Ge Meng

3.4k total citations
132 papers, 1.6k citations indexed

About

Ge Meng is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ge Meng has authored 132 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Public Health, Environmental and Occupational Health, 37 papers in Physiology and 33 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ge Meng's work include Nutritional Studies and Diet (33 papers), Nutrition and Health in Aging (25 papers) and Liver Disease Diagnosis and Treatment (23 papers). Ge Meng is often cited by papers focused on Nutritional Studies and Diet (33 papers), Nutrition and Health in Aging (25 papers) and Liver Disease Diagnosis and Treatment (23 papers). Ge Meng collaborates with scholars based in China, United States and Japan. Ge Meng's co-authors include Kaijun Niu, Yeqing Gu, Li Liu, Shaomei Sun, Kun Song, Ming Zhou, Hongmei Wu, Shunming Zhang, Xue Bao and Qiyu Jia and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ge Meng

121 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Meng China 22 469 431 370 328 233 132 1.6k
Andrzej Milewicz Poland 24 409 0.9× 345 0.8× 599 1.6× 286 0.9× 297 1.3× 121 2.0k
Lina Jin China 24 421 0.9× 492 1.1× 199 0.5× 198 0.6× 618 2.7× 116 2.1k
Jian‐Min Yuan United States 27 717 1.5× 346 0.8× 303 0.8× 704 2.1× 353 1.5× 78 2.1k
Tianshu Han China 20 392 0.8× 193 0.4× 197 0.5× 380 1.2× 424 1.8× 79 1.4k
Mohsen Moohebati Iran 27 552 1.2× 502 1.2× 453 1.2× 332 1.0× 432 1.9× 117 2.6k
Hirokazu Uemura Japan 28 307 0.7× 318 0.7× 455 1.2× 313 1.0× 308 1.3× 126 2.3k
Haiqing Zhang China 28 243 0.5× 386 0.9× 569 1.5× 160 0.5× 419 1.8× 125 2.1k
Shunming Zhang China 20 451 1.0× 355 0.8× 258 0.7× 516 1.6× 94 0.4× 103 1.3k
Shaomei Sun China 22 447 1.0× 620 1.4× 481 1.3× 371 1.1× 177 0.8× 113 1.7k
Yeqing Gu China 21 440 0.9× 471 1.1× 394 1.1× 338 1.0× 190 0.8× 125 1.5k

Countries citing papers authored by Ge Meng

Since Specialization
Citations

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

Fields of papers citing papers by Ge Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Meng. A scholar is included among the top collaborators of Ge Meng 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 Ge Meng. Ge Meng 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.
Qiao, Feng, Jing Zhang, Qing Zhang, et al.. (2024). Association Between Number of Missing Teeth and Hyperlipidemia: The TCLSIH Cohort Study. Journal of Inflammation Research. Volume 17. 1095–1104. 1 indexed citations
2.
Zhu, Lin, Yeqing Gu, Jianguo Li, et al.. (2024). Association of added sugar intake and its forms and sources with handgrip strength decline among middle-aged and older adults: A prospective cohort study. Clinical Nutrition. 43(7). 1609–1617. 2 indexed citations
3.
Wu, Hongmei, Xuena Wang, Yeqing Gu, et al.. (2023). Soy Food Consumption Is Inversely Associated with Handgrip Strength: Results from the TCLSIH Cohort Study. Nutrients. 15(2). 391–391. 5 indexed citations
4.
Gu, Yeqing, Tingjing Zhang, Jinhan Wang, et al.. (2023). Genetic risk, muscle strength and risk of incident major depressive disorder: results from the UK Biobank. Age and Ageing. 52(3). 2 indexed citations
5.
Meng, Ge, Jiao-Yang Li, Yeqing Gu, et al.. (2023). Association between whole-grain consumption and carotid atherosclerosis: the Tianjin chronic low-grade systemic inflammation and health (TCLSIH) cohort study. Food & Function. 14(24). 10955–10963. 2 indexed citations
6.
Gu, Yeqing, Ge Meng, Hongmei Wu, et al.. (2023). Quality of plant-based diet and the risk of dementia and depression among middle-aged and older population. Age and Ageing. 52(5). 28 indexed citations
7.
Gu, Yeqing, Zimin Song, Qingkui Li, et al.. (2023). Association of Thyroid-Stimulating Hormone With All-Cause Mortality: A 2-Sample Mendelian Randomization Study. The Journal of Clinical Endocrinology & Metabolism. 108(7). e396–e403.
8.
Wang, Yawen, Yeqing Gu, Jian Huang, et al.. (2022). Serum vitamin D status and circulating irisin levels in older adults with sarcopenia. Frontiers in Nutrition. 9. 1051870–1051870. 13 indexed citations
9.
Zhang, Shunming, Ge Meng, Qing Zhang, et al.. (2022). Inflammatory potential of diet and risk of nonalcoholic fatty liver disease: a prospective cohort study. European Journal of Clinical Nutrition. 76(8). 1125–1132. 7 indexed citations
10.
Xia, Yang, Limin Cao, Qing Zhang, et al.. (2021). Adherence to a vegetable dietary pattern attenuates the risk of non‐alcoholic fatty liver disease in incident type 2 diabetes: The TCLSIH cohort study. Journal of Internal Medicine. 291(4). 469–480. 8 indexed citations
11.
Li, Huiping, Xuena Wang, Shunming Zhang, et al.. (2021). Does a high intake of green leafy vegetables protect from NAFLD? Evidence from a large population study. Nutrition Metabolism and Cardiovascular Diseases. 31(6). 1691–1701. 18 indexed citations
12.
Cheng, Jie, Xuena Wang, Qing Zhang, et al.. (2021). Association of Appendicular Skeletal Muscle to Trunk Fat Ratio with Type 2 Diabetes Mellitus in Older Adults. Gerontology. 68(2). 192–199. 1 indexed citations
13.
Wang, Xuena, Yeqing Gu, Xiaohui Wu, et al.. (2021). Dietary patterns and sarcopenia in elderly adults: the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) study. British Journal Of Nutrition. 128(5). 900–908. 3 indexed citations
14.
Xia, Yang, Yashu Liu, Shunming Zhang, et al.. (2020). Associations between different types and sources of dietary fibre intake and depressive symptoms in a general population of adults: a cross-sectional study. British Journal Of Nutrition. 125(11). 1281–1290. 9 indexed citations
15.
16.
17.
Zhang, Shunming, Mingyue Liu, Yanyan Wang, et al.. (2019). Raw garlic consumption is inversely associated with prehypertension in a large-scale adult population. Journal of Human Hypertension. 34(1). 59–67. 3 indexed citations
18.
Yao, Zhanxin, Yeqing Gu, Qing Zhang, et al.. (2018). Estimated daily quercetin intake and association with the prevalence of type 2 diabetes mellitus in Chinese adults. European Journal of Nutrition. 58(2). 819–830. 90 indexed citations
19.
Chen, Shu, et al.. (2016). HLF/miR-132/TTK axis regulates cell proliferation, metastasis and radiosensitivity of glioma cells. Biomedicine & Pharmacotherapy. 83. 898–904. 44 indexed citations
20.
Su, Qian, Yingbin Hu, Hongmei Wu, et al.. (2014). Long-term Tai Chi training is related to depressive symptoms among Tai Chi practitioners. Journal of Affective Disorders. 169. 36–39. 9 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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