Xiaoping Yin

2.0k total citations · 1 hit paper
48 papers, 1.4k citations indexed

About

Xiaoping Yin is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Xiaoping Yin has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 17 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Xiaoping Yin's work include Intracerebral and Subarachnoid Hemorrhage Research (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). Xiaoping Yin is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). Xiaoping Yin collaborates with scholars based in China, United States and Hong Kong. Xiaoping Yin's co-authors include David L. Wood, I‐Chan Huang, Katryne Lukens-Bull, William C. Livingood, Gregory S. Sawicki, John Reiss, Dan Liu, Moxin Wu, Zhiying Chen and Ling‐Qiang Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Biological Psychiatry.

In The Last Decade

Xiaoping Yin

48 papers receiving 1.4k citations

Hit Papers

Measuring the Transition Readiness of Youth with Special ... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Yin China 18 406 380 343 208 179 48 1.4k
Krzysztof Gil Poland 25 34 0.1× 273 0.7× 277 0.8× 67 0.3× 336 1.9× 131 2.0k
Qingyu Shen China 19 53 0.1× 1.0k 2.7× 76 0.2× 163 0.8× 382 2.1× 54 2.2k
Stefan Johansson Norway 35 32 0.1× 1.4k 3.6× 219 0.6× 85 0.4× 254 1.4× 111 4.0k
Yára Dadalti Fragoso Brazil 25 32 0.1× 270 0.7× 83 0.2× 338 1.6× 194 1.1× 166 2.1k
Carla Marinelli Italy 19 36 0.1× 386 1.0× 59 0.2× 53 0.3× 154 0.9× 29 1.2k
Tomofumi Miura Japan 20 56 0.1× 337 0.9× 128 0.4× 29 0.1× 254 1.4× 83 1.4k
F B Gibberd United Kingdom 24 30 0.1× 487 1.3× 287 0.8× 313 1.5× 145 0.8× 77 1.6k
Shyamal Kumar Das India 20 32 0.1× 244 0.6× 107 0.3× 342 1.6× 111 0.6× 52 1.4k
John Beard United States 22 17 0.0× 349 0.9× 529 1.5× 165 0.8× 266 1.5× 35 2.9k
Lindsay M. Reynolds United States 20 22 0.1× 667 1.8× 60 0.2× 165 0.8× 451 2.5× 36 1.7k

Countries citing papers authored by Xiaoping Yin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Yin. A scholar is included among the top collaborators of Xiaoping Yin 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 Xiaoping Yin. Xiaoping Yin 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.
Yu, Tao, et al.. (2025). Blood–Brain Barrier (BBB) Dysfunction in CNS Diseases: Paying Attention to Pericytes. CNS Neuroscience & Therapeutics. 31(5). e70422–e70422. 4 indexed citations
2.
Li, Chuan, Min Jiang, Zhiying Chen, et al.. (2024). The neuroprotective effects of normobaric oxygen therapy after stroke. CNS Neuroscience & Therapeutics. 30(7). e14858–e14858. 5 indexed citations
3.
Li, Chuan, Min Jiang, Zhiying Chen, et al.. (2024). Current evidence of synaptic dysfunction after stroke: Cellular and molecular mechanisms. CNS Neuroscience & Therapeutics. 30(5). e14744–e14744. 12 indexed citations
4.
Mei, Jiaqi, Yi Li, Qi Cai, et al.. (2024). SGLT2 inhibitors: a novel therapy for cognitive impairment via multifaceted effects on the nervous system. Translational Neurodegeneration. 13(1). 41–41. 35 indexed citations
5.
Tong, Bin, Zhengyang Li, Deju Zhang, et al.. (2024). Targeting dysregulated lipid metabolism for the treatment of Alzheimer's disease and Parkinson's disease: Current advancements and future prospects. Neurobiology of Disease. 196. 106505–106505. 37 indexed citations
6.
Li, Lihong, et al.. (2024). Progress in the regulatory mechanism of mitophagy in chronic cerebral ischemic neuronal injury. Experimental Neurology. 383. 115003–115003. 2 indexed citations
7.
Yang, Hui, et al.. (2024). Modulating the blood-brain barrier in CNS disorders: A review of the therapeutic implications of secreted protein acidic and rich in cysteine (SPARC). International Journal of Biological Macromolecules. 288. 138747–138747. 3 indexed citations
8.
Huang, Qinghua, et al.. (2023). Mechanisms and therapeutic targets of mitophagy after intracerebral hemorrhage. Heliyon. 10(1). e23941–e23941. 5 indexed citations
9.
Wu, Moxin, Zhiying Chen, Min Jiang, et al.. (2023). Friend or foe: role of pathological tau in neuronal death. Molecular Psychiatry. 28(6). 2215–2227. 19 indexed citations
10.
Wu, Moxin, et al.. (2023). Research progress of mitophagy in chronic cerebral ischemia. Frontiers in Aging Neuroscience. 15. 1224633–1224633. 5 indexed citations
12.
Bao, Wen, Xiaoting Zhou, Lanting Zhou, et al.. (2020). Targeting miR‐124/Ferroportin signaling ameliorated neuronal cell death through inhibiting apoptosis and ferroptosis in aged intracerebral hemorrhage murine model. Aging Cell. 19(11). e13235–e13235. 136 indexed citations
13.
Yin, Xiaoping, et al.. (2019). Bartonella rochalimae, B. grahamii, B. elizabethae, and Wolbachia spp. in Fleas from Wild Rodents near the China-Kazakhstan Border. Korean Journal of Parasitology. 57(5). 553–559. 10 indexed citations
14.
Chen, Jin, et al.. (2018). The flavonoid kurarinone inhibits clinical progression of EAE through inhibiting Th1 and Th17 cell differentiation and proliferation. International Immunopharmacology. 62. 227–236. 30 indexed citations
15.
Zhang, Junyu, Ye He, Han‐Qing Pan, et al.. (2018). Chronic Stress Remodels Synapses in an Amygdala Circuit–Specific Manner. Biological Psychiatry. 85(3). 189–201. 127 indexed citations
16.
Zhang, Wenhua, Xuehui Wang, Junyu Zhang, et al.. (2017). Acute stress enhances the glutamatergic transmission onto basoamygdala neurons embedded in distinct microcircuits. Molecular Brain. 10(1). 3–3. 15 indexed citations
17.
Chen, Zhiying, et al.. (2015). Mechanisms underlying the perifocal neuroprotective effect of the Nrf2–ARE signaling pathway after intracranial hemorrhage. Drug Design Development and Therapy. 9. 5973–5973. 26 indexed citations
18.
Huang, Shiguang, et al.. (2014). Quantification of tryptase-TIM-3 double-positive mast cells in human chronic periodontitis. Archives of Oral Biology. 59(6). 654–661. 18 indexed citations
19.
Tang, Zhouping, et al.. (2011). Modifying the details of aspiration operation may contribute to the improvement of prognosis of patients with ICH. Turkish Neurosurgery. 22(1). 13–20. 12 indexed citations
20.
Ye, Gang, et al.. (2010). The life cycle and human blood sucking observation of Xenopsylla skrjabini.. 17(4). 228–231. 1 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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