Shumin Deng

1.2k total citations
38 papers, 631 citations indexed

About

Shumin Deng is a scholar working on Molecular Biology, Artificial Intelligence and Immunology. According to data from OpenAlex, Shumin Deng has authored 38 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Artificial Intelligence and 7 papers in Immunology. Recurrent topics in Shumin Deng's work include Topic Modeling (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). Shumin Deng is often cited by papers focused on Topic Modeling (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). Shumin Deng collaborates with scholars based in China, Singapore and United Kingdom. Shumin Deng's co-authors include Yanzhe Wang, Ningyu Zhang, Huajun Chen, Zhiyi He, Zhiyi He, Chuanqi Tan, Luo Si, Xiang Chen, Jialiang Xu and Fang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Death and Differentiation.

In The Last Decade

Shumin Deng

36 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shumin Deng China 14 201 186 80 75 74 38 631
Gensheng Zhang China 17 103 0.5× 228 1.2× 57 0.7× 77 1.0× 16 0.2× 41 781
Joana Crisóstomo Portugal 13 161 0.8× 182 1.0× 94 1.2× 38 0.5× 23 0.3× 26 746
Ernst R. Dow United States 16 123 0.6× 480 2.6× 51 0.6× 45 0.6× 23 0.3× 41 1.0k
Yiqun Hui United States 13 203 1.0× 167 0.9× 28 0.3× 17 0.2× 62 0.8× 17 974
Wenliang Chen China 16 334 1.7× 190 1.0× 42 0.5× 36 0.5× 39 0.5× 64 824
Jiaxin Fan China 15 154 0.8× 289 1.6× 39 0.5× 22 0.3× 79 1.1× 71 697
Ying Shao China 15 41 0.2× 251 1.3× 104 1.3× 62 0.8× 49 0.7× 36 819
Xiangjian Chen China 13 208 1.0× 147 0.8× 26 0.3× 25 0.3× 71 1.0× 33 694

Countries citing papers authored by Shumin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Shumin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shumin Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Shumin Deng. A scholar is included among the top collaborators of Shumin Deng 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 Shumin Deng. Shumin Deng 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.
Wang, Xiaohan, Shumin Deng, Yunzhi Yao, et al.. (2024). Editing Conceptual Knowledge for Large Language Models. 706–724. 4 indexed citations
2.
Wang, Mengru, Yunzhi Yao, Ziwen Xu, et al.. (2024). Knowledge Mechanisms in Large Language Models: A Survey and Perspective. 7097–7135. 1 indexed citations
3.
Zhang, Ningyu, et al.. (2024). When Do Program-of-Thought Works for Reasoning?. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17691–17699. 3 indexed citations
4.
Guo, Xinyu, Tianming Cui, Linmao Sun, et al.. (2024). A STT3A-dependent PD-L1 glycosylation modification mediated by GMPS drives tumor immune evasion in hepatocellular carcinoma. Cell Death and Differentiation. 32(5). 944–958. 12 indexed citations
5.
6.
Wang, Yuye, et al.. (2023). Genetic polymorphisms of pri-let-7f, gene–environment and gene–gene interactions, and associations with ischemic stroke risk in Liaoning Province. Journal of International Medical Research. 51(5). 3639234506–3639234506. 1 indexed citations
7.
Wang, Yuye, et al.. (2023). Ursolic acid promotes microglial polarization toward the M2 phenotype via PPARγ regulation of MMP2 transcription. NeuroToxicology. 96. 81–91. 7 indexed citations
8.
Wang, Yuye, et al.. (2023). Genetic variants in the promoters of let-7 are associated with the risk and age at onset of ischemic stroke: A case control study. Journal of Stroke and Cerebrovascular Diseases. 32(4). 106998–106998. 1 indexed citations
9.
Shu, Guang, Jiaxin Liu, Shumin Deng, et al.. (2022). HDAC5, negatively regulated by miR‐148a‐3p, promotes colon cancer cell migration. Cancer Science. 113(8). 2560–2574. 8 indexed citations
10.
Cao, Xuezhao, et al.. (2022). TREM2 improves neurological dysfunction and attenuates neuroinflammation, TLR signaling and neuronal apoptosis in the acute phase of intracerebral hemorrhage. Frontiers in Aging Neuroscience. 14. 967825–967825. 19 indexed citations
11.
12.
Wang, Yanzhe, Heyu Zhang, Wenjuan Jiang, et al.. (2020). Genetic polymorphisms in pri-let-7a-2 are associated with ischemic stroke risk in a Chinese Han population from Liaoning, China: a case-control study. Neural Regeneration Research. 16(7). 1302–1302. 8 indexed citations
13.
Wang, Yanzhe, Lei Li, Shumin Deng, Fang Liu, & Zhiyi He. (2018). Ursolic Acid Ameliorates Inflammation in Cerebral Ischemia and Reperfusion Injury Possibly via High Mobility Group Box 1/Toll-Like Receptor 4/NFκB Pathway. Frontiers in Neurology. 9. 253–253. 48 indexed citations
14.
Wang, Yanzhe, Zhiyi He, & Shumin Deng. (2016). Ursolic acid reduces the metalloprotease/anti-metalloprotease imbalance in cerebral ischemia and reperfusion injury. Drug Design Development and Therapy. 10. 1663–1663. 36 indexed citations
15.
Wang, Yanzhe, Xiaoyu Yin, Lei Li, Shumin Deng, & Zhiyi He. (2016). Association of Apolipoprotein C3 Genetic Polymorphisms with the Risk of Ischemic Stroke in the Northern Chinese Han Population. PLoS ONE. 11(9). e0163910–e0163910. 16 indexed citations
16.
Liu, Xu, et al.. (2014). Association of PLA2G7 gene polymorphisms with ischemic stroke in northern Chinese Han population. Clinical Biochemistry. 47(6). 404–408. 16 indexed citations
17.
Deng, Shumin, Gang Zhu, Fang Liu, et al.. (2010). CYP4F2 gene V433M polymorphism is associated with ischemic stroke in the male Northern Chinese Han population. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 34(4). 664–668. 44 indexed citations
18.
Qin, Xue, et al.. (2010). Association of Apolipoprotein M Gene Polymorphisms with Ischemic Stroke in a Han Chinese Population. Journal of Molecular Neuroscience. 43(3). 370–375. 22 indexed citations
19.
Xu, Jialiang, Zhiyi He, Nan Li, et al.. (2009). Association of polymorphisms of 5-lipoxygenase activating protein and interleukin-1A genes with ischemic stroke. Chin J Neurol. 42(12). 803–807. 3 indexed citations
20.
Li, Nan, Zhiyi He, Jialiang Xu, et al.. (2009). Association of PDE4D and IL-1 gene polymorphism with ischemic stroke in a Han Chinese population. Brain Research Bulletin. 81(1). 38–42. 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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