Yana Pang

687 total citations
17 papers, 472 citations indexed

About

Yana Pang is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Yana Pang has authored 17 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Neurology. Recurrent topics in Yana Pang's work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Extracellular vesicles in disease (4 papers). Yana Pang is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Extracellular vesicles in disease (4 papers). Yana Pang collaborates with scholars based in China, United States and Saudi Arabia. Yana Pang's co-authors include Longfei Jia, Yiping Wei, Qigeng Wang, Fangyu Li, Min Zhu, Qi Wang, Cuibai Wei, Jianping Jia, Yan Li and Chaojun Kong and has published in prestigious journals such as Nature Communications, Brain and Biological Psychiatry.

In The Last Decade

Yana Pang

16 papers receiving 468 citations

Peers

Yana Pang
Qiongqiong Qiu China
Qigeng Wang China
Nipun Chopra United States
Mei-Chen Liao United States
Yunqing Ma China
Marianna D’Anca Italy
Min Fan China
Xingyun Liu China
Bianca A. Trombetta United States
Helga Eyjolfsdottir Sweden
Qiongqiong Qiu China
Yana Pang
Citations per year, relative to Yana Pang Yana Pang (= 1×) peers Qiongqiong Qiu

Countries citing papers authored by Yana Pang

Since Specialization
Citations

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

Fields of papers citing papers by Yana Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yana Pang

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

All Works

17 of 17 papers shown
1.
Zhao, Jinfeng, et al.. (2025). Epigenetic Modifications in Alternative Splicing of LDLR pre-mRNA on Hypercholesterolemia Following Aerobic Exercise Training. International Journal of Molecular Sciences. 26(9). 4262–4262.
2.
Qin, Wei, et al.. (2024). Alzheimer’s disease and immunotherapy. 3(1). 3 indexed citations
3.
Cai, Huimin, et al.. (2024). Systemic inflammatory markers in ageing, Alzheimer's disease and other dementias. Brain. 148(2). 480–492. 9 indexed citations
4.
5.
Li, Wen, Yana Pang, Yan Wang, et al.. (2023). Aberrant palmitoylation caused by a ZDHHC21 mutation contributes to pathophysiology of Alzheimer’s disease. BMC Medicine. 21(1). 223–223. 22 indexed citations
6.
7.
Chu, Changbiao, et al.. (2023). A blood mRNA panel that differentiates Alzheimer’s disease from other dementia types. Journal of Neurology. 270(4). 2117–2127. 1 indexed citations
8.
Pang, Yana, et al.. (2023). Plasma biomarkers predict Alzheimer’s disease before clinical onset in Chinese cohorts. Nature Communications. 14(1). 6747–6747. 49 indexed citations
9.
Chu, Changbiao, et al.. (2022). A Group of Long Non-coding RNAs in Blood Acts as a Specific Biomarker of Alzheimer’s Disease. Molecular Neurobiology. 60(2). 566–575. 5 indexed citations
10.
Chu, Changbiao, et al.. (2022). A circular RNA blood panel that differentiates Alzheimer’s disease from other dementia types. Biomarker Research. 10(1). 63–63. 14 indexed citations
11.
Jia, Longfei, Min Zhu, Jianwei Yang, et al.. (2022). Exosomal MicroRNA-Based Predictive Model for Preclinical Alzheimer’s Disease: A Multicenter Study. Biological Psychiatry. 92(1). 44–53. 19 indexed citations
12.
Cai, Huimin, Yana Pang, Qi Wang, et al.. (2022). Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease. Alzheimer s Research & Therapy. 14(1). 181–181. 54 indexed citations
13.
Jia, Longfei, Min Zhu, Jianwei Yang, et al.. (2021). Prediction of P-tau/Aβ42 in the cerebrospinal fluid with blood microRNAs in Alzheimer’s disease. BMC Medicine. 19(1). 264–264. 22 indexed citations
14.
Pang, Yana, Tingting Li, Qi Wang, et al.. (2021). A Rare Variation in the 3’ Untranslated Region of the Presenilin 2 Gene Is Linked to Alzheimer’s Disease. Molecular Neurobiology. 58(9). 4337–4347. 8 indexed citations
15.
Jia, Longfei, Jianwei Yang, Min Zhu, et al.. (2021). A metabolite panel that differentiates Alzheimer's disease from other dementia types. Alzheimer s & Dementia. 18(7). 1345–1356. 34 indexed citations
16.
Li, Wenwen, Shiyuan Wang, Heng Zhang, et al.. (2021). Honokiol Restores Microglial Phagocytosis by Reversing Metabolic Reprogramming. Journal of Alzheimer s Disease. 82(4). 1475–1485. 23 indexed citations
17.
Jia, Longfei, Min Zhu, Chaojun Kong, et al.. (2020). Blood neuro‐exosomal synaptic proteins predict Alzheimer's disease at the asymptomatic stage. Alzheimer s & Dementia. 17(1). 49–60. 178 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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