Meng Tang

3.5k total citations · 1 hit paper
119 papers, 1.8k citations indexed

About

Meng Tang is a scholar working on Physiology, Oncology and Geriatrics and Gerontology. According to data from OpenAlex, Meng Tang has authored 119 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Physiology, 35 papers in Oncology and 18 papers in Geriatrics and Gerontology. Recurrent topics in Meng Tang's work include Nutrition and Health in Aging (43 papers), Inflammatory Biomarkers in Disease Prognosis (24 papers) and Frailty in Older Adults (18 papers). Meng Tang is often cited by papers focused on Nutrition and Health in Aging (43 papers), Inflammatory Biomarkers in Disease Prognosis (24 papers) and Frailty in Older Adults (18 papers). Meng Tang collaborates with scholars based in China, United States and Italy. Meng Tang's co-authors include Hanping Shi, Xi Zhang, Yi‐Zhong Ge, Mengmeng Song, Guo‐Tian Ruan, Ming Yang, Qi Zhang, Hongxia Xu, Kang‐Ping Zhang and Chunhua Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Frontiers in Immunology.

In The Last Decade

Meng Tang

116 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global Burden of Cardiovascular Diseases and its Risk Factors, 1990–2021: A Systematic Analysis for the Global Burden of Disease Study 2021

2025 18 citations Meng Tang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meng Tang China	24	651	421	363	282	236	119	1.8k
Vipul C. Chitalia United States	30	142 0.2×	330 0.8×	905 2.5×	13 0.0×	260 1.1×	94	2.5k
Shiqi Lin China	18	234 0.4×	351 0.8×	397 1.1×	58 0.2×	76 0.3×	98	1.4k
Jonathan Baker United Kingdom	18	304 0.5×	74 0.2×	460 1.3×	101 0.4×	137 0.6×	61	1.4k
Tetsuo Ikeda Japan	28	700 1.1×	533 1.3×	218 0.6×	245 0.9×	1.6k 6.7×	204	3.1k
Takashi Tsuchiya Japan	25	125 0.2×	659 1.6×	553 1.5×	19 0.1×	678 2.9×	151	2.1k
Lei Xu China	32	149 0.2×	330 0.8×	415 1.1×	12 0.0×	879 3.7×	299	3.8k
Ke Yang China	23	202 0.3×	85 0.2×	631 1.7×	65 0.2×	187 0.8×	57	1.8k
Ting He China	23	227 0.3×	91 0.2×	675 1.9×	50 0.2×	212 0.9×	65	1.8k
J.M. Daly United States	34	854 1.3×	933 2.2×	244 0.7×	98 0.3×	1.1k 4.9×	170	3.6k
Marcus Franz Germany	28	188 0.3×	306 0.7×	561 1.5×	51 0.2×	606 2.6×	182	2.8k

Countries citing papers authored by Meng Tang

Since Specialization

Citations

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

Fields of papers citing papers by Meng Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Tang

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

All Works

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20 of 20 papers shown

Wang, Haibin, et al.. (2025). Multi-omics analysis identifies UBA family as potential pan-cancer biomarkers for tumor prognosis and immune microenvironment infiltration. Frontiers in Immunology. 16. 1510503–1510503. 1 indexed citations

Huang, Jiaxin, Xi Zhang, Meng Tang, et al.. (2024). Comprehensive evaluation of serum hepatic proteins in predicting prognosis among cancer patients with cachexia: an observational cohort study. BMC Cancer. 24(1). 293–293. 4 indexed citations

Zou, Jing, Qiuzheng Du, Liwei Liu, et al.. (2024). XueBiJing injection improves the symptoms of sepsis-induced acute lung injury by mitigating oxidative stress and ferroptosis. Journal of Ethnopharmacology. 337(Pt 1). 118732–118732. 14 indexed citations

Zhang, Xi, Meng Tang, Qi Zhang, et al.. (2023). A promising prognostic grading system incorporating weight loss and inflammation in patients with advanced cancer. Journal of Cachexia Sarcopenia and Muscle. 14(6). 2969–2980. 7 indexed citations

