Ke Shang

8.9k total citations · 3 hit papers
95 papers, 5.8k citations indexed

About

Ke Shang is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Ke Shang has authored 95 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Neurology and 17 papers in Epidemiology. Recurrent topics in Ke Shang's work include Salmonella and Campylobacter epidemiology (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Antibiotic Resistance in Bacteria (9 papers). Ke Shang is often cited by papers focused on Salmonella and Campylobacter epidemiology (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Antibiotic Resistance in Bacteria (9 papers). Ke Shang collaborates with scholars based in China, South Korea and United States. Ke Shang's co-authors include Chuan Qin, Dai‐Shi Tian, Luo‐Qi Zhou, Sheng Yang, Wei Wang, Shuoqi Zhang, Ziwei Hu, Ke Ma, Cuihong Xie and Tao Yu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Ke Shang

85 papers receiving 5.7k citations

Hit Papers

Dysregulation of Immune Response in Patients With Coronav... 2020 2026 2022 2024 2020 2020 2020 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Shang China 22 3.5k 2.1k 826 777 741 95 5.8k
Xiong Wang China 29 3.5k 1.0× 1.9k 0.9× 1.2k 1.5× 1.3k 1.7× 300 0.4× 140 6.5k
Qin Ning China 40 3.3k 0.9× 1.8k 0.9× 732 0.9× 1.5k 2.0× 1.6k 2.1× 209 8.7k
Xiaoyun Zhang China 16 2.6k 0.7× 1.5k 0.7× 430 0.5× 935 1.2× 428 0.6× 69 4.3k
Tao Guo China 32 2.3k 0.6× 2.0k 1.0× 836 1.0× 1.4k 1.8× 224 0.3× 213 6.2k
Chek Meng Poh Singapore 12 2.1k 0.6× 926 0.4× 361 0.4× 573 0.7× 712 1.0× 17 3.6k
Christine Wohlford-Lenane United States 32 3.0k 0.9× 1.1k 0.5× 236 0.3× 1.2k 1.6× 926 1.2× 57 6.1k
Jie Yang China 28 1.5k 0.4× 778 0.4× 684 0.8× 1.5k 1.9× 284 0.4× 164 4.8k
Milena Sokołowska Switzerland 35 1.7k 0.5× 718 0.3× 337 0.4× 1.1k 1.4× 1.1k 1.4× 78 5.5k
Matthew Zirui Tay Singapore 10 2.1k 0.6× 937 0.5× 299 0.4× 759 1.0× 588 0.8× 17 3.7k

