Shanglong Kou

568 total citations
10 papers, 406 citations indexed

About

Shanglong Kou is a scholar working on Infectious Diseases, Surgery and Molecular Biology. According to data from OpenAlex, Shanglong Kou has authored 10 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Shanglong Kou's work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Pluripotent Stem Cells Research (2 papers). Shanglong Kou is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Pluripotent Stem Cells Research (2 papers). Shanglong Kou collaborates with scholars based in China, Hong Kong and Norway. Shanglong Kou's co-authors include Yanhua Liang, Lei Liu, Yanchao Pan, Jing Yuan, Xiaohe Li, Yingxia Liu, Zhaoqin Wang, Xiaoyan Ding, Lijiao Zeng and Guoyu Tan and has published in prestigious journals such as Clinical Infectious Diseases, Anesthesiology and Journal of Pharmaceutical Sciences.

In The Last Decade

Shanglong Kou

10 papers receiving 396 citations

Peers

Shanglong Kou

ID

NEURO

EPIDE

MB

SURGE

Tianyuan Wang China

Guangzhen He China

Hui Zhai China

Sergiy G. Gychka Ukraine

Roozbeh Tarighati Rasekhi United States

Yuyou Zhu China

Noely Evangelista Ferreira Brazil

Limor Rubin Israel

Vu L. Tran United States

Tianyuan Wang China

Shanglong Kou

279 ×1.1

ID

176 ×1.6

NEURO

40 ×0.6

EPIDE

84 ×1.2

MB

15 ×0.5

SURGE

Citations per year, relative to Shanglong Kou Shanglong Kou (= 1×) peers Tianyuan Wang

Countries citing papers authored by Shanglong Kou

Since Specialization

Citations

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

Fields of papers citing papers by Shanglong Kou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanglong Kou

This figure shows the co-authorship network connecting the top 25 collaborators of Shanglong Kou. A scholar is included among the top collaborators of Shanglong Kou 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 Shanglong Kou. Shanglong Kou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Zhang, Qingzhen, Shanglong Kou, Yuqing Ye, et al.. (2023). Ternary Dry Powder Agglomerate Inhalation Formulation of Melatonin With Air Jet Mixing to Improve In Vitro And In Vivo Performance. Journal of Pharmaceutical Sciences. 113(2). 434–444. 2 indexed citations

2.

Yuan, Jing, Shanglong Kou, Yanhua Liang, et al.. (2020). <p>Immunological Evaluation on Potential Treatment Window for Hospitalized COVID-19 Patients</p>. Journal of Inflammation Research. Volume 13. 985–993. 4 indexed citations

3.

Yuan, Jing, Lijiao Zeng, Shanglong Kou, et al.. (2020). The correlation between viral clearance and biochemical outcomes of 94 COVID-19 infected discharged patients. Inflammation Research. 69(6). 599–606. 163 indexed citations

4.

Yuan, Jing, et al.. (2020). Polymerase Chain Reaction Assays Reverted to Positive in 25 Discharged Patients With COVID-19. Clinical Infectious Diseases. 71(16). 2230–2232. 108 indexed citations

5.

Ho, Idy H. T., Xiaodong Liu, Wei Hu, et al.. (2019). A Novel Peptide Interfering with proBDNF-Sortilin Interaction Alleviates Chronic Inflammatory Pain. Theranostics. 9(6). 1651–1665. 17 indexed citations

6.

Chen, Xiaoting, Hung Chan, Lin Zhang, et al.. (2019). The phytochemical polydatin ameliorates non‐alcoholic steatohepatitis by restoring lysosomal function and autophagic flux. Journal of Cellular and Molecular Medicine. 23(6). 4290–4300. 54 indexed citations

7.

Tian, Yuanyuan, Xiaodong Liu, Hui Yu, et al.. (2017). Targeted Genotyping Identifies Susceptibility Locus in Brain-derived Neurotrophic Factor Gene for Chronic Postsurgical Pain. Anesthesiology. 128(3). 587–597. 32 indexed citations

8.

Guo, Dongsheng, Hai‐Kun Liu, Ge Gao, et al.. (2016). Generation of non-integrated induced pluripotent stem cells from a 59-year-old female with multiple endocrine neoplasia type 1 syndrome. Stem Cell Research. 18. 64–66. 11 indexed citations

9.

Guo, Dongsheng, Hai‐Kun Liu, Ge Gao, et al.. (2016). Generation of non-integrated induced pluripotent stem cells from a 23-year-old male with multiple endocrine neoplasia type 1 syndrome. Stem Cell Research. 18. 70–72. 8 indexed citations

10.

Sun, Li, Shanglong Kou, Shenghua Wang, et al.. (2011). Cloning and Characterization of a cDNA Encoding Type 1 Diacylglycerol Acyltransferase from Sunflower (Helianthus annuus L.). Zeitschrift für Naturforschung C. 66(1-2). 63–72. 7 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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