Shukun Jiang

590 total citations
21 papers, 448 citations indexed

About

Shukun Jiang is a scholar working on Molecular Biology, Pharmacology and Rehabilitation. According to data from OpenAlex, Shukun Jiang has authored 21 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Rehabilitation. Recurrent topics in Shukun Jiang's work include Cannabis and Cannabinoid Research (6 papers), Wound Healing and Treatments (5 papers) and Muscle Physiology and Disorders (4 papers). Shukun Jiang is often cited by papers focused on Cannabis and Cannabinoid Research (6 papers), Wound Healing and Treatments (5 papers) and Muscle Physiology and Disorders (4 papers). Shukun Jiang collaborates with scholars based in China, United States and Germany. Shukun Jiang's co-authors include Da-Wei Guan, Linlin Wang, Rui Zhao, Jiao-Yong Li, Miao Zhang, Min Liu, Shanshan Li, Meng Wang, Changsheng Liu and Yu Du and has published in prestigious journals such as Scientific Reports, Life Sciences and European Journal of Pharmacology.

In The Last Decade

Shukun Jiang

20 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shukun Jiang China 11 165 146 96 55 40 21 448
Mennatallah A. Gowayed Egypt 14 66 0.4× 174 1.2× 33 0.3× 35 0.6× 20 0.5× 33 486
Ki Ho Cho South Korea 13 122 0.7× 124 0.8× 23 0.2× 38 0.7× 19 0.5× 20 454
Nina Yin China 14 73 0.4× 132 0.9× 13 0.1× 78 1.4× 60 1.5× 28 463
Vera Morsanuto Italy 14 49 0.3× 123 0.8× 20 0.2× 108 2.0× 28 0.7× 17 552
Eun-Hee Lee South Korea 12 61 0.4× 190 1.3× 17 0.2× 40 0.7× 32 0.8× 34 547
Feti Tülübaş Türkiye 14 31 0.2× 79 0.5× 102 1.1× 113 2.1× 34 0.8× 27 535
Nazgol‐Sadat Haddadi Iran 14 49 0.3× 166 1.1× 26 0.3× 73 1.3× 50 1.3× 34 588
Abolfazl Abbaszadeh Iran 10 33 0.2× 73 0.5× 49 0.5× 60 1.1× 60 1.5× 33 372
Runxiao Lv China 10 39 0.2× 155 1.1× 34 0.4× 47 0.9× 62 1.6× 13 436
Eun‐Jeong Koh South Korea 17 61 0.4× 194 1.3× 39 0.4× 131 2.4× 138 3.5× 53 850

