Weiming Xia
- Physiology top 0.1%
- Alzheimer's disease research and treatments 104
- Developmental Neuroscience top 0.5%
- Pharmacology top 0.2%
- Cholinesterase and Neurodegenerative Diseases 27
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 12
- Cellular and Molecular Neuroscience top 0.5%
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- Dementia and Cognitive Impairment Research 16
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- Computational Drug Discovery Methods 14
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- Prion Diseases and Protein Misfolding 13
- S100 Proteins and Annexins 10
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- Cellular transport and secretion 12
- Co-authors
- Dennis J. SelkoeMichael S. WolfeBeth L. OstaszewskiW. Taylor KimberlyThekla S. DiehlEdward H. KooJie ShenDongfeng Chen
- Journals
- Journal of Alzheimer s Disease (14 papers)Journal of Biological Chemistry (9 papers)Alzheimer s & Dementia (9 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Weiming Xia
160 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Physiology 7.0k
- Developmental Neuroscience 794
- Pharmacology 2.1k
- Neurology 975
- Cellular and Molecular Neuroscience 2.1k
Countries citing papers authored by Weiming Xia
This map shows the geographic impact of Weiming Xia'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 Weiming Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiming Xia more than expected).
Fields of papers citing papers by Weiming Xia
This network shows the impact of papers produced by Weiming Xia. 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 Weiming Xia. The network helps show where Weiming Xia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weiming Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 30 | |
| 13 | 2020 | 50 | |
| 14 | 2020 | 19 | |
| 15 | 2019 | 14 | |
| 16 | Kongenitale Hypofibrinogenämie in Verbindung mit γK232T: in vitro-Expression zeigt mangelhafte Sekretion der Fibrinogen-Variante | 2018 | 1 |
| 17 | 2009 | 228 | |
| 18 | 2008 | 16 | |
| 19 | 2007 | 187 | |
| 20 | 2003 | 32 |
About Weiming Xia
Weiming Xia is a scholar working on Physiology, Developmental Neuroscience and Biological Psychiatry, having authored 166 papers that have together received 11.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (104 papers), Cholinesterase and Neurodegenerative Diseases (27 papers), Dementia and Cognitive Impairment Research (16 papers), Computational Drug Discovery Methods (14 papers), Prion Diseases and Protein Misfolding (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Cellular transport and secretion (12 papers) and S100 Proteins and Annexins (10 papers). The work is most often cited by research in Physiology (7.0k citations), Developmental Neuroscience (794 citations) and Pharmacology (2.1k citations). Weiming Xia has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dennis J. Selkoe, Michael S. Wolfe, Beth L. Ostaszewski, W. Taylor Kimberly, Thekla S. Diehl, Edward H. Koo, Dennis J. Selkoe, Jie Shen, Dongfeng Chen and Susumu Tonegawa. Their work appears in journals such as Journal of Alzheimer s Disease, Journal of Biological Chemistry, Alzheimer s & Dementia, Scientific Reports and Biochemistry.
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.