Zhi‐Ling Guo

1.2k total citations
52 papers, 964 citations indexed

About

Zhi‐Ling Guo is a scholar working on Endocrine and Autonomic Systems, Complementary and alternative medicine and Physiology. According to data from OpenAlex, Zhi‐Ling Guo has authored 52 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrine and Autonomic Systems, 24 papers in Complementary and alternative medicine and 19 papers in Physiology. Recurrent topics in Zhi‐Ling Guo's work include Neuroscience of respiration and sleep (24 papers), Acupuncture Treatment Research Studies (22 papers) and Heart Rate Variability and Autonomic Control (18 papers). Zhi‐Ling Guo is often cited by papers focused on Neuroscience of respiration and sleep (24 papers), Acupuncture Treatment Research Studies (22 papers) and Heart Rate Variability and Autonomic Control (18 papers). Zhi‐Ling Guo collaborates with scholars based in United States, China and Russia. Zhi‐Ling Guo's co-authors include John C. Longhurst, Stephanie C. Tjen‐A‐Looi, Liang‐Wu Fu, Min Li, Wei Zhou, Peng Li, Hui‐Chin Lai, Shaista Malik, Peng Li and Verna R. Porter and has published in prestigious journals such as The Journal of Physiology, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Zhi‐Ling Guo

52 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhi‐Ling Guo United States 21 516 342 281 211 177 52 964
Liang‐Wu Fu United States 17 345 0.7× 381 1.1× 232 0.8× 157 0.7× 138 0.8× 35 874
Sheng‐Xing Ma United States 18 564 1.1× 141 0.4× 353 1.3× 110 0.5× 116 0.7× 48 859
Shawn G. Hayes United States 22 505 1.0× 830 2.4× 378 1.3× 238 1.1× 58 0.3× 30 1.3k
Stephanie C. Tjen‐A‐Looi United States 28 1.3k 2.6× 830 2.4× 459 1.6× 350 1.7× 428 2.4× 67 2.1k
Fusako Kagitani Japan 19 329 0.6× 108 0.3× 180 0.6× 40 0.2× 154 0.9× 46 893
T. Yao Sweden 11 133 0.3× 237 0.7× 185 0.7× 180 0.9× 112 0.6× 18 718
Satoshi Koba Japan 18 221 0.4× 412 1.2× 192 0.7× 113 0.5× 57 0.3× 47 716
Noah J. Marcus United States 23 147 0.3× 821 2.4× 431 1.5× 807 3.8× 166 0.9× 55 1.4k
Tadeusz J. Scislo United States 20 167 0.3× 539 1.6× 182 0.6× 558 2.6× 63 0.4× 49 886
Pernille Nordby Denmark 13 169 0.3× 108 0.3× 455 1.6× 28 0.1× 67 0.4× 17 949

Countries citing papers authored by Zhi‐Ling Guo

Since Specialization
Citations

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

Fields of papers citing papers by Zhi‐Ling Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhi‐Ling Guo. 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 Zhi‐Ling Guo. The network helps show where Zhi‐Ling Guo may publish in the future.

