheng Wang, Jun Du, et al.. (2016). Bortezomib Relieves Immune Tolerance in Nasopharyngeal Carcinoma via STAT1 Suppression and Indoleamine 2,3-Dioxygenase Downregulation. Cancer Immunology Research. 5(1). 42–51. 27 indexed citations
16.
Chen, Hong‐Yuan, et al.. (2015). Phenotypic Knockout of CXCR4 Expression by a Novel Intrakine Mutant hSDF-1α/54/KDEL Inhibits Breast Cancer Metastasis. Journal of Interferon & Cytokine Research. 35(10). 771–778. 1 indexed citations
17.
Ma, Weifeng, Hai‐Kui Yang, Tianzhu Ma, et al.. (2014). One-pot synthesis and antiproliferative activity of novel 2,4-diaminopyrimidine derivatives bearing piperidine and piperazine moieties. European Journal of Medicinal Chemistry. 84. 127–134. 24 indexed citations
18.
Zhao, Pei‐Liang, et al.. (2012). One-pot synthesis of novel isoindoline-1,3-dione derivatives bearing 1,2,4-triazole moiety and their preliminary biological evaluation. European Journal of Medicinal Chemistry. 54. 813–822. 52 indexed citations
19.
Guo, Zhigang, Shaoxi Cai, Rui Fang, et al.. (2007). The synergistic effects of CXCR4 and EGFR on promoting EGF-mediated metastasis in ovarian cancer cells. Colloids and Surfaces B Biointerfaces. 60(1). 1–6. 23 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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