Huanmin Yang

1.2k total citations
52 papers, 888 citations indexed

About

Huanmin Yang is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Huanmin Yang has authored 52 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Physiology and 11 papers in Cancer Research. Recurrent topics in Huanmin Yang's work include Adipose Tissue and Metabolism (12 papers), Stress Responses and Cortisol (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Huanmin Yang is often cited by papers focused on Adipose Tissue and Metabolism (12 papers), Stress Responses and Cortisol (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Huanmin Yang collaborates with scholars based in China, Canada and Australia. Huanmin Yang's co-authors include Shuai Lian, Jingru Guo, Jianfa Wang, Bin Xu, Shize Li, Hong Ji, Fanzhi Kong, Zhen Li, Ping Zhang and Wenjin Guo and has published in prestigious journals such as Scientific Reports, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

Huanmin Yang

51 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huanmin Yang China	19	397	177	124	102	86	52	888
Jingru Guo China	19	368 0.9×	142 0.8×	128 1.0×	75 0.7×	67 0.8×	41	822
Shuai Lian China	21	514 1.3×	193 1.1×	186 1.5×	169 1.7×	110 1.3×	70	1.2k
Dandan Zhao China	21	763 1.9×	122 0.7×	257 2.1×	149 1.5×	40 0.5×	61	1.5k
Ying Zong China	18	499 1.3×	100 0.6×	64 0.5×	115 1.1×	52 0.6×	86	1.3k
Dan Shan China	19	472 1.2×	79 0.4×	68 0.5×	80 0.8×	70 0.8×	52	1.2k
Ken Shirato Japan	21	409 1.0×	296 1.7×	69 0.6×	230 2.3×	37 0.4×	55	1.2k
Kaifan Yu China	20	520 1.3×	233 1.3×	130 1.0×	40 0.4×	199 2.3×	48	1.0k
Christina Pettan-Brewer United States	16	314 0.8×	180 1.0×	84 0.7×	33 0.3×	44 0.5×	47	868
Giovanna Traina Italy	21	679 1.7×	221 1.2×	21 0.2×	125 1.2×	58 0.7×	80	1.4k
Francisco Eduardo Martinez Brazil	19	212 0.5×	114 0.6×	71 0.6×	77 0.8×	33 0.4×	72	1.1k

Countries citing papers authored by Huanmin Yang

Since Specialization

Citations

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

Fields of papers citing papers by Huanmin Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huanmin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Huanmin Yang. A scholar is included among the top collaborators of Huanmin Yang 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 Huanmin Yang. Huanmin Yang 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

Fu, Shoupeng, Jie Dai, Jianwen Hu, et al.. (2022). Integrated metabolism and epigenetic modifications in the macrophages of mice in responses to cold stress. Journal of Zhejiang University SCIENCE B. 23(6). 461–480. 19 indexed citations

Ma, Li, Chengxu Li, Shuai Lian, et al.. (2020). ActivinA activates Notch1-Shh signaling to regulate proliferation in C2C12 skeletal muscle cells. Molecular and Cellular Endocrinology. 519. 111055–111055. 10 indexed citations

Ji, Hong, Jing Xu, Shuai Lian, et al.. (2020). Identification, functional prediction, and key lncRNA verification of cold stress-related lncRNAs in rats liver. Scientific Reports. 10(1). 521–521. 15 indexed citations

Xu, Bin, Shuai Lian, Jingru Guo, et al.. (2019). Neuroinflammation induced by secretion of acetylated HMGB1 from activated microglia in hippocampi of mice following chronic cold exposure. Brain Research. 1726. 146495–146495. 20 indexed citations

Xu, Bin, Jianfa Wang, Hai Wang, et al.. (2019). Response of the maternal hypothalamus to cold stress during late pregnancy in rats. Brain Research. 1722. 146354–146354. 9 indexed citations

Guo, Wenjin, Shuai Lian, Zhen Li, et al.. (2018). The Favored Mechanism for Coping with Acute Cold Stress: Upregulation of miR-210 in Rats. Cellular Physiology and Biochemistry. 46(5). 2090–2102. 20 indexed citations

Xu, Bin, Shize Li, Jingru Guo, et al.. (2018). HMGB1-mediated differential response on hippocampal neurotransmitter disorder and neuroinflammation in adolescent male and female mice following cold exposure. Brain Behavior and Immunity. 76. 223–235. 36 indexed citations

Lian, Shuai, Bin Xu, Wenjin Guo, et al.. (2018). Prenatal cold stress: Effect on maternal hippocampus and offspring behavior in rats. Behavioural Brain Research. 346. 1–10. 33 indexed citations

Lian, Shuai, Bin Xu, Wenjie Li, et al.. (2018). Possible mechanisms of prenatal cold stress induced-anxiety-like behavior depression in offspring rats. Behavioural Brain Research. 359. 304–311. 16 indexed citations

10.

Xu, Bin, Shuai Lian, Shize Li, et al.. (2018). GABAB receptor mediate hippocampal neuroinflammation in adolescent male and female mice after cold expose. Brain Research Bulletin. 142. 163–175. 27 indexed citations

11.

Kong, Fanzhi, Hui Wang, Jingru Guo, et al.. (2016). Hsp70 suppresses apoptosis of BRL cells by regulating the expression of Bcl-2, cytochrome C, and caspase 8/3. In Vitro Cellular & Developmental Biology - Animal. 52(5). 568–575. 36 indexed citations

12.

Ji, Hong, Huanmin Yang, Jianfa Wang, et al.. (2014). Effect of adenovirus-mediated up-regulation of α-enolase gene products on follicle-stimulating hormone receptor mRNA and luteinizing hormone receptor mRNA of granular cells from goose F1 follicles. Research in Veterinary Science. 96(3). 526–532. 5 indexed citations

13.

Du, Juan, et al.. (2014). Identification and functional analysis of differentially expressed genes related to obesity using DNA microarray. Genetics and Molecular Research. 13(1). 64–72. 5 indexed citations

14.

Ji, Hong, Jianfa Wang, Juxiong Liu, et al.. (2013). Selection of Reliable Reference Genes for Real-time qRT-PCR Analysis of Zi Geese (<italic>Anser anser domestica</italic>) Gene Expression. Asian-Australasian Journal of Animal Sciences. 26(3). 423–432. 11 indexed citations

15.

Yang, Huanmin. (2012). Research Progress on Effects of Cold Stress on Main Neuroendocrine Responses. Journal of environmental health. 1 indexed citations

16.

Gao, Huijiang, et al.. (2012). Statistical models for jointly analyzing multiple allometries. Journal of Theoretical Biology. 318. 205–209. 7 indexed citations

17.

Yang, Huanmin, et al.. (2010). Research Progress on Effects of Cold Stress on Function of Immune System in Cattle and Poultry. Journal of environmental health. 27(7). 649–651. 1 indexed citations

18.

Sun, Dongbo, et al.. (2010). Development of a novel LAMP diagnostic method for visible detection of swine Pasteurella multocida. Veterinary Research Communications. 34(8). 649–657. 14 indexed citations

19.

Kang, Bo, Jingru Guo, Huanmin Yang, et al.. (2009). Differential expression profiling of ovarian genes in prelaying and laying geese. Poultry Science. 88(9). 1975–1983. 41 indexed citations

20.

Zhang, Xiuqing, Song Li, Jue Ye, et al.. (1996). Identification of expressive sequences from genomic fragments by exontrapping. 13(5). 280–283. 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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