Co-authorship network of co-authors of Zhi‐Ling Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐Ling Guo. A scholar is included among the top collaborators of Zhi‐Ling Guo 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 Zhi‐Ling Guo. Zhi‐Ling Guo 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.
Tan, Hongjun, Zhi‐Ling Guo, Yuntian Chen, et al.. (2025). PV potential analysis through deep learning and remote sensing-based urban land classification. Applied Energy. 387. 125616–125616. 5 indexed citations
2.
Guo, Zhi‐Ling, et al.. (2023). Adenosine A2A receptors in the rostral ventrolateral medulla participate in blood pressure decrease with electroacupuncture in hypertensive rats. Frontiers in Cardiovascular Medicine. 10. 1275952–1275952. 3 indexed citations
3.
Tjen‐A‐Looi, Stephanie C., et al.. (2022). Neurogenic Hypotension and Bradycardia Modulated by Electroacupuncture in Hypothalamic Paraventricular Nucleus. Frontiers in Neuroscience. 16. 934752–934752. 3 indexed citations
4.
Guo, Xiaojing, Jing-bin Huang, Xinghua Yao, et al.. (2022). Relationships Between Diurnal Changes of Tongue Coating Microbiota and Intestinal Microbiota. Frontiers in Cellular and Infection Microbiology. 12. 813790–813790. 9 indexed citations
5.
6.
Tjen‐A‐Looi, Stephanie C., Liang‐Wu Fu, Zhi‐Ling Guo, & John C. Longhurst. (2018). Modulation of Neurally Mediated Vasodepression and Bradycardia by Electroacupuncture through Opioids in Nucleus Tractus Solitarius. Scientific Reports. 8(1). 1900–1900. 9 indexed citations
7.
Guo, Zhi‐Ling & Shaista Malik. (2018). Acupuncture activates a direct pathway from the nucleus tractus solitarii to the rostral ventrolateral medulla. Brain Research. 1708. 69–77. 11 indexed citations
8.
Li, Min, Stephanie C. Tjen‐A‐Looi, Zhi‐Ling Guo, & John C. Longhurst. (2016). Repetitive Electroacupuncture Attenuates Cold-Induced Hypertension through Enkephalin in the Rostral Ventral Lateral Medulla. Scientific Reports. 6(1). 35791–35791. 32 indexed citations
9.
Li, Min, Stephanie C. Tjen‐A‐Looi, Zhi‐Ling Guo, & John C. Longhurst. (2012). Repetitive electroacupuncture causes prolonged increased met-enkephalin expression in the rVLM of conscious rats. Autonomic Neuroscience. 170(1-2). 30–35. 15 indexed citations
10.
Guo, Zhi‐Ling & John C. Longhurst. (2011). Nucleus Ambiguus Neurons are Activated by Acupuncture: Relation to Acetylcholine and Enkephalin. The FASEB Journal. 25. 1 indexed citations
11.
Fu, Liang‐Wu, Zhi‐Ling Guo, & John C. Longhurst. (2010). Endogenous endothelin stimulates cardiac sympathetic afferents during ischaemia. The Journal of Physiology. 588(13). 2473–2486. 12 indexed citations
12.
Guo, Zhi‐Ling & John C. Longhurst. (2010). Activation of reciprocal pathways between arcuate nucleus and ventrolateral periaqueductal gray during electroacupuncture: Involvement of VGLUT3. Brain Research. 1360. 77–88. 24 indexed citations
13.
Guo, Zhi‐Ling, et al.. (2008). Responses of opioid and serotonin containing medullary raphe neurons to electroacupuncture. Brain Research. 1229. 125–136. 36 indexed citations
14.
Zhou, Wei, Liang‐Wu Fu, Stephanie C. Tjen‐A‐Looi, Zhi‐Ling Guo, & John C. Longhurst. (2006). Role of glutamate in a visceral sympathoexcitatory reflex in rostral ventrolateral medulla of cats. American Journal of Physiology-Heart and Circulatory Physiology. 291(3). H1309–H1318. 24 indexed citations
15.
Guo, Zhi‐Ling & John C. Longhurst. (2006). Responses of neurons containing VGLUT3/nNOS-cGMP in the rVLM to cardiac stimulation. Neuroreport. 17(3). 255–259. 9 indexed citations
16.
17.
Guo, Zhi‐Ling, et al.. (2004). Involvement of nuclei in the hypothalamus in cardiac sympathoexcitatory reflexes in cats. Brain Research. 1006(1). 36–48. 25 indexed citations
19.
Guo, Zhi‐Ling, Hui‐Chin Lai, & John C. Longhurst. (2002). Medullary pathways involved in cardiac sympathoexcitatory reflexes in the cat. Brain Research. 925(1). 55–66. 33 indexed citations
20.
Hiraoka, K., Zhi‐Ling Guo, Aaron C. Overland, et al.. (2001). Optimal temperature in pancreas preservation by the two-layer cold storage method before islet isolation. Transplantation Proceedings. 33(1-2). 891–892. 5 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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