Countries citing papers authored by Ke Shang

Since Specialization
Citations

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

Fields of papers citing papers by Ke Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Shang. A scholar is included among the top collaborators of Ke Shang 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 Ke Shang. Ke Shang 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
2.
Zhu, Lifang, Luyang Zhang, Yun‐Hui Chu, et al.. (2024). Causal association between the peripheral immunity and the risk and disease severity of multiple sclerosis. Frontiers in Immunology. 15. 1325938–1325938. 1 indexed citations
3.
Yu, Zuhua, et al.. (2024). Molecular Characterization of Feline Parvovirus from Domestic Cats in Henan Province, China from 2020 to 2022. Veterinary Sciences. 11(7). 292–292. 2 indexed citations
4.
Tang, Mengmeng, Chengshui Liao, Zuhua Yu, et al.. (2024). Whole genome analysis, detoxification of ochratoxin a and physiological characterization of a novel Bacillus velezensis MM35 isolated from soil. Frontiers in Microbiology. 15. 1497860–1497860.
6.
Guo, Rongxian, Xin Fang, Ke Shang, Jiachen Wen, & Ke Ding. (2024). Induction of ferroptosis: A new strategy for the control of bacterial infections. Microbiological Research. 284. 127728–127728. 18 indexed citations
7.
Tian, Dai‐Shi, Chuan Qin, Ming‐Hao Dong, et al.. (2024). B cell lineage reconstitution underlies CAR-T cell therapeutic efficacy in patients with refractory myasthenia gravis. EMBO Molecular Medicine. 16(4). 966–987. 30 indexed citations
8.
Park, Jong-Yeol, Ke Shang, Junfeng Zhang, et al.. (2024). Genetic Characterization of Avian Paramyxovirus Isolated from Wild Waterfowl in Korea between 2015 and 2021. Animals. 14(5). 780–780.
9.
Qin, Chuan, Ming‐Hao Dong, Luo‐Qi Zhou, et al.. (2024). Single-cell analysis of refractory anti-SRP necrotizing myopathy treated with anti-BCMA CAR-T cell therapy. Proceedings of the National Academy of Sciences. 121(6). e2315990121–e2315990121. 42 indexed citations
10.
Hu, Wei‐Syun, Ke Shang, Liqin Chen, Xin Wang, & Xia Li. (2024). Comparison and combined use of NEWS2 and GCS scores in predicting mortality in stroke and traumatic brain injury: a multicenter retrospective study. Frontiers in Neurology. 15. 1435809–1435809.
11.
You, Yun‐Fan, Ming‐Hao Dong, Xiao‐Wei Pang, et al.. (2024). Systematic Druggable Genome‐Wide Mendelian Randomization Identifies Therapeutic Targets for Functional Outcome After Ischemic Stroke. Journal of the American Heart Association. 13(16). e034749–e034749. 2 indexed citations
12.
Jia, Yanyan, Chengshui Liao, Lei He, et al.. (2023). A Bacillus subtilis Strain ZJ20 with AFB1 Detoxification Ability: A Comprehensive Analysis. Biology. 12(9). 1195–1195. 8 indexed citations
14.
Liu, Xu, Xuyuan Liu, Xinqi Wang, et al.. (2023). Multi-omics analysis reveals changes in tryptophan and cholesterol metabolism before and after sexual maturation in captive macaques. BMC Genomics. 24(1). 308–308. 3 indexed citations
15.
Qin, Chuan, Dai‐Shi Tian, Luo‐Qi Zhou, et al.. (2023). Anti-BCMA CAR T-cell therapy CT103A in relapsed or refractory AQP4-IgG seropositive neuromyelitis optica spectrum disorders: phase 1 trial interim results. Signal Transduction and Targeted Therapy. 8(1). 5–5. 93 indexed citations
16.
Xiao, Jun, Shuoqi Zhang, Xin Chen, et al.. (2022). Comparison of clinical and radiological characteristics in autoimmune GFAP astrocytopathy, MOGAD and AQP4-IgG+ NMOSD mimicking intracranial infection as the initial manifestation. Multiple Sclerosis and Related Disorders. 66. 104057–104057. 7 indexed citations
17.
Jin, Xian, Rong Zhou, Yanan Wang, et al.. (2022). Deep learning approach identified a gene signature predictive of the severity of renal damage caused by chronic cadmium accumulation. Journal of Hazardous Materials. 433. 128795–128795. 10 indexed citations
18.
Zhang, Shuoqi, Man Chen, Luo‐Qi Zhou, et al.. (2021). Sphingosine-1-Phosphate Signaling in Ischemic Stroke: From Bench to Bedside and Beyond. Frontiers in Cellular Neuroscience. 15. 781098–781098. 11 indexed citations
19.
Amna, Touseef, Abdullah A. A. Alghamdi, Ke Shang, & M. Shamshi Hassan. (2021). Nigella Sativa-Coated Hydroxyapatite Scaffolds: Synergetic Cues to Stimulate Myoblasts Differentiation and Offset Infections. Tissue Engineering and Regenerative Medicine. 18(5). 787–795. 12 indexed citations
20.
Shang, Ke, et al.. (2020). Hypertrophic Pachymeningitis in Chinese Patients: Presentation, Radiological Findings, and Clinical Course. BioMed Research International. 2020(1). 2926419–2926419. 9 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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