Tang, Meng, Fei Mu, Chen Cui, et al.. (2023). Research frontiers and trends in the application of artificial intelligence to sepsis: A bibliometric analysis. Frontiers in Medicine. 9. 1043589–1043589. 6 indexed citations

Ruan, Guo‐Tian, Mengmeng Song, Kang‐Ping Zhang, et al.. (2023). A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study. Nutrition & Metabolism. 20(1). 2–2. 2 indexed citations

Tang, Meng, Yan Su, Zubiao Niu, et al.. (2022). AIM-CICs: an automatic identification method for cell-in-cell structures based on convolutional neural network. Journal of Molecular Cell Biology. 14(6). 2 indexed citations

Xie, Hailun, Guo‐Tian Ruan, Qi Zhang, et al.. (2022). Combination of Nutritional Risk Index and Handgrip Strength on the Survival of Patients with Cancer Cachexia: A Multi- Center Cohort Study. SHILAP Revista de lepidopterología. 10 indexed citations

Zhang, Xi, Qi Zhang, Meng Tang, et al.. (2022). Nutrition‐inflammation marker enhances prognostic value to ECOG performance status in overweight or obese patients with cancer. Journal of Parenteral and Enteral Nutrition. 47(1). 109–119. 3 indexed citations

10.

Lin, Shiqi, Hailun Xie, Yi‐Zhong Ge, et al.. (2022). Association between systemic inflammation and water composition and survival in colorectal cancer. Frontiers in Oncology. 12. 896160–896160. 6 indexed citations

11.

Xie, Hailun, Guo‐Tian Ruan, Li Deng, et al.. (2022). Comparison of absolute and relative handgrip strength to predict cancer prognosis: A prospective multicenter cohort study. Clinical Nutrition. 41(8). 1636–1643. 15 indexed citations

12.

Zhang, Xi, Jinghua Li, Qi Zhang, et al.. (2021). Relationship Between Prognostic Nutritional Index and Mortality in Overweight or Obese Patients with Cancer: A Multicenter Observational Study. Journal of Inflammation Research. Volume 14. 3921–3932. 11 indexed citations

13.

Zhang, Qi, Qian Liang, Tong Liu, et al.. (2021). Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems. Frontiers in Nutrition. 8. 738550–738550. 26 indexed citations

14.

Zhang, Xi, Xiangrui Li, Hongyun Shi, et al.. (2021). Association of the fat-free mass index with mortality in patients with cancer: A multicenter observational study. Nutrition. 94. 111508–111508. 7 indexed citations

15.

Liu, Xiaoyue, Xi Zhang, Guo‐Tian Ruan, et al.. (2021). One-Year Mortality in Patients with Cancer Cachexia: Association with Albumin and Total Protein. Cancer Management and Research. Volume 13. 6775–6783. 22 indexed citations

16.

Qiu, Yang, Chao Wu, Jingyao Li, et al.. (2020). Effect of TTLL6 expression on CDDP sensitivity of EC109/CDDP cells in hypoxia/acidosis microenvironment. Journal of Cancer. 11(23). 6790–6801. 4 indexed citations

17.

Zhang, Xing‐Ding, Meng Tang, Qian Zhang, et al.. (2020). The glim criteria as an effective tool for nutrition assessment and survival prediction in elderly cancer patients. Clinical Nutrition ESPEN. 40. 423–423. 3 indexed citations

18.

Tan, Wenfeng, Yi Liao, Yang Qiu, et al.. (2018). miRNA 146a promotes chemotherapy resistance in lung cancer cells by targeting DNA damage inducible transcript 3 (CHOP). Cancer Letters. 428. 55–68. 49 indexed citations

19.

Liu, Hongxiang, Yi Liao, Meng Tang, et al.. (2018). Trps1 is associated with the multidrug resistance of lung cancer cell by regulating MGMT gene expression. Cancer Medicine. 7(5). 1921–1932. 22 indexed citations

20.

He, Ping, Wei Wu, Kang Yang, et al.. (2015). Rho Guanine Nucleotide Exchange Factor 5 Increases Lung Cancer Cell Tumorigenesis via MMP-2 and Cyclin D1 Upregulation. Molecular Cancer Therapeutics. 14(7). 1671–1679. 11 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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