Countries citing papers authored by Shukun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shukun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shukun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shukun Jiang. A scholar is included among the top collaborators of Shukun Jiang 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 Shukun Jiang. Shukun Jiang 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.
2.
Wen, Gehua, Xiaoni Zhan, Xiaoming Xu, et al.. (2023). Ketamine Improves the Glymphatic Pathway by Reducing the Pyroptosis of Hippocampal Astrocytes in the Chronic Unpredictable Mild Stress Model. Molecular Neurobiology. 61(4). 2049–2062. 15 indexed citations
3.
4.
Jiang, Shukun, Guojie Liu, Huiya Yuan, et al.. (2021). Changes on proteomic and metabolomic profile in serum of mice induced by chronic exposure to tramadol. Scientific Reports. 11(1). 1454–1454. 7 indexed citations
5.
Du, Yang, et al.. (2020). JAK/STAT and VEGF/PAK1 signaling as emerging targets for topical treatment of psoriasis: a pilot study.. International Journal of Clinical and Experimental Pathology. 13(12). 3111–3119. 7 indexed citations
6.
Zhang, Miao, Linlin Wang, Shukun Jiang, et al.. (2019). Activation of cannabinoid type 2 receptor protects skeletal muscle from ischemia-reperfusion injury partly via Nrf2 signaling. Life Sciences. 230. 55–67. 25 indexed citations
7.
Zhang, Miao, et al.. (2019). The distribution and time-dependent expression of HIPK2 during the repair of contused skeletal muscle in mice.. PubMed. 34(7). 745–753. 5 indexed citations
8.
Du, Yu, Qi Wang, Shukun Jiang, et al.. (2018). Cannabinoid 2 receptor attenuates inflammation during skin wound healing by inhibiting M1 macrophages rather than activating M2 macrophages. Journal of Inflammation. 15(1). 25–25. 69 indexed citations
9.
Xu, Xiaoming, Shukun Jiang, Enyu Xu, Xu Wu, & Rui Zhao. (2018). Inhibition of CB1 receptor ameliorates spatial learning and memory impairment in mice with traumatic brain injury. Neuroscience Letters. 696. 127–131. 10 indexed citations
10.
Zhao, Rui, Jiao-Yong Li, Miao Zhang, et al.. (2017). Sudden cardiac death of Duchenne muscular dystrophy with NT-proBNP in pericardial fluid as a useful biomarker for diagnosis of the cause of death: a case report. Forensic Sciences Research. 5(2). 165–169. 3 indexed citations
11.
Li, Jiao-Yong, Shukun Jiang, Linlin Wang, et al.. (2017). α7-nAChR Activation Has an Opposite Effect on Healing of Covered and Uncovered Wounds. Inflammation. 41(2). 474–484. 6 indexed citations
12.
Li, Shanshan, Min Liu, Shukun Jiang, et al.. (2016). Cannabinoid CB2 receptors are involved in the regulation of fibrogenesis during skin wound repair in mice. Molecular Medicine Reports. 13(4). 3441–3450. 35 indexed citations
13.
Wang, Linlin, Rui Zhao, Changsheng Liu, et al.. (2016). A fundamental study on the dynamics of multiple biomarkers in mouse excisional wounds for wound age estimation. Journal of Forensic and Legal Medicine. 39. 138–146. 28 indexed citations
14.
Wang, Linlin, Rui Zhao, Jiao-Yong Li, et al.. (2016). Pharmacological activation of cannabinoid 2 receptor attenuates inflammation, fibrogenesis, and promotes re-epithelialization during skin wound healing. European Journal of Pharmacology. 786. 128–136. 77 indexed citations
15.
Gao, Yanling, Changsheng Liu, Rui Zhao, et al.. (2016). [Effects of PI3K/Akt Pathway in Wound Healing Process of Mice Skin].. PubMed. 32(1). 7–12. 16 indexed citations
16.
Jiang, Shukun, Miao Zhang, Meng Wang, et al.. (2015). Detection of satellite cells during skeletal muscle wound healing in rats: time-dependent expressions of Pax7 and MyoD in relation to wound age. International Journal of Legal Medicine. 130(1). 163–172. 29 indexed citations
17.
Jiang, Shukun, Miao Zhang, Meng Wang, et al.. (2015). The monoacylglycerol lipase inhibitor JZL184 decreases inflammatory response in skeletal muscle contusion in rats. European Journal of Pharmacology. 761. 1–10. 17 indexed citations
18.
Jiang, Shukun, Miao Zhang, Linlin Wang, et al.. (2015). The distribution and time-dependent expression of MAGL during skeletal muscle wound healing in rats.. PubMed. 30(10). 1243–54. 3 indexed citations
19.
Jiang, Shukun, Miao Zhang, Meng Wang, et al.. (2015). α7nAChR is expressed in satellite cells at different myogenic status during skeletal muscle wound healing in rats. Journal of Molecular Histology. 46(6). 499–509. 5 indexed citations
20.
Zhang, Miao, Shukun Jiang, Meng Wang, et al.. (2015). CB2R orchestrates fibrogenesis through regulation of inflammatory response during the repair of skeletal muscle contusion.. PubMed. 8(4). 3491–502. 13 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mennatallah A. Gowayed Breakdown of academic impact, for papers by Ki Ho Cho Breakdown of academic impact, for papers by Nina Yin Breakdown of academic impact, for papers by Vera Morsanuto Breakdown of academic impact, for papers by Eun-Hee Lee Breakdown of academic impact, for papers by Feti Tülübaş Breakdown of academic impact, for papers by Nazgol‐Sadat Haddadi Breakdown of academic impact, for papers by Abolfazl Abbaszadeh Breakdown of academic impact, for papers by Runxiao Lv Breakdown of academic impact, for papers by Eun‐Jeong Koh
Rankless by CCL
2026