Kai Shen

1.6k total citations
61 papers, 1.1k citations indexed

About

Kai Shen is a scholar working on Molecular Biology, Epidemiology and Hematology. According to data from OpenAlex, Kai Shen has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Epidemiology and 10 papers in Hematology. Recurrent topics in Kai Shen's work include Pneumonia and Respiratory Infections (7 papers), Antibiotic Resistance in Bacteria (7 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). Kai Shen is often cited by papers focused on Pneumonia and Respiratory Infections (7 papers), Antibiotic Resistance in Bacteria (7 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). Kai Shen collaborates with scholars based in China, United States and Germany. Kai Shen's co-authors include J. Christopher Post, Garth D. Ehrlich, Fen Hu, Paul Stoodley, Jay Hayes, Randy Keefe, Benjamin Janto, Karin Sauer, Fang Hu and N. Luisa Hiller and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kai Shen

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Shen China 19 480 372 239 112 98 61 1.1k
Amy Burrows United States 12 451 0.9× 339 0.9× 296 1.2× 119 1.1× 114 1.2× 22 1.3k
Janine Zahlten Germany 20 490 1.0× 287 0.8× 147 0.6× 75 0.7× 45 0.5× 32 1.2k
Nicole C. Kesty United States 12 637 1.3× 358 1.0× 693 2.9× 139 1.2× 142 1.4× 15 2.0k
Robert J. Danaher United States 19 259 0.5× 464 1.2× 150 0.6× 104 0.9× 30 0.3× 44 1.1k
Birgitt Gutbier Germany 20 514 1.1× 385 1.0× 129 0.5× 115 1.0× 57 0.6× 42 1.2k
Qun Wu United States 21 448 0.9× 262 0.7× 134 0.6× 72 0.6× 60 0.6× 47 1.4k
Praveen Thumbikat United States 22 345 0.7× 335 0.9× 134 0.6× 69 0.6× 183 1.9× 48 1.7k
Katrina Ray Denmark 16 608 1.3× 384 1.0× 48 0.2× 51 0.5× 172 1.8× 244 1.4k
Isabelle Rosinski‐Chupin France 22 446 0.9× 170 0.5× 61 0.3× 316 2.8× 33 0.3× 46 1.3k
Jennifer C. Chang United States 21 589 1.2× 424 1.1× 116 0.5× 466 4.2× 101 1.0× 34 1.5k

Countries citing papers authored by Kai Shen

Since Specialization
Citations

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

Fields of papers citing papers by Kai Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Shen. A scholar is included among the top collaborators of Kai Shen 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 Kai Shen. Kai Shen 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.
Luo, Weiguang, Xiuwei Li, Chenxi Zhang, et al.. (2025). Physicochemical characterization and protective effects of raw and nine-steamed Polygonatum cyrtonema polysaccharides on cyclophosphamide-induced immunosuppression in mice. International Journal of Biological Macromolecules. 307(Pt 2). 141911–141911. 3 indexed citations
2.
3.
Guo, Yuanyuan, et al.. (2025). MiR-147b-3p promotes osteogenesis by targeting NDUFA4 and PI3K/AKT pathway. Journal of Orthopaedic Surgery and Research. 20(1). 235–235. 1 indexed citations
4.
5.
Cai, Liangliang, Lixing Xu, Kai Shen, et al.. (2024). Sophorae tonkinensis radix polysaccharide attenuates acetaminophen-induced liver injury by regulating the miR-140-5p-related antioxidant mechanism. Journal of Traditional and Complementary Medicine. 14(4). 467–476. 2 indexed citations
6.
Qin, Yao, Kai Shen, Ting Liu, & Hongbing Ma. (2023). Prognostic value of IDH2R140 and IDH2R172 mutations in patients with acute myeloid leukemia: a systematic review and meta-analysis. BMC Cancer. 23(1). 527–527. 3 indexed citations
7.
Shen, Kai, et al.. (2023). The Mechanism of Plantaginis Semen in the Treatment of DiabeticNephropathy based on Network Pharmacology and Molecular DockingTechnology. Endocrine Metabolic & Immune Disorders - Drug Targets. 24(3). 363–379. 5 indexed citations
8.
Qian, Changrui, Xinyi Zhu, Junwan Lu, et al.. (2020). Characterization of an IncR Plasmid with Two Copies of ISCR-Linked qnrB6 from ST968 Klebsiella pneumoniae. International Journal of Genomics. 2020. 1–8. 11 indexed citations
9.
Shen, Kai, Ting Liu, & Jie Ji. (2019). Cerebral toxoplasmosis after allogeneic hematopoietic stem cell transplantation diagnosed by megagenomic analysis. Chinese Medical Journal. 132(5). 609–610.
10.
Zhou, Wangxiao, Changrui Qian, Kai Shen, et al.. (2019). OXA-830, a Novel Chromosomally Encoded Extended-Spectrum Class D β-Lactamase in Aeromonas simiae. Frontiers in Microbiology. 10. 2732–2732. 18 indexed citations
11.
Wang, Jianwen, Teng Xu, Jun Ying, et al.. (2019). <p>PAU-1, a Novel Plasmid-Encoded Ambler Class A β-Lactamase Identified in a Clinical <em>Pseudomonas aeruginosa</em> Isolate</p>. Infection and Drug Resistance. Volume 12. 3827–3834. 5 indexed citations
12.
Shen, Kai, et al.. (2017). Aseptic meningitis in relapsing polychondritis: a case report and literature review. Clinical Rheumatology. 37(1). 251–255. 6 indexed citations
13.
Huang, Yanyan, Dongdong Chen, Jianying He, et al.. (2014). Hcmv-miR-UL112 attenuates NK cell activity by inhibition type I interferon secretion. Immunology Letters. 163(2). 151–156. 28 indexed citations
14.
Zhang, Jia, Kai Shen, Pingjin Gao, et al.. (2014). Adventitial gene transfer of catalase attenuates angiotensin II-induced vascular remodeling. Molecular Medicine Reports. 11(4). 2608–2614. 14 indexed citations
15.
16.
Eutsey, Rory, N. Luisa Hiller, Joshua P. Earl, et al.. (2013). Design and validation of a supragenome array for determination of the genomic content of Haemophilus influenzae isolates. BMC Genomics. 14(1). 484–484. 14 indexed citations
17.
Yang, Weiwei, Jia Zhang, Wang Hai-ya, et al.. (2011). Angiotensin II downregulates catalase expression and activity in vascular adventitial fibroblasts through an AT1R/ERK1/2-dependent pathway. Molecular and Cellular Biochemistry. 358(1-2). 21–29. 19 indexed citations
18.
Guo, Dongning, Jun Luo, Lei Zhang, & Kai Shen. (2010). Compressed Neighbor Discovery for Wireless Networks. arXiv (Cornell University). 14 indexed citations
19.
Forbes, Michael L., Edward Horsey, N. Luisa Hiller, et al.. (2008). Strain-Specific Virulence Phenotypes of Streptococcus pneumoniae Assessed Using the Chinchilla laniger Model of Otitis Media. PLoS ONE. 3(4). e1969–e1969. 34 indexed citations
20.
Ehrlich, Garth D., Fen Hu, Kai Shen, Paul Stoodley, & J. Christopher Post. (2005). Bacterial Plurality as a General Mechanism Driving Persistence in Chronic Infections. Clinical Orthopaedics and Related Research. &NA;(437). 20–24. 108 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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