Dapeng Ma

1.4k total citations
22 papers, 473 citations indexed

About

Dapeng Ma is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Dapeng Ma has authored 22 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Immunology. Recurrent topics in Dapeng Ma's work include interferon and immune responses (4 papers), Immune cells in cancer (4 papers) and Inflammasome and immune disorders (3 papers). Dapeng Ma is often cited by papers focused on interferon and immune responses (4 papers), Immune cells in cancer (4 papers) and Inflammasome and immune disorders (3 papers). Dapeng Ma collaborates with scholars based in China, United States and Egypt. Dapeng Ma's co-authors include Caiyu Sun, Lihui Han, Yueke Lin, Yunxue Zhao, Xiaomin Ma, Lihui Zhu, Zhenzhi Qin, Yumin Qiu, Xuecheng Shen and Tao Li and has published in prestigious journals such as The Journal of Immunology, The Journal of Infectious Diseases and Science Advances.

In The Last Decade

Dapeng Ma

22 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dapeng Ma China 14 291 193 86 85 68 22 473
Siyu Tan China 13 262 0.9× 220 1.1× 89 1.0× 154 1.8× 103 1.5× 29 548
Yueke Lin China 11 255 0.9× 188 1.0× 57 0.7× 72 0.8× 61 0.9× 14 378
Caiyu Sun China 13 269 0.9× 177 0.9× 57 0.7× 70 0.8× 66 1.0× 19 399
Torunn Bruland Norway 15 238 0.8× 191 1.0× 77 0.9× 124 1.5× 87 1.3× 39 596
Ziyu Wang China 13 300 1.0× 236 1.2× 183 2.1× 94 1.1× 123 1.8× 30 639
Upik Anderiani Miskad Indonesia 9 316 1.1× 162 0.8× 71 0.8× 108 1.3× 66 1.0× 59 506
Lihui Zhu China 11 318 1.1× 209 1.1× 67 0.8× 91 1.1× 77 1.1× 13 445
Xiaoxin Mu China 12 277 1.0× 85 0.4× 93 1.1× 108 1.3× 136 2.0× 18 469
Qin Guo China 8 276 0.9× 87 0.5× 77 0.9× 105 1.2× 102 1.5× 23 492
Xue-Chun Lu China 12 233 0.8× 209 1.1× 45 0.5× 182 2.1× 39 0.6× 39 560

