Ping Bo

1.2k total citations
47 papers, 1.0k citations indexed

About

Ping Bo is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Ping Bo has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 19 papers in Molecular Biology and 16 papers in Endocrine and Autonomic Systems. Recurrent topics in Ping Bo's work include Neuropeptides and Animal Physiology (27 papers), Regulation of Appetite and Obesity (15 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers). Ping Bo is often cited by papers focused on Neuropeptides and Animal Physiology (27 papers), Regulation of Appetite and Obesity (15 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers). Ping Bo collaborates with scholars based in China, Italy and Sweden. Ping Bo's co-authors include Penghua Fang, Zhenwen Zhang, Mingyi Shi, Mei Yu, Lili Guo, Yan Zhu, Mingyi Shi, Feng Qian, Jijun Wang and Min Wen and has published in prestigious journals such as PLoS ONE, Neuroscience & Biobehavioral Reviews and Biochemical Pharmacology.

In The Last Decade

Ping Bo

47 papers receiving 984 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ping Bo 399 341 284 248 178 47 1.0k
Penghua Fang 588 1.5× 549 1.6× 427 1.5× 352 1.4× 267 1.5× 81 1.6k
Mei Yu 309 0.8× 676 2.0× 252 0.9× 189 0.8× 205 1.2× 45 1.4k
Adam I. Cygankiewicz 158 0.4× 323 0.9× 386 1.4× 146 0.6× 148 0.8× 29 1.2k
Grzegorz Burnat 154 0.4× 292 0.9× 221 0.8× 233 0.9× 288 1.6× 39 1.1k
Setsuko Kanai 291 0.7× 283 0.8× 230 0.8× 77 0.3× 258 1.4× 61 1.2k
Marie-Madeleine Loubatières-Mariani 342 0.9× 520 1.5× 169 0.6× 132 0.5× 756 4.2× 67 1.6k
Hélène Bachelard 293 0.7× 492 1.4× 148 0.5× 35 0.1× 126 0.7× 52 1.2k
P. Mitznegg 456 1.1× 354 1.0× 117 0.4× 57 0.2× 251 1.4× 68 1.2k
Mohamed S. Zaïbi 102 0.3× 539 1.6× 90 0.3× 182 0.7× 238 1.3× 32 1.2k
Yuka Sudo 284 0.7× 509 1.5× 71 0.3× 162 0.7× 85 0.5× 54 1.2k

Countries citing papers authored by Ping Bo

Since Specialization
Citations

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

Fields of papers citing papers by Ping Bo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Bo

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Bo. A scholar is included among the top collaborators of Ping Bo 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 Ping Bo. Ping Bo 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.
Fang, Penghua, Mei Yu, Mingyi Shi, et al.. (2019). Treatment with celastrol protects against obesity through suppression of galanin-induced fat intake and activation of PGC-1α/GLUT4 axis-mediated glucose consumption. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(6). 1341–1350. 44 indexed citations
2.
Yang, Changshui, et al.. (2019). RRLC-DAD-ESI-MS based and bioactivity guided phytochemical analysis and separation of coumarins from raw extracts of Trigonostemon lutescens. Journal of Pharmaceutical and Biomedical Analysis. 169. 293–302. 8 indexed citations
3.
Fang, Penghua, Mei Yu, Mingyi Shi, Ping Bo, & Zhenwen Zhang. (2019). Galanin peptide family regulation of glucose metabolism. Frontiers in Neuroendocrinology. 56. 100801–100801. 45 indexed citations
4.
Fang, Penghua, Yabin Sun, Xinru Gu, et al.. (2019). Baicalin ameliorates hepatic insulin resistance and gluconeogenic activity through inhibition of p38 MAPK/PGC-1α pathway. Phytomedicine. 64. 153074–153074. 56 indexed citations
5.
Wen, Min, Mingjie Wu, Penghua Fang, et al.. (2018). Effect of Baicalein on GLUT4 Translocation in Adipocytes of Diet-Induced Obese Mice. Cellular Physiology and Biochemistry. 50(2). 426–436. 16 indexed citations
6.
Fang, Penghua, Mei Yu, Min Wen, et al.. (2018). Beneficial effect of baicalin on insulin sensitivity in adipocytes of diet-induced obese mice. Diabetes Research and Clinical Practice. 139. 262–271. 28 indexed citations
7.
Fang, Penghua, Lei Zhang, Mei Yu, et al.. (2017). Activiated galanin receptor 2 attenuates insulin resistance in skeletal muscle of obese mice. Peptides. 99. 92–98. 22 indexed citations
8.
Fang, Penghua, et al.. (2016). Melittin induces human gastric cancer cell apoptosisviaactivation of mitochondrial pathway. World Journal of Gastroenterology. 22(11). 3186–3186. 78 indexed citations
9.
Fang, Penghua, et al.. (2015). Crosstalk between exercise and galanin system alleviates insulin resistance. Neuroscience & Biobehavioral Reviews. 59. 141–146. 10 indexed citations
10.
Fang, Penghua, Mingyi Shi, Xiaoyun Dong, et al.. (2015). The regulative effect of galanin family members on link of energy metabolism and reproduction. Peptides. 71. 240–249. 24 indexed citations
11.
Fang, Penghua, Min Wen, Yong Sun, et al.. (2014). The potential antidepressant and antidiabetic effects of galanin system. Pharmacology Biochemistry and Behavior. 120. 82–87. 15 indexed citations
12.
Fang, Penghua, Mingyi Shi, Yan Zhu, Zhenwen Zhang, & Ping Bo. (2014). Central injection of GalR1 agonist M617 facilitates GLUT4 expression in cardiac muscle of type 2 diabetic rats. Experimental Gerontology. 65. 85–89. 16 indexed citations
13.
Guo, Lili, Penghua Fang, Mei Yu, et al.. (2014). Central alarin ameliorated insulin resistance of adipocytes in type 2 diabetic rats. Journal of Endocrinology. 223(3). 217–225. 16 indexed citations
14.
Fang, Penghua, Mingyi Shi, Mei Yu, et al.. (2013). Endogenous peptides as risk markers to assess the development of insulin resistance. Peptides. 51. 9–14. 20 indexed citations
15.
Gan, Hui‐Li, et al.. (2010). Statins Decrease Adverse Outcomes in Coronary Artery Bypass for Extensive Coronary Artery Disease as well as Left Main Coronary Stenosis. Cardiovascular Therapeutics. 28(2). 70–79. 21 indexed citations
16.
Gan, Hui‐Li, et al.. (2009). The unidirectional valve patch provides no benefits to early and long-term survival in patients with ventricular septal defect and severe pulmonary artery hypertension. Journal of Thoracic and Cardiovascular Surgery. 139(4). 950–955. 6 indexed citations
17.
Ongini, E., et al.. (1992). Effects of remoxipride, a dopamine D-2 antagonist antipsychotic, on sleep-waking patterns and EEG activity in rats and rabbits. Psychopharmacology. 107(2-3). 236–242. 15 indexed citations
18.
Bo, Ping. (1992). Comparative study of the EEG profile of neuroleptics selective for D-1 or D-2 dopamine receptors in the rabbit. Pharmacological Research. 26(1). 67–74. 4 indexed citations
19.
Bo, Ping, et al.. (1990). EEG and behavioural effects of polyamines (Spermine and Spermidine) on rabbits. Pharmacological Research. 22(4). 481–491. 7 indexed citations
20.
Moglia, A., et al.. (1976). Studio EEGrafico preliminare sugli effetti del propranololo nell'uomo. Il Farmaco. 31(11). 568–573. 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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