Fu‐Dong Shi

17.3k total citations · 2 hit papers
311 papers, 12.5k citations indexed

About

Fu‐Dong Shi is a scholar working on Neurology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Fu‐Dong Shi has authored 311 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Neurology, 106 papers in Immunology and 80 papers in Pathology and Forensic Medicine. Recurrent topics in Fu‐Dong Shi's work include Multiple Sclerosis Research Studies (75 papers), Neuroinflammation and Neurodegeneration Mechanisms (61 papers) and Peripheral Neuropathies and Disorders (56 papers). Fu‐Dong Shi is often cited by papers focused on Multiple Sclerosis Research Studies (75 papers), Neuroinflammation and Neurodegeneration Mechanisms (61 papers) and Peripheral Neuropathies and Disorders (56 papers). Fu‐Dong Shi collaborates with scholars based in China, United States and Sweden. Fu‐Dong Shi's co-authors include Qiang Liu, Antonio La Cava, Kaibin Shi, Hans‐Gustaf Ljunggren, Luc Van Kaer, Junwei Hao, De‐Cai Tian, Zhiguo Li, Ruolan Liu and Ying Fu and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Fu‐Dong Shi

292 papers receiving 12.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global brain inflammation in stroke

2019 656 citations Kaibin Shi, De‐Cai Tian et al. profile →
Neuroinflammation across neurological diseases

2025 23 citations Fu‐Dong Shi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fu‐Dong Shi China	64	4.5k	3.6k	3.0k	3.0k	1.9k	311	12.5k
Jan Bauer Austria	68	4.1k 0.9×	3.7k 1.0×	2.5k 0.9×	3.4k 1.2×	4.1k 2.1×	221	14.5k
Sven G. Meuth Germany	59	2.7k 0.6×	2.6k 0.7×	2.2k 0.8×	4.1k 1.4×	3.1k 1.6×	561	14.0k
Christoph Kleinschnitz Germany	62	2.3k 0.5×	3.6k 1.0×	2.0k 0.7×	3.4k 1.2×	1.2k 0.7×	440	13.8k
Frauke Zipp Germany	62	3.6k 0.8×	3.3k 0.9×	2.1k 0.7×	3.2k 1.1×	4.7k 2.5×	308	13.6k
Guido Stoll Germany	69	2.9k 0.6×	4.7k 1.3×	2.6k 0.9×	3.7k 1.2×	948 0.5×	258	15.9k
Sandra Amor Netherlands	61	3.9k 0.9×	4.3k 1.2×	1.4k 0.5×	3.6k 1.2×	3.1k 1.6×	198	12.4k
Alexandre Prat Canada	61	5.1k 1.1×	5.9k 1.6×	1.8k 0.6×	4.6k 1.6×	3.7k 1.9×	209	16.2k
William F. Hickey United States	62	4.9k 1.1×	4.7k 1.3×	1.5k 0.5×	3.8k 1.3×	1.8k 1.0×	190	15.6k
Martin Stangel Germany	50	1.9k 0.4×	2.5k 0.7×	1.7k 0.6×	2.3k 0.8×	2.8k 1.5×	283	9.1k
Christine Stadelmann Germany	69	3.8k 0.8×	4.8k 1.4×	3.0k 1.0×	4.5k 1.5×	6.7k 3.5×	229	17.3k

Countries citing papers authored by Fu‐Dong Shi

Since Specialization

Citations

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

Fields of papers citing papers by Fu‐Dong Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu‐Dong Shi. 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 Fu‐Dong Shi. The network helps show where Fu‐Dong Shi may publish in the future.

Co-authorship network of co-authors of Fu‐Dong Shi

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

All Works

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20 of 20 papers shown

Bai, Yunmeng, Bingtian Xu, Haixia Wen, et al.. (2025). TDP43 augments astrocyte inflammatory activity through mtDNA-cGAS-STING axis in NMOSD. Journal of Neuroinflammation. 22(1). 14–14. 4 indexed citations

Zhuo, Zhizheng, De‐Cai Tian, Yutong Bai, et al.. (2025). Periventricular gradient of normal-appearing white matter in normal aging and multiple neurological diseases. Journal of Advanced Research.