Countries citing papers authored by Dapeng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapeng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Dapeng Ma. A scholar is included among the top collaborators of Dapeng 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 Dapeng Ma. Dapeng 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.
Teng, Yue, Dapeng Ma, Yan Yan, et al.. (2024). Retrospective cohort study for thrombocytopenia during concurrent chemoradiotherapy for rectal cancer. Frontiers in Oncology. 13. 1289824–1289824. 1 indexed citations
2.
Ma, Dapeng, Min Yang, Caiyu Sun, et al.. (2024). cGAS suppresses hepatocellular carcinoma independent of its cGAMP synthase activity. Cell Death and Differentiation. 31(6). 722–737. 9 indexed citations
3.
Yang, Min, Zhenzhi Qin, Yueke Lin, et al.. (2024). HDAC10 switches NLRP3 modification from acetylation to ubiquitination and attenuates acute inflammatory diseases. Cell Communication and Signaling. 22(1). 615–615. 8 indexed citations
4.
Zhang, Rongqing, et al.. (2023). Identification of the shared molecular mechanisms between major depressive disorder and COVID-19 from postmortem brain transcriptome analysis. Journal of Affective Disorders. 346. 273–284. 3 indexed citations
5.
Ma, Xiaomin, Xiaoxiao Ma, Lihui Zhu, et al.. (2022). The E3 ubiquitin ligase MG53 inhibits hepatocellular carcinoma by targeting RAC1 signaling. Oncogenesis. 11(1). 40–40. 18 indexed citations
6.
Lin, Yueke, Xiaoting Lv, Caiyu Sun, et al.. (2022). TRIM50 promotes NLRP3 inflammasome activation by directly inducing NLRP3 oligomerization. EMBO Reports. 23(11). e54569–e54569. 15 indexed citations
7.
Ma, Dapeng, Min Yang, Caiyu Sun, et al.. (2021). Arginine methyltransferase PRMT5 negatively regulates cGAS-mediated antiviral immune response. Science Advances. 7(13). 61 indexed citations
8.
Sun, Caiyu, Weiqiang Jing, Dapeng Ma, et al.. (2021). Inhibiting Src-mediated PARP1 tyrosine phosphorylation confers synthetic lethality to PARP1 inhibition in HCC. Cancer Letters. 526. 180–192. 15 indexed citations
9.
Sun, Caiyu, Mingshan Xue, Min Jae Yang, et al.. (2021). Early Prediction of Severe COVID-19 in Patients by a Novel Immune-Related Predictive Model. mSphere. 6(5). e0075221–e0075221. 5 indexed citations
10.
Bai, Zhaohui, Ran Wang, Gang Cheng, et al.. (2021). Outcomes of early versus delayed endoscopy in cirrhotic patients with acute variceal bleeding: a systematic review with meta-analysis. European Journal of Gastroenterology & Hepatology. 33(1S). e868–e876. 16 indexed citations
11.
Ma, Xiaomin, Yumin Qiu, Lihui Zhu, et al.. (2020). NOD2 inhibits tumorigenesis and increases chemosensitivity of hepatocellular carcinoma by targeting AMPK pathway. Cell Death and Disease. 11(3). 174–174. 55 indexed citations
12.
Qiu, Yumin, Peishu Liu, Xiaomin Ma, et al.. (2019). TRIM50 acts as a novel Src suppressor and inhibits ovarian cancer progression. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(9). 1412–1420. 22 indexed citations
13.
Ma, Xiaomin, Yumin Qiu, Lihui Zhu, et al.. (2019). NOD1 inhibits proliferation and enhances response to chemotherapy via suppressing SRC-MAPK pathway in hepatocellular carcinoma. Journal of Molecular Medicine. 98(2). 221–232. 29 indexed citations
14.
Zhu, Lihui, Chengyong Qin, Tao Li, et al.. (2019). The E3 ubiquitin ligase TRIM7 suppressed hepatocellular carcinoma progression by directly targeting Src protein. Cell Death and Differentiation. 27(6). 1819–1831. 52 indexed citations
15.
Ma, Xiaoxiao, Xiaomin Ma, Yumin Qiu, et al.. (2018). TRIM50 suppressed hepatocarcinoma progression through directly targeting SNAIL for ubiquitous degradation. Cell Death and Disease. 9(6). 608–608. 40 indexed citations
16.
Jiang, Chunmeng, et al.. (2018). Combination of MicroRNAs and Cytokines: a Method for Better Evaluation of Acute-on-Chronic Liver Failure. Clinical Laboratory. 64(03/2018). 247–256. 3 indexed citations
17.
Zheng, Ruijuan, Haipeng Liu, Yilong Zhou, et al.. (2017). Notch4 Negatively Regulates the Inflammatory Response to Mycobacterium tuberculosis Infection by Inhibiting TAK1 Activation. The Journal of Infectious Diseases. 218(2). 312–323. 24 indexed citations
18.
Zang, Aiping, Min Du, Dapeng Ma, et al.. (2015). mTOR regulates TLR-induced c-fos and Th1 responses to HBV and HCV vaccines. Virologica Sinica. 30(3). 174–189. 13 indexed citations
19.
Sun, Liang, Dapeng Ma, Huihui Yu, et al.. (2012). Identification of quantitative trait loci for grain size and the contributions of major grain-size QTLs to grain weight in rice. Molecular Breeding. 31(2). 451–461. 15 indexed citations
20.
Xi, Linghe, Jinna Chen, Jing Zhou, et al.. (2006). Inhibition of telomerase enhances apoptosis induced by sodium butyrate via mitochondrial pathway. APOPTOSIS. 11(5). 789–798. 34 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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