Xiawei Dang
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
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- Neurological diseases and metabolism
- Amyotrophic Lateral Sclerosis Research
Papers in
-
- Genetic Neurodegenerative Diseases 5
- Hereditary Neurological Disorders 2
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- Mitochondrial Function and Pathology 9
- ATP Synthase and ATPases Research 4
- Coenzyme Q10 studies and effects 1
- Co-authors
- Antonietta Franco (9 shared papers)Gerald W. Dorn (7 shared papers)Hui Chen (1 shared paper)Min Li (1 shared paper)Jiajia Li (3 shared papers)Peter R Bernstein (2 shared papers)Robert H. Baloh (2 shared papers)Barbara Zabłocka (2 shared papers)
- Journals
- eLife (2 papers)Journal of Medicinal Chemistry (2 papers)Cells (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Life (1 paper)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Xiawei Dang
13 papers receiving 307 citations
Peers
Comparison fields: 5 of 53
- Clinical Biochemistry 47
- Neurology 32
- Cellular and Molecular Neuroscience 65
- Neurology 34
- Molecular Biology 149
Countries citing papers authored by Xiawei Dang
This map shows the geographic impact of Xiawei Dang'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 Xiawei Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiawei Dang more than expected).
Fields of papers citing papers by Xiawei Dang
This network shows the impact of papers produced by Xiawei Dang. 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 Xiawei Dang. The network helps show where Xiawei Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiawei Dang, 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 | 2019 | 78 | |
| 2 | 2020 | 47 | |
| 3 | 2020 | 35 | |
| 4 | 2022 | 27 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 17 | |
| 7 | 2017 | 17 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 8 |
About Xiawei Dang
Xiawei Dang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 13 papers that have together received 310 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Genetic Neurodegenerative Diseases (5 papers), ATP Synthase and ATPases Research (4 papers), Hereditary Neurological Disorders (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Autophagy in Disease and Therapy (2 papers), Coenzyme Q10 studies and effects (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Clinical Biochemistry (47 citations), Neurology (32 citations), Cellular and Molecular Neuroscience (65 citations), Neurology (34 citations) and Molecular Biology (149 citations). Xiawei Dang has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Antonietta Franco, Gerald W. Dorn, Hui Chen, Min Li, Jiajia Li, Peter R Bernstein, Robert H. Baloh, Barbara Zabłocka, Michael E. Shy and Sriram Devanathan. Their work appears in journals such as eLife, Journal of Medicinal Chemistry, Cells, Journal of Pharmacology and Experimental Therapeutics and Life.
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.