Mingkun Liang

1.0k total citations
24 papers, 489 citations indexed

About

Mingkun Liang is a scholar working on Molecular Biology, Social Psychology and Cancer Research. According to data from OpenAlex, Mingkun Liang has authored 24 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Social Psychology and 5 papers in Cancer Research. Recurrent topics in Mingkun Liang's work include Neuroendocrine regulation and behavior (8 papers), MicroRNA in disease regulation (4 papers) and Neuroscience of respiration and sleep (4 papers). Mingkun Liang is often cited by papers focused on Neuroendocrine regulation and behavior (8 papers), MicroRNA in disease regulation (4 papers) and Neuroscience of respiration and sleep (4 papers). Mingkun Liang collaborates with scholars based in China, Japan and Russia. Mingkun Liang's co-authors include Haruhiro Higashida, Jing Zhong, Shirin Akther, Jianmin Huang, Zhenzhen Chen, Kai‐Hua Wang, Longjian Huang, Ning Luo, Takahiro Tsuji and Tomoko Nishimura and has published in prestigious journals such as Journal of Ethnopharmacology, World Journal of Gastroenterology and Poultry Science.

In The Last Decade

Mingkun Liang

23 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingkun Liang China 12 195 165 112 64 46 24 489
Nermin Eissa United Arab Emirates 12 213 1.1× 96 0.6× 22 0.2× 26 0.4× 5 0.1× 31 606
Zhaofei Wu United States 11 188 1.0× 110 0.7× 28 0.3× 297 4.6× 25 0.5× 20 649
Mathieu Rajalu Switzerland 7 312 1.6× 40 0.2× 21 0.2× 27 0.4× 14 0.3× 8 550
Padmanabhan Mannangatti United States 14 298 1.5× 45 0.3× 24 0.2× 24 0.4× 16 0.3× 28 698
Jianbo Xiu China 9 314 1.6× 56 0.3× 68 0.6× 23 0.4× 4 0.1× 18 593
Marcelo R. Zimmer United States 8 178 0.9× 78 0.5× 22 0.2× 497 7.8× 7 0.2× 10 934
Sandra Beeské France 11 122 0.6× 71 0.4× 13 0.1× 54 0.8× 4 0.1× 13 376
Héctor Solís‐Chagoyán Mexico 14 154 0.8× 23 0.1× 24 0.2× 179 2.8× 2 0.0× 45 636
Yuki Higuchi Japan 12 158 0.8× 37 0.2× 15 0.1× 13 0.2× 5 0.1× 31 404

Countries citing papers authored by Mingkun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Mingkun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingkun Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingkun Liang. A scholar is included among the top collaborators of Mingkun Liang 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 Mingkun Liang. Mingkun Liang 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.
Li, Sen, Yang Cui, Litao Xu, et al.. (2024). Taurine attenuates activation of hepatic stellate cells by inhibiting autophagy and inducing ferroptosis. World Journal of Gastroenterology. 30(15). 2143–2154. 8 indexed citations
2.
Rehman, Saif ur, Yalin Zheng, Tong Feng, et al.. (2022). Comprehensive Transcriptome Sequencing Analysis of Hirudinaria manillensis in Different Growth Periods. Frontiers in Physiology. 13. 897458–897458. 2 indexed citations
3.
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5.
Wang, Mingdong, et al.. (2022). Tumor‐suppressive miR‐323a inhibits pancreatic cancer cell proliferation and glycolysis through targeting HK‐2. Pathology International. 72(12). 617–630. 7 indexed citations
6.
Munesue, Seiichi, Mingkun Liang, Ai Harashima, et al.. (2021). Transport of oxytocin to the brain after peripheral administration by membrane‐bound or soluble forms of receptors for advanced glycation end‐products. Journal of Neuroendocrinology. 33(3). e12963–e12963. 21 indexed citations
7.
Liang, Mingkun, et al.. (2021). Integrative analysis of epigenomics, transcriptomics, and proteomics to identify key targets and pathways of Weining granule for gastric cancer. Journal of Ethnopharmacology. 270. 113787–113787. 7 indexed citations
8.
Fan, Yihua, et al.. (2020). Effect of Traditional Chinese Medicine Injection on Cancer‐Related Fatigue: A Meta‐Analysis Based on Existing Evidence. Evidence-based Complementary and Alternative Medicine. 2020(1). 2456873–2456873. 6 indexed citations
9.
Liang, Mingkun, Jing Zhong, Chiharu Tsuji, et al.. (2020). Oxytocin and CD38 in the paraventricular nucleus play a critical role in paternal aggression in mice. Hormones and Behavior. 120. 104695–104695. 10 indexed citations
10.
Huang, Xiaofeng, et al.. (2020). Effect of feeding frequency on the growth performance, carcass traits, and apparent nutrient digestibility in geese. Poultry Science. 99(10). 4818–4823. 10 indexed citations
11.
Deng, Xin, Xiaoxiao Zhou, Lei Fu, et al.. (2019). Protective effect and mechanisms of Weining granule on N-methyl-N'-nitro-N- nitrosoguanidine-induced gastric cancer in rats.. PubMed. 39(3). 393–401. 5 indexed citations
12.
Chen, Zhenzhen, Kai‐Hua Wang, Jianmin Huang, et al.. (2018). Upregulated Serum MiR-146b Serves as a Biomarker for Acute Ischemic Stroke. Cellular Physiology and Biochemistry. 45(1). 397–405. 44 indexed citations
13.
Huang, Jinlan, Yan Zhou, Fan Zhang, et al.. (2018). Comprehensive analysis of differentially expressed profiles of Alzheimer’s disease associated circular RNAs in an Alzheimer’s disease mouse model. Aging. 10(2). 253–265. 64 indexed citations
14.
Higashida, Haruhiro, Teruko Yuhi, Shirin Akther, et al.. (2017). Oxytocin release via activation of TRPM2 and CD38 in the hypothalamus during hyperthermia in mice: Implication for autism spectrum disorder. Neurochemistry International. 119. 42–48. 24 indexed citations
15.
Higashida, Haruhiro, Mingkun Liang, Toru Yoshihara, et al.. (2017). An immunohistochemical, enzymatic, and behavioral study of CD157/BST-1 as a neuroregulator. BMC Neuroscience. 18(1). 35–35. 44 indexed citations
16.
Zhong, Jing, Sarwat Amina, Mingkun Liang, et al.. (2016). Cyclic ADP-Ribose and Heat Regulate Oxytocin Release via CD38 and TRPM2 in the Hypothalamus during Social or Psychological Stress in Mice. Frontiers in Neuroscience. 10. 304–304. 33 indexed citations
17.
Akther, Shirin, Mingkun Liang, Jing Zhong, et al.. (2015). Paternal Retrieval Behavior Regulated by Brain Estrogen Synthetase (Aromatase) in Mouse Sires that Engage in Communicative Interactions with Pairmates. Frontiers in Neuroscience. 9. 450–450. 21 indexed citations
18.
Zhong, Jing, Mingkun Liang, Shirin Akther, et al.. (2014). c-Fos expression in the paternal mouse brain induced by communicative interaction with maternal mates. Molecular Brain. 7(1). 66–66. 28 indexed citations
19.
Liang, Mingkun, et al.. (2014). Pairmate-dependent pup retrieval as parental behavior in male mice. Frontiers in Neuroscience. 8. 186–186. 21 indexed citations
20.
Akther, Shirin, Jing Zhong, Mingkun Liang, et al.. (2013). CD38 in the nucleus accumbens and oxytocin are related to paternal behavior in mice. Molecular Brain. 6(1). 41–41. 44 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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