Dandan Dong

2.5k total citations · 1 hit paper
66 papers, 1.9k citations indexed

About

Dandan Dong is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Dandan Dong has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Oncology and 12 papers in Immunology. Recurrent topics in Dandan Dong's work include Spaceflight effects on biology (8 papers), Reproductive System and Pregnancy (8 papers) and Trace Elements in Health (5 papers). Dandan Dong is often cited by papers focused on Spaceflight effects on biology (8 papers), Reproductive System and Pregnancy (8 papers) and Trace Elements in Health (5 papers). Dandan Dong collaborates with scholars based in China, Australia and United States. Dandan Dong's co-authors include Peng Shang, Shang-mian Yie, Hong Yang, Xinmei Lin, Yanru Xue, Jiancheng Yang, Xin Li, Ying Shen, Bin Zhang and Shenghang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Dandan Dong

63 papers receiving 1.9k citations

Hit Papers

Transferrin receptor 1 in cancer: a new sight for cancer ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dandan Dong China 25 674 600 340 310 273 66 1.9k
Neveen Said United States 24 343 0.5× 803 1.3× 491 1.4× 397 1.3× 132 0.5× 36 1.8k
Venkatesh Krishnan United States 20 961 1.4× 1.1k 1.8× 758 2.2× 285 0.9× 242 0.9× 35 2.3k
Jermaine Coward Australia 23 404 0.6× 704 1.2× 1.2k 3.6× 354 1.1× 380 1.4× 87 2.3k
Sanaz Memarzadeh United States 23 345 0.5× 1.1k 1.8× 918 2.7× 424 1.4× 439 1.6× 60 2.3k
Ivo Meinhold‐Heerlein Germany 27 384 0.6× 800 1.3× 528 1.6× 407 1.3× 247 0.9× 133 2.5k
Xin He China 27 500 0.7× 1.3k 2.2× 456 1.3× 576 1.9× 99 0.4× 132 2.4k
Linda E. Kelemen United States 27 174 0.3× 632 1.1× 638 1.9× 353 1.1× 240 0.9× 55 2.2k
Elísabeth Pérez-Ruiz Spain 20 600 0.9× 574 1.0× 1.0k 3.1× 302 1.0× 339 1.2× 80 1.9k
Marco Scarsella Italy 28 433 0.6× 1.3k 2.2× 868 2.6× 314 1.0× 134 0.5× 63 2.4k
Te Liu China 27 292 0.4× 1.4k 2.4× 356 1.0× 902 2.9× 214 0.8× 107 2.2k

Countries citing papers authored by Dandan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dandan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Dong. A scholar is included among the top collaborators of Dandan Dong 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 Dandan Dong. Dandan Dong 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.
Chen, Quanliang, et al.. (2025). Influence of the Scandinavian Pattern on Summer Extreme Precipitation over the Eastern Slopes of the Tibetan Plateau. Advances in Atmospheric Sciences. 42(3). 438–452. 1 indexed citations
3.
Cao, Xiao, et al.. (2024). Inhibitory Effect of Astragalus membranaceus Extract on Myocardial Damage in Diabetes Complicated by Cardiomyopathy. International Journal of Pharmacology. 20(6). 1040–1050.
4.
Chen, Xiaoqiong, Mingsheng Huang, Xiangrong Yu, et al.. (2024). Hepatic-associated vascular morphological assessment to predict overt hepatic encephalopathy before TIPS: a multicenter study. Hepatology International. 18(4). 1238–1248. 3 indexed citations
5.
Wang, Guangli, et al.. (2022). Transcriptome Analysis of Inhibitory Effect of Astaxanthin Against HepG2 Cell Lines. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Dong, Shuangshuang, Dandan Dong, Zhangfu Yang, et al.. (2021). Exosomal miR-3682-3p Suppresses Angiogenesis by Targeting ANGPT1 via the RAS-MEK1/2-ERK1/2 Pathway in Hepatocellular Carcinoma. Frontiers in Cell and Developmental Biology. 9. 633358–633358. 26 indexed citations
8.
Dong, Dandan. (2021). A Probe Into the Psychological Mechanism of Generation Z College Students Using Network Buzzwords in the Internet Era. Frontiers in Psychology. 12. 663728–663728. 4 indexed citations
9.
Yang, Jiancheng, et al.. (2020). Iron Overload-Induced Osteocyte Apoptosis Stimulates Osteoclast Differentiation Through Increasing Osteocytic RANKL Production In Vitro. Calcified Tissue International. 107(5). 499–509. 41 indexed citations
10.
Gu, Juan, et al.. (2019). Upregulated OCT3 has the potential to improve the survival of colorectal cancer patients treated with (m)FOLFOX6 adjuvant chemotherapy. International Journal of Colorectal Disease. 34(12). 2151–2159. 6 indexed citations
11.
Gao, Ce, Di Zhao, Qing Zhao, et al.. (2019). Microarray profiling and co-expression network analysis of lncRNAs and mRNAs in ovarian cancer. Cell Death Discovery. 5(1). 93–93. 18 indexed citations
12.
13.
Xiao, Xue, Dandan Dong, Wenjing He, et al.. (2018). Mismatch repair deficiency is associated with MSI phenotype, increased tumor-infiltrating lymphocytes and PD-L1 expression in immune cells in ovarian cancer. Gynecologic Oncology. 149(1). 146–154. 45 indexed citations
14.
Yang, Jiancheng, Jian Zhang, Chong Ding, Dandan Dong, & Peng Shang. (2017). Regulation of Osteoblast Differentiation and Iron Content in MC3T3-E1 Cells by Static Magnetic Field with Different Intensities. Biological Trace Element Research. 184(1). 214–225. 75 indexed citations
15.
Dong, Dandan, Hui Zhou, & Li Gao. (2016). GPR78 promotes lung cancer cell migration and metastasis by activation of Gαq-Rho GTPase pathway. BMB Reports. 49(11). 623–628. 20 indexed citations
16.
Huyan, Ting, Qi Li, Dandan Dong, et al.. (2015). Heat shock protein 90 inhibitors induce functional inhibition of human natural killer cells in a dose-dependent manner. Immunopharmacology and Immunotoxicology. 38(2). 77–86. 13 indexed citations
17.
Zhu, Hong‐Jian, Ke Li, Dandan Dong, et al.. (2014). Spindle cell metaplastic carcinoma of breast: A clinicopathological and immunohistochemical analysis. Asia-Pacific Journal of Clinical Oncology. 13(2). e72–e78. 10 indexed citations
18.
Gao, Caiping, Minghui Pang, Zhou Zhou, et al.. (2014). Epidermal growth factor receptor-coamplified and overexpressed protein (VOPP1) is a putative oncogene in gastric cancer. Clinical and Experimental Medicine. 15(4). 469–475. 17 indexed citations
19.
Hu, Jianbin, et al.. (2009). Protamine Sulfate Downregulates Vascular Endothelial Growth Factor (VEGF) Expression and Inhibits VEGF and Its Receptor Binding in Vitro. Advances in experimental medicine and biology. 664. 341–347. 2 indexed citations
20.
Yang, Hong, et al.. (2007). Human leukocyte antigen G expression: as a significant prognostic indicator for patients with colorectal cancer. Modern Pathology. 20(3). 375–383. 137 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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