Da Wu
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diet, Metabolism, and Disease
- Hormonal Regulation and Hypertension
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- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
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- Botulinum Toxin and Related Neurological Disorders 2
- Neurological disorders and treatments 1
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- Peroxisome Proliferator-Activated Receptors 1
- Ion channel regulation and function 1
- Mitochondrial Function and Pathology 1
- Co-authors
- S.-M. Shieh (1 shared paper)Gerald M. Reaven (1 shared paper)Martin Mao-Tsu Fuh (1 shared paper)T. Mohandas (1 shared paper)Bon‐chu Chung (1 shared paper)J Picado-Leonard (1 shared paper)Walter L. Miller (1 shared paper)Yves Morel (1 shared paper)
- Journals
- Frontiers in Neurology (3 papers)American Journal of Hypertension (1 paper)BMC Medical Genomics (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Da Wu
6 papers receiving 413 citations
Peers
Comparison fields: 5 of 68
- Endocrinology, Diabetes and Metabolism 231
- Physiology 141
- Cardiology and Cardiovascular Medicine 107
- Pharmacology 46
- Endocrine and Autonomic Systems 16
Countries citing papers authored by Da Wu
This map shows the geographic impact of Da Wu'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 Da Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Wu more than expected).
Fields of papers citing papers by Da Wu
This network shows the impact of papers produced by Da Wu. 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 Da Wu. The network helps show where Da Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Wu, 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 | 1988 | 348 | |
| 2 | Assignment of the functional gene for human adrenodoxin to chromosome 11q13----qter and of adrenodoxin pseudogenes to chromosome 20cen----q13.1. | 1988 | 29 |
| 3 | 2021 | 21 | |
| 4 | 1990 | 15 | |
| 5 | 2021 | 9 | |
| 6 | 2024 | 6 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 |
About Da Wu
Da Wu is a scholar working on Neurology, Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 428 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Diabetes Management and Research (1 paper), Neurological disorders and treatments (1 paper), Ion channel regulation and function (1 paper), Mitochondrial Function and Pathology (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (231 citations), Physiology (141 citations), Cardiology and Cardiovascular Medicine (107 citations), Pharmacology (46 citations) and Endocrine and Autonomic Systems (16 citations). Da Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include S.-M. Shieh, Gerald M. Reaven, Martin Mao-Tsu Fuh, T. Mohandas, Bon‐chu Chung, J Picado-Leonard, Walter L. Miller, Yves Morel, G. M. Reaven and Wanchun You. Their work appears in journals such as Frontiers in Neurology, American Journal of Hypertension, BMC Medical Genomics, The Journal of Clinical Endocrinology & Metabolism and Molecular Neurobiology.
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.