Shao-Nian Yang

1.0k total citations
29 papers, 830 citations indexed

About

Shao-Nian Yang is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shao-Nian Yang has authored 29 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Surgery and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shao-Nian Yang's work include Pancreatic function and diabetes (11 papers), Neuropeptides and Animal Physiology (10 papers) and Neuroscience of respiration and sleep (8 papers). Shao-Nian Yang is often cited by papers focused on Pancreatic function and diabetes (11 papers), Neuropeptides and Animal Physiology (10 papers) and Neuroscience of respiration and sleep (8 papers). Shao-Nian Yang collaborates with scholars based in Sweden, China and Italy. Shao-Nian Yang's co-authors include Robert S. Zucker, Kjell Fuxé, Per‐Olof Berggren, Luigi F. Agnati, José Ángel Narváez, Peter B. Hedlund, Detlev Ganten, Börje Bjelke, A. Cintra and M. Ian Phillips and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Physiological Reviews.

In The Last Decade

Shao-Nian Yang

29 papers receiving 816 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao-Nian Yang Sweden 14 519 372 217 123 109 29 830
Norbert Babai Germany 25 892 1.7× 946 2.5× 120 0.6× 69 0.6× 32 0.3× 50 1.3k
Kenji Araishi Japan 9 604 1.2× 413 1.1× 227 1.0× 38 0.3× 11 0.1× 9 919
Tobias Rose Germany 16 588 1.1× 379 1.0× 458 2.1× 174 1.4× 61 0.6× 21 1.0k
Federico Scala United States 16 401 0.8× 571 1.5× 241 1.1× 21 0.2× 21 0.2× 25 1.1k
Steven J. Tavalin United States 19 1.3k 2.5× 1.5k 4.1× 265 1.2× 73 0.6× 19 0.2× 25 2.0k
Michael B. Hoppa United States 17 556 1.1× 689 1.9× 139 0.6× 468 3.8× 18 0.2× 29 1.4k
Yamina Bakiri United Kingdom 9 661 1.3× 233 0.6× 267 1.2× 30 0.2× 30 0.3× 10 986
Jack Tseng United States 15 774 1.5× 627 1.7× 126 0.6× 73 0.6× 13 0.1× 31 1.4k
Dmitri Lissin United States 11 1.8k 3.4× 1.4k 3.8× 305 1.4× 92 0.7× 26 0.2× 26 2.1k
Micaela Galante France 13 522 1.0× 310 0.8× 169 0.8× 42 0.3× 7 0.1× 25 839

Countries citing papers authored by Shao-Nian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Nian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shao-Nian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shao-Nian Yang. A scholar is included among the top collaborators of Shao-Nian 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 Shao-Nian Yang. Shao-Nian Yang 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.
Yang, Shao-Nian, Yue Shi, & Per‐Olof Berggren. (2024). The anterior chamber of the eye technology and its anatomical, optical, and immunological bases. Physiological Reviews. 104(3). 881–929. 3 indexed citations
2.
Shi, Yue, Jia Yu, Lina Yu, et al.. (2023). In Vivo CaV3 Channel Inhibition Promotes Maturation of Glucose-Dependent Ca2+ Signaling in Human iPSC-Islets. Biomedicines. 11(3). 807–807. 2 indexed citations
3.
Yu, Jia, Barbara Leibiger, Shao-Nian Yang, et al.. (2023). Multiple Inositol Polyphosphate Phosphatase Compartmentalization Separates Inositol Phosphate Metabolism from Inositol Lipid Signaling. Biomolecules. 13(6). 885–885. 5 indexed citations
4.
Yao, Xinlei, Lei Liu, Miao Bai, et al.. (2023). Tectorigenin targets PKACα to promote GLUT4 expression in skeletal muscle and improve insulin resistance in vitro and in vivo. International Journal of Biological Sciences. 19(5). 1579–1596. 9 indexed citations
5.
Shi, Yue, Guang Yang, Jia Yu, et al.. (2022). Inositol hexakisphosphate primes syndapin I/PACSIN 1 activation in endocytosis. Cellular and Molecular Life Sciences. 79(6). 286–286. 2 indexed citations
6.
Liu, Lei, Liang Chen, Hong Zhu, et al.. (2019). Dracorhodin perchlorate protects pancreatic β‐cells against glucotoxicity‐ or lipotoxicity‐induced dysfunction and apoptosis in vitro and in vivo. FEBS Journal. 286(18). 3718–3736. 11 indexed citations
7.
Yang, Shao-Nian & Per‐Olof Berggren. (2019). The eye as a novel imaging site in diabetes research. Pharmacology & Therapeutics. 197. 103–121. 13 indexed citations
8.
Chen, Liang, Hao Fang, Xinlei Yao, et al.. (2019). Hypericin maintians PDX1 expression via the Erk pathway and protects islet β-cells against glucotoxicity and lipotoxicity. International Journal of Biological Sciences. 15(7). 1472–1487. 31 indexed citations
9.
Lee, Kayoung, Jaeyoon Kim, Martin Köhler, et al.. (2018). Blocking Ca2+ Channel β3 Subunit Reverses Diabetes. Cell Reports. 24(4). 922–934. 20 indexed citations
10.
Park, Kyoung Sun, Sun Hwa Kim, Amitabh Das, et al.. (2016). TLR3-/4-Priming Differentially Promotes Ca2+ Signaling and Cytokine Expression and Ca2+-Dependently Augments Cytokine Release in hMSCs. Scientific Reports. 6(1). 23103–23103. 15 indexed citations
11.
Yang, Guang, et al.. (2011). Akt Signals Upstream of L-Type Calcium Channels to Optimize Insulin Secretion. Pancreas. 41(1). 15–21. 11 indexed citations
12.
Yang, Shao-Nian, et al.. (1999). Selective Induction of LTP and LTD by Postsynaptic [Ca2+]i Elevation. Journal of Neurophysiology. 81(2). 781–787. 407 indexed citations
13.
Yang, Shao-Nian, Anita C. Hansson, A. Cintra, et al.. (1997). Increased potency of neuropeptide y to antagonize α 2 -adrenoceptor function in the nucleus tractus solitarii of the spontaneously hypertensive rat. Neuroscience. 78(3). 803–813. 12 indexed citations
14.
Yang, Shao-Nian, Bernd Bunnemann, A. Cintra, & Kjell Fuxé. (1996). Localization of neuropeptide Y Y1 receptor-like immunoreactivity in catecholaminergic neurons of the rat medulla oblongata. Neuroscience. 73(2). 519–530. 22 indexed citations
15.
16.
17.
Yang, Shao-Nian, et al.. (1994). Antagonistic regulation of α2-adrenoceptors by neuropeptide Y receptor subtypes in the nucleus tractus solitarii. European Journal of Pharmacology. 271(1). 201–212. 25 indexed citations
18.
Yang, Shao-Nian, et al.. (1994). Evidence for an antagonitic angiotensin II/α2-adrenoceptor interaction in the nucleus tractus solitarii. European Journal of Pharmacology. 262(3). 271–282. 27 indexed citations
19.
20.
Yang, Shao-Nian, José Ángel Narváez, Börje Bjelke, Luigi F. Agnati, & Kjell Fuxé. (1993). Microinjections of subpicomolar amounts of NPY(13–36) into the nucleus tractus solitarius of the rat counteract the vasodepressor responses of NPY(1–36) and of a NPY Y1 receptor agonist. Brain Research. 621(1). 126–132. 35 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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