Guohui Dang

637 total citations
11 papers, 384 citations indexed

About

Guohui Dang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Guohui Dang has authored 11 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Oncology. Recurrent topics in Guohui Dang's work include Extracellular vesicles in disease (3 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Guohui Dang is often cited by papers focused on Extracellular vesicles in disease (3 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Guohui Dang collaborates with scholars based in China, United Kingdom and India. Guohui Dang's co-authors include NirmalaN Rege, Juan Feng, Juan Yang, Xiaolong Ma, Yuwei Song, Yuqi Yang, Qi Lei, Peiwen Ma, Ning Li and Qiyu Tang and has published in prestigious journals such as Cancer Research, The FASEB Journal and Cell Reports.

In The Last Decade

Guohui Dang

10 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohui Dang China 8 130 79 65 61 59 11 384
Yanguo Su China 12 138 1.1× 84 1.1× 82 1.3× 48 0.8× 36 0.6× 18 363
Shihui Bao China 10 142 1.1× 55 0.7× 49 0.8× 42 0.7× 43 0.7× 17 379
Kai Dong China 15 176 1.4× 50 0.6× 77 1.2× 36 0.6× 75 1.3× 32 527
Xin Cai China 13 178 1.4× 41 0.5× 46 0.7× 68 1.1× 44 0.7× 39 545
Vladimíra Svobodová Pavlíčková Czechia 12 201 1.5× 85 1.1× 57 0.9× 34 0.6× 46 0.8× 23 420
Zhenglai Hua China 10 186 1.4× 66 0.8× 63 1.0× 62 1.0× 86 1.5× 12 397
Dandan Jiang China 13 240 1.8× 98 1.2× 56 0.9× 102 1.7× 63 1.1× 29 449
Quan Gao China 6 125 1.0× 67 0.8× 60 0.9× 28 0.5× 48 0.8× 10 310
Yunqiao Li China 12 176 1.4× 57 0.7× 32 0.5× 47 0.8× 89 1.5× 23 544

Countries citing papers authored by Guohui Dang

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohui Dang

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

All Works

11 of 11 papers shown
1.
Chu, Xiaojing, Xiangjie Li, Yu Zhang, et al.. (2025). Pan-Cancer Analyses Refine the Single-Cell Portrait of Tumor-Infiltrating Dendritic Cells. Cancer Research. 85(19). 3596–3613. 4 indexed citations
2.
Li, Xiangjie, Xiaojing Chu, Wenbin Xu, et al.. (2025). Integrated spatial transcriptomic profiling to dissect the cellular characteristics of tumor-associated tertiary lymphoid structures. Cell Reports. 44(9). 116250–116250. 1 indexed citations
4.
Chu, Xiaojing, Xiangjie Li, Yu Zhang, et al.. (2024). Integrative single-cell analysis of human colorectal cancer reveals patient stratification with distinct immune evasion mechanisms. Nature Cancer. 5(9). 1409–1426. 27 indexed citations
5.
Ma, Xiaolong, Chun Li, Yang Zhao, et al.. (2023). B cell-derived anti-beta 2 glycoprotein I antibody mediates hyperhomocysteinemia-aggravated hypertensive glomerular lesions by triggering ferroptosis. Signal Transduction and Targeted Therapy. 8(1). 103–103. 28 indexed citations
6.
Wang, Shuhang, Keman Cheng, Kun Chen, et al.. (2022). Nanoparticle-based medicines in clinical cancer therapy. Nano Today. 45. 101512–101512. 122 indexed citations
7.
Dang, Guohui, Tianrun Li, Guangxin Yang, et al.. (2022). T lymphocyte-derived extracellular vesicles aggravate abdominal aortic aneurysm by promoting macrophage lipid peroxidation and migration via pyruvate kinase muscle isozyme 2. Redox Biology. 50. 102257–102257. 42 indexed citations
8.
Lin, Bingbing, Juan Yang, Yuwei Song, Guohui Dang, & Juan Feng. (2021). Exosomes and Atherogenesis. Frontiers in Cardiovascular Medicine. 8. 738031–738031. 17 indexed citations
9.
Dang, Guohui, Jiacheng Deng, Huiying Liu, et al.. (2019). Shikonin attenuates hyperhomocysteinemia-induced CD4+ T cell inflammatory activation and atherosclerosis in ApoE−/− mice by metabolic suppression. Acta Pharmacologica Sinica. 41(1). 47–55. 35 indexed citations
10.
Yang, Juan, Guohui Dang, Huiying Liu, et al.. (2019). T‐cell–derived extracellular vesicles regulate B‐cell IgG production via pyruvate kinase muscle isozyme 2. The FASEB Journal. 33(11). 12780–12799. 20 indexed citations
11.
Dang, Guohui, et al.. (2010). Antiinflammatory activity of Phyllanthus emblica, Plumbago zeylanica and Cyperus rotundus in acute models of inflammation. Phytotherapy Research. 25(6). 904–908. 88 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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