Long Cheng

882 total citations · 1 hit paper
23 papers, 638 citations indexed

About

Long Cheng is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Long Cheng has authored 23 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Long Cheng's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (4 papers) and Gut microbiota and health (3 papers). Long Cheng is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (4 papers) and Gut microbiota and health (3 papers). Long Cheng collaborates with scholars based in China, Australia and Türkiye. Long Cheng's co-authors include Yongcheng An, Hongyu Dai, Yuhui Duan, Baosheng Zhao, Jingkang Wang, Yaqi Li, Quantao Ma, Lu Shi, Yinglan Lv and Huimin Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and European Heart Journal.

In The Last Decade

Long Cheng

18 papers receiving 632 citations

Hit Papers

Brown and beige adipose tissue: a novel therapeutic strat... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Cheng China 12 308 267 164 72 57 23 638
Yuhui Duan China 11 303 1.0× 272 1.0× 156 1.0× 61 0.8× 57 1.0× 18 600
Deborah de Farias Lelis Brazil 15 258 0.8× 207 0.8× 181 1.1× 81 1.1× 57 1.0× 36 724
Solange Silveira Pereira Brazil 11 281 0.9× 170 0.6× 197 1.2× 64 0.9× 68 1.2× 18 670
Itaru Monno Japan 13 271 0.9× 293 1.1× 163 1.0× 28 0.4× 50 0.9× 19 895
Bàrbara Reynés Spain 15 320 1.0× 176 0.7× 158 1.0× 50 0.7× 69 1.2× 27 534
Inhae Kang South Korea 13 216 0.7× 313 1.2× 151 0.9× 31 0.4× 105 1.8× 26 766
Ran Zhao China 13 239 0.8× 431 1.6× 115 0.7× 85 1.2× 41 0.7× 31 863
Yolanda F. Otero France 16 270 0.9× 220 0.8× 136 0.8× 88 1.2× 86 1.5× 34 687
María E. Frigolet Mexico 10 188 0.6× 134 0.5× 100 0.6× 83 1.2× 88 1.5× 17 507
Elīna Makarova Latvia 15 212 0.7× 349 1.3× 57 0.3× 85 1.2× 63 1.1× 23 765

Countries citing papers authored by Long Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Long Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Long Cheng. A scholar is included among the top collaborators of Long Cheng 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 Long Cheng. Long Cheng 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.
Ma, Yi, Mabrouk Elsabagh, Yong Q. Chen, et al.. (2025). Anti-Inflammatory potential of lactic acid bacteria for dairy cows during the periparturient period. Animal Feed Science and Technology. 321. 116234–116234.
2.
Li, Qihang, Yi‐Da Tang, Xuefeng Yu, et al.. (2025). Thyroid Function Reference Intervals by Age, Sex, and Race. Annals of Internal Medicine. 178(7). 921–929.
3.
Ma, Yi, Peng Yang, Pengfei Li, et al.. (2024). Dietary thiamine supplementation modulates ruminal microbiota and partly restores lactation performance in lactating Hu ewes under heat-stress conditions. Animal Feed Science and Technology. 318. 116119–116119.
4.
Gu, Yuanjie, Long Cheng, Shijing Sun, et al.. (2024). High-mass loaded redox-active lignin functionalized carbonized wood collector to construct sustainable and high-performance supercapacitors. International Journal of Biological Macromolecules. 281(Pt 2). 136242–136242. 1 indexed citations
6.
Sun, Lina, et al.. (2023). A novel oleogel based on porous microgel from egg white. Food Hydrocolloids. 144. 109049–109049. 12 indexed citations
7.
An, Yongcheng, Hongyu Dai, Yuhui Duan, et al.. (2023). The relationship between gut microbiota and susceptibility to type 2 diabetes mellitus in rats. Chinese Medicine. 18(1). 49–49. 8 indexed citations
8.
Shi, Lu, Jingkang Wang, Changhao He, et al.. (2023). Identifying potential therapeutic targets of mulberry leaf extract for the treatment of type 2 diabetes: a TMT-based quantitative proteomic analysis. BMC Complementary Medicine and Therapies. 23(1). 308–308. 7 indexed citations
9.
Cheng, Long, Lu Shi, Changhao He, et al.. (2022). Rutin‐activated adipose tissue thermogenesis is correlated with increased intestinal short‐chain fatty acid levels. Phytotherapy Research. 36(6). 2495–2510. 28 indexed citations
10.
Duan, Yuhui, Hongyu Dai, Yongcheng An, et al.. (2022). Mulberry Leaf Flavonoids Inhibit Liver Inflammation in Type 2 Diabetes Rats by Regulating TLR4/MyD88/NF-κB Signaling Pathway. Evidence-based Complementary and Alternative Medicine. 2022. 1–10. 16 indexed citations
11.
Cheng, Long, Jingkang Wang, Yongcheng An, et al.. (2021). Mulberry leaf activates brown adipose tissue and induces browning of inguinal white adipose tissue in type 2 diabetic rats through regulating AMP-activated protein kinase signalling pathway. British Journal Of Nutrition. 127(6). 810–822. 25 indexed citations
12.
Cheng, Long, Shuofeng Zhang, Fei Shang, et al.. (2021). Emodin Improves Glucose and Lipid Metabolism Disorders in Obese Mice via Activating Brown Adipose Tissue and Inducing Browning of White Adipose Tissue. Frontiers in Endocrinology. 12. 618037–618037. 38 indexed citations
13.
Ma, Quantao, Chunguo Wang, Min Wang, et al.. (2021). Investigation of brain damage mechanism in middle cerebral artery occlusion/reperfusion rats based on i-TRAQ quantitative proteomics. Experimental Brain Research. 239(4). 1247–1260. 11 indexed citations
14.
Cheng, Long, Jingkang Wang, Hongyu Dai, et al.. (2021). Brown and beige adipose tissue: a novel therapeutic strategy for obesity and type 2 diabetes mellitus. Adipocyte. 10(1). 48–65. 257 indexed citations breakdown →
15.
Li, Pengfei, Jingkang Wang, Chunguo Wang, et al.. (2020). Therapeutic effects and mechanisms study of Hanchuan Zupa Granule in a Guinea pig model of cough variant asthma. Journal of Ethnopharmacology. 269. 113719–113719. 21 indexed citations
16.
Ma, Quantao, Yaqi Li, Jingkang Wang, et al.. (2020). Investigation of gut microbiome changes in type 1 diabetic mellitus rats based on high-throughput sequencing. Biomedicine & Pharmacotherapy. 124. 109873–109873. 135 indexed citations
17.
Zhang, Shuofeng, Zhirong Chen, Rong Zhang, et al.. (2018). Berberine Could Ameliorate Cardiac Dysfunction via Interfering Myocardial Lipidomic Profiles in the Rat Model of Diabetic Cardiomyopathy. Frontiers in Physiology. 9. 1042–1042. 32 indexed citations
18.
Cheng, Long, et al.. (2004). Benign mucocele‐like lesion of the breast: how to differentiate from mucinous carcinoma before surgery. Cytopathology. 15(2). 104–108. 17 indexed citations
20.
Liao, Yueling, et al.. (1996). Autoantibodies against ADP/ATP carrier from patients with dilated cardiomyopathy increase activity of voltage-dependent Ca channels in isolated cardiac myocytes.. PubMed. 3. 41–4. 8 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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