Yang, Mo, Xiangrong Liu, Chaoyu Wang, et al.. (2025). Intracalvariosseous injection: an approach for central nervous system drug delivery through skull bone marrow with a preclinical research in stroke. EBioMedicine. 112. 105568–105568. 4 indexed citations

Yang, Shuxin, et al.. (2025). Predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer with two step feature selection and ensemble learning. Scientific Reports. 15(1). 9936–9936. 1 indexed citations

Gao, Bin, Kaibin Shi, Shunnan Ge, et al.. (2024). Multicentre prospective, randomised open-label, endpoint-blinded study to evaluate the safety and efficacy of propranolol for the prevention of stroke-associated pneumonia in patients with intracerebral haemorrhage (PROCHASE): rationale and design. Stroke and Vascular Neurology. 10(4). 520–525. 1 indexed citations

Wu, Siting, Yulin Li, Xue Zhao, Fu‐Dong Shi, & Jingshan Chen. (2024). Multiplex proteomics identifies inflammation-related plasma biomarkers for aging and cardio-metabolic disorders. Clinical Proteomics. 21(1). 30–30. 3 indexed citations

Guo, Ai, Zhe Zhang, Lei Su, et al.. (2024). Cortical Microhemorrhage Presentation of Small Vessel Primary Angiitis of the Central Nervous System. Annals of Neurology. 96(1). 194–203. 2 indexed citations

Liu, Yang, Xinying Huang, Si Cheng, et al.. (2024). Potential Protein Signatures for Recurrence Prediction of Ischemic Stroke. Journal of the American Heart Association. 13(5). e032840–e032840. 2 indexed citations

Li, Yongmei, Zhizheng Zhuo, Min Guo, et al.. (2024). Imaging Transcriptomics of Brain Functional Alterations in MS and Neuromyelitis Optica Spectrum Disorder. American Journal of Neuroradiology. 45(12). 1901–1909. 2 indexed citations

10.

Chen, Zhili, Yan Li, Ningning Wang, et al.. (2023). Group 2 innate lymphoid cells resolve neuroinflammation following cerebral ischaemia. Stroke and Vascular Neurology. 8(5). 424–434. 14 indexed citations

11.

Li, Yulin, et al.. (2023). Microglia-derived CCL20 deteriorates neurogenesis following intraventricular hemorrhage. Experimental Neurology. 370. 114561–114561. 5 indexed citations

12.

Wang, Yongjun, S. Claiborne Johnston, Graeme J. Hankey, et al.. (2023). Colchicine in High-risk Patients with Acute Minor-to-moderate Ischemic Stroke or Transient Ischemic Attack (CHANCE-3): Rationale and design of a multicenter randomized placebo-controlled trial. International Journal of Stroke. 18(7). 873–878. 8 indexed citations

13.

Shi, Fu‐Dong, et al.. (2022). Efficacy and Safety of Remimazolam Tosilate versus Propofol for General Anesthesia in Cirrhotic Patients Undergoing Endoscopic Variceal Ligation. SHILAP Revista de lepidopterología. 54 indexed citations

14.

Wang, Yuge, Xiaonan Zhong, Honghao Wang, et al.. (2022). Batoclimab as an add‐on therapy in neuromyelitis optica spectrum disorder patients with acute attacks. European Journal of Neurology. 30(1). 195–203. 13 indexed citations

15.

Zhang, X., Zhiqiang Chen, R. Han, et al.. (2021). Benchmarking GEANT4 and PHITS for 14.8-MeV neutron transport in polyethylene and graphite materials. Fusion Engineering and Design. 170. 112720–112720. 2 indexed citations

16.

Shi, Fu‐Dong, et al.. (2017). Study on nutrition fresh noodles formulated with pomelo peel and peach gum.. Shipin yu fajiao gongye. 43(1). 156–162. 4 indexed citations

17.

Hao, Junwei, Ruolan Liu, Wenhua Piao, et al.. (2010). Central nervous system (CNS)–resident natural killer cells suppress Th17 responses and CNS autoimmune pathology. The Journal of Experimental Medicine. 207(9). 1907–1921. 179 indexed citations

18.

Shi, Fu‐Dong. (2007). Resting Metabolic Rate and Body Mass Change of Silurus meridionalis to Exhaustive Exercise Training and Fasting. Dongwuxue zazhi. 1 indexed citations

19.

Shi, Fu‐Dong. (2005). EFFECT OF DIETARY CARBOHYDRATE LEVELS ON GROWTH PERFORMANCE IN SILURUS MERIDIONALIS CHEN. Acta Hydrobiologica Sinica. 6 indexed citations

20.

Shi, Fu‐Dong, Malin Flodström‐Tullberg, Balaji Balasa, et al.. (2001). Germ line deletion of the CD1 locus exacerbates diabetes in the NOD mouse. Proceedings of the National Academy of Sciences. 98(12). 6777–6782. 145 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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