Meng Dong

753 total citations
23 papers, 404 citations indexed

About

Meng Dong is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Meng Dong has authored 23 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Meng Dong's work include Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (5 papers) and Corneal Surgery and Treatments (3 papers). Meng Dong is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (5 papers) and Corneal Surgery and Treatments (3 papers). Meng Dong collaborates with scholars based in China and United States. Meng Dong's co-authors include Xiufen Zhang, Kai Fang, Zijian Guo, Beibei Liu, Lihua Li, Jiahui Kong, Hongtao Duan, Yuexin Wang, Wei Zhang and Song Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Ophthalmology.

In The Last Decade

Meng Dong

21 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Dong China 9 266 164 78 57 51 23 404
Elianna Amin United Kingdom 5 648 2.4× 194 1.2× 89 1.1× 27 0.5× 23 0.5× 6 769
Fukun Chen China 14 332 1.2× 228 1.4× 125 1.6× 42 0.7× 27 0.5× 27 583
Cláudia C. Faria Portugal 13 206 0.8× 81 0.5× 60 0.8× 175 3.1× 17 0.3× 42 429
Xuetao Li China 13 403 1.5× 311 1.9× 59 0.8× 50 0.9× 36 0.7× 20 543
Maryam Hamdollah‐Zadeh United Kingdom 7 434 1.6× 128 0.8× 77 1.0× 12 0.2× 16 0.3× 8 527
Katarina Ejeskär Sweden 16 400 1.5× 188 1.1× 125 1.6× 32 0.6× 17 0.3× 35 593
Daniel Delgado‐Bellido Spain 10 339 1.3× 182 1.1× 175 2.2× 22 0.4× 18 0.4× 18 488
А. С. Танас Russia 11 218 0.8× 88 0.5× 77 1.0× 9 0.2× 26 0.5× 67 313
Joerg Felsberg Germany 12 227 0.9× 166 1.0× 75 1.0× 247 4.3× 31 0.6× 22 441

Countries citing papers authored by Meng Dong

Since Specialization
Citations

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

Fields of papers citing papers by Meng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Dong. A scholar is included among the top collaborators of Meng 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 Meng Dong. Meng 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.
Wang, Qiguang, Hao Wu, Yuting Zhang, et al.. (2025). Genome-wide identification of the UGT gene family revealing PbUGT73EC3 participating in drought stress in Phoebe bournei. Plant Stress. 18. 101012–101012.
2.
Dong, Meng, et al.. (2025). Multiple Retinal Emboli in Nonarteritic Anterior Ischemic Optic Neuropathy. Ophthalmology. 133(3). e35–e35.
3.
Zhang, Xudong, Xiaoyan Feng, Meng Dong, et al.. (2023). Decitabine combined with RDHAP regimen in relapsed/refractory diffuse large B cell lymphoma. Cancer Medicine. 12(7). 8134–8143. 7 indexed citations
4.
Liu, Donglin, Xudong Zhang, Mingzhi Zhang, et al.. (2023). MYC overexpression but not MYC/BCL2 double expression predicts survival in bulky mass diffuse large B‐cell lymphoma patients. Cancer Medicine. 12(18). 18568–18577. 1 indexed citations
5.
Wang, Xingzhou, Ling Xi, Meng Dong, et al.. (2023). Prediction values of tertiary lymphoid structures in the prognosis of patients with left- and right-sided colon cancer: a multicenter propensity score-matched study. International Journal of Surgery. 109(8). 2344–2358. 15 indexed citations
6.
Zhang, Yue, Wenhua Wang, Zeyuan Wang, et al.. (2022). Real-world evidence of ABVD-like regimens compared with ABVD in classical Hodgkin lymphoma: a 10-year study from China. Journal of Cancer Research and Clinical Oncology. 149(7). 3989–4003. 6 indexed citations
7.
Xia, Yiqin, Ying Liu, Qing Shao, et al.. (2021). The use of trastuzumab affected by health insurance policy in Jiangsu Province of China. Translational Cancer Research. 10(1). 509–519. 6 indexed citations
8.
9.
Lv, Qing, et al.. (2020). Screening and Identification of Key Biomarkers in Inflammatory Breast Cancer Through Integrated Bioinformatic Analyses. Genetic Testing and Molecular Biomarkers. 24(8). 484–491. 8 indexed citations
10.
Lv, Qing, et al.. (2020). <p>Identification of Potential Key Genes and Pathways for Inflammatory Breast Cancer Based on GEO and TCGA Databases</p>. OncoTargets and Therapy. Volume 13. 5541–5550. 7 indexed citations
11.
Wang, Xin, Meng Dong, Jingjing Wu, et al.. (2020). DDGP vs. SMILE in Relapsed/Refractory Extranodal Natural Killer/T‐cell Lymphoma, Nasal Type: A Retrospective Study of 54 Patients. Clinical and Translational Science. 14(1). 405–411. 6 indexed citations
12.
Dong, Meng, Xudong Zhang, Zhaoming Li, et al.. (2018). Patients over 40 years old with precursor T-cell lymphoblastic lymphoma have different prognostic factors comparing to the youngers. Scientific Reports. 8(1). 1088–1088. 8 indexed citations
13.
Chen, Ling, Weibo Zhao, Liqi Li, et al.. (2018). Label‐Free Quantitative Proteomic Screening of Candidate Plasma Biomarkers for the Prognosis of Breast Cancer with Different Lymph Node Statuses. PROTEOMICS - CLINICAL APPLICATIONS. 12(3). e1700117–e1700117. 5 indexed citations
14.
15.
Zhang, Xudong, Meng Dong, Ling Li, et al.. (2017). Human immunodeficiency virus-negative plasmablastic lymphoma. Medicine. 96(7). e6171–e6171. 12 indexed citations
16.
Zhang, Wei, Yuexin Wang, Jiahui Kong, et al.. (2017). Therapeutic efficacy of neural stem cells originating from umbilical cord-derived mesenchymal stem cells in diabetic retinopathy. Scientific Reports. 7(1). 408–408. 76 indexed citations
17.
Zhang, Xiufen, Beibei Liu, Meng Dong, et al.. (2017). Screening Circular RNA Related to Chemotherapeutic Resistance in Breast Cancer. Epigenomics. 9(9). 1175–1188. 140 indexed citations
18.
Zhang, Wei, Ji-Ming Wang, Hongtao Duan, et al.. (2015). Differentiation of isolated human umbilical cord mesenchymal stem cells into neural stem cells. International Journal of Ophthalmology. 9(1). 41–7. 33 indexed citations
19.
Wang, Zhiqiang, Ming Cai, Yuan Weng, et al.. (2014). Circulating MACC1 as a novel diagnostic and prognostic biomarker for nonsmall cell lung cancer. Journal of Cancer Research and Clinical Oncology. 141(8). 1353–1361. 27 indexed citations
20.
Dong, Hua, et al.. (2010). The relationship between functional capacity (FC) and cardiac autonomic nervous dysfunction to surgery stress in senile patients. Archives of Gerontology and Geriatrics. 53(1). 95–99. 3 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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