Limin Shi

3.2k total citations · 2 hit papers
43 papers, 2.6k citations indexed

About

Limin Shi is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Limin Shi has authored 43 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Physiology and 10 papers in Epidemiology. Recurrent topics in Limin Shi's work include Adipose Tissue and Metabolism (8 papers), Bat Biology and Ecology Studies (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Limin Shi is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Bat Biology and Ecology Studies (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Limin Shi collaborates with scholars based in China, United States and United Kingdom. Limin Shi's co-authors include Paul H. Patterson, S. Hossein Fatemi, Robert W. Sidwell, Qinlu Lin, Junxia Xie, Feijun Luo, Nora Tu, Ying Nie, Tao Yang and Hong Jiang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Neuroscience.

In The Last Decade

Limin Shi

40 papers receiving 2.5k citations

Hit Papers

Maternal Influenza Infection Causes Marked Behavioral and... 2003 2026 2010 2018 2003 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Limin Shi China 23 689 462 397 366 361 43 2.6k
Regina P. Markus Brazil 42 1.1k 1.6× 426 0.9× 509 1.3× 233 0.6× 301 0.8× 162 4.9k
Antonio Carrillo‐Vico Spain 32 895 1.3× 408 0.9× 401 1.0× 126 0.3× 138 0.4× 75 4.2k
Milo Careaga United States 24 538 0.8× 461 1.0× 369 0.9× 569 1.6× 358 1.0× 30 2.4k
David Engblom Sweden 32 1.1k 1.6× 329 0.7× 476 1.2× 256 0.7× 277 0.8× 74 3.7k
Claudio A. Mastronardi United States 34 1.3k 2.0× 452 1.0× 220 0.6× 541 1.5× 276 0.8× 83 4.3k
Georges J. M. Maestroni Switzerland 41 808 1.2× 410 0.9× 496 1.2× 220 0.6× 242 0.7× 89 5.3k
Yael Kuperman Israel 29 1.9k 2.8× 325 0.7× 243 0.6× 312 0.9× 347 1.0× 40 4.8k
Diego J. Walther Germany 21 1.5k 2.2× 482 1.0× 231 0.6× 435 1.2× 264 0.7× 30 4.9k
Carolina Demarchi Munhoz Brazil 29 589 0.9× 555 1.2× 273 0.7× 151 0.4× 200 0.6× 68 2.7k
Patricia Judith Lardone Spain 27 554 0.8× 346 0.7× 293 0.7× 99 0.3× 113 0.3× 46 3.2k

Countries citing papers authored by Limin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Limin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Limin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Limin Shi. A scholar is included among the top collaborators of Limin Shi 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 Limin Shi. Limin Shi 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.
Tao, Zhipeng, et al.. (2025). The Functions of Major Gut Microbiota in Obesity and Type 2 Diabetes. Metabolites. 15(3). 167–167. 1 indexed citations
2.
Shi, Limin, et al.. (2025). SLC6 transporters as pharmacological targets in depression: Molecular mechanisms and therapeutic strategies. Biochemical Pharmacology. 242(Pt 3). 117210–117210.
4.
Shi, Limin, et al.. (2025). Melanin-concentrating hormone: A promising target for antidepressant treatment. Pharmacology Biochemistry and Behavior. 250. 173999–173999. 2 indexed citations
5.
Yang, Jinying, et al.. (2024). A liver-fat crosstalk for iron flux during healthy beiging of adipose tissue. SHILAP Revista de lepidopterología. 3(1). 2396696–2396696.
6.
Chen, Leilei, Yue Ma, Lin Liu, et al.. (2023). TFEB regulates cellular labile iron and prevents ferroptosis in a TfR1-dependent manner. Free Radical Biology and Medicine. 208. 445–457. 70 indexed citations breakdown →
7.
Tao, Zhipeng, Limin Shi, Louise Zheng, et al.. (2021). Sirt1 coordinates with ERα to regulate autophagy and adiposity. Cell Death Discovery. 7(1). 53–53. 19 indexed citations
8.
Li, Jianing, Liangliang Zheng, Xue Wang, et al.. (2019). Taurine protects INS-1 cells from apoptosis induced by Di(2-ethylhexyl) phthalate via reducing oxidative stress and autophagy. Toxicology Mechanisms and Methods. 29(6). 445–456. 13 indexed citations
9.
Shen, Junjun, Tao Yang, Yi Luo, et al.. (2018). δ-Tocotrienol, Isolated from Rice Bran, Exerts an Anti-Inflammatory Effect via MAPKs and PPARs Signaling Pathways in Lipopolysaccharide-Stimulated Macrophages. International Journal of Molecular Sciences. 19(10). 3022–3022. 41 indexed citations
10.
Liu, Haixia, et al.. (2017). The Kv7/KCNQ channel blocker XE991 protects nigral dopaminergic neurons in the 6-hydroxydopamine rat model of Parkinson’s disease. Brain Research Bulletin. 137. 132–139. 22 indexed citations
11.
Shi, Limin, Xixun Du, Hong Jiang, & Junxia Xie. (2016). Ghrelin and Neurodegenerative Disorders—a Review. Molecular Neurobiology. 54(2). 1144–1155. 62 indexed citations
12.
Shi, Limin, Qinlu Lin, Tao Yang, et al.. (2016). Oral administration of Lentinus edodes β-glucans ameliorates DSS-induced ulcerative colitis in mice via MAPK-Elk-1 and MAPK-PPARγ pathways. Food & Function. 7(11). 4614–4627. 61 indexed citations
13.
He, Shuang, et al.. (2015). Effect of curcumin on p38MAPK expression in DSS-induced murine ulcerative colitis. Genetics and Molecular Research. 14(2). 3450–3458. 28 indexed citations
14.
Lin, Qinlu, et al.. (2015). Oat β-glucan ameliorates dextran sulfate sodium (DSS)-induced ulcerative colitis in mice. Food & Function. 6(11). 3454–3463. 109 indexed citations
15.
Shi, Limin, Xiling Bian, Zhiqiang Qu, et al.. (2013). Peptide hormone ghrelin enhances neuronal excitability by inhibition of Kv7/KCNQ channels. Nature Communications. 4(1). 1435–1435. 89 indexed citations
16.
Xu, Lijie, Chunfeng He, Tinglei Jiang, et al.. (2010). Phylogeography and Population Genetic Structure of the Great Leaf-Nosed Bat (Hipposideros armiger) in China. Journal of Heredity. 101(5). 562–572. 20 indexed citations
17.
Shi, Limin, et al.. (2009). Is food resource partitioning responsible for deviation of echolocation call frequencies from allometry in Rhinolophus macrotis?. ACTA THERIOLOGICA. 54(4). 371–382. 22 indexed citations
18.
Shi, Limin. (2008). Genetic Diversity and Construction of Fingerprinting of Chrysanthemum Cultivars by ISSR Markers. Zhongguo nongye Kexue. 1 indexed citations
19.
Fatemi, S. Hossein, Julie Earle, David A. Kist, et al.. (2002). Prenatal Viral Infection Leads to Pyramidal Cell Atrophy and Macrocephaly in Adulthood: Implications for Genesis of Autism and Schizophrenia. Cellular and Molecular Neurobiology. 22(1). 25–33. 209 indexed citations
20.
NAMIKAWA, Takao, Takashi Amano, Tsutomu HASHIGUCHI, et al.. (1994). Milk Protein Variations in Yellow Cattle in Yunnan, China. Nihon Chikusan Gakkaiho. 65(10). 911–917. 1 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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