An Dang
Impact in
- Physiology top 10%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
- Physiology 17
- Lysosomal Storage Disorders Research 17
- Co-authors
- Douglas R. Cavener (2 shared papers)Scot R. Kimball (2 shared papers)Leonard S. Jefferson (2 shared papers)Forbes D. Porter (24 shared papers)Lydia Kutzler (1 shared paper)C. V. Jurasinski (1 shared paper)Erich Lieth (1 shared paper)Simona Bianconi (10 shared papers)
- Journals
- Molecular Genetics and Metabolism (6 papers)Genetics in Medicine (4 papers)Journal of Inherited Metabolic Disease (3 papers)Digestive Diseases and Sciences (2 papers)Orphanet Journal of Rare Diseases (2 papers)
- Partner nations
- United StatesGermanyCzechia
In The Last Decade
An Dang
34 papers receiving 505 citations
Peers
Comparison fields: 5 of 68
- Physiology 199
- Physiology 35
- Cell Biology 114
- Neurology 51
- Molecular Biology 184
Countries citing papers authored by An Dang
This map shows the geographic impact of An 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 An Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An Dang more than expected).
Fields of papers citing papers by An Dang
This network shows the impact of papers produced by An 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 An Dang. The network helps show where An Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside An 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
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 96 | |
| 2 | 2022 | 75 | |
| 3 | 2009 | 60 | |
| 4 | 2001 | 39 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 25 | |
| 7 | 2020 | 24 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2021 | 5 |
About An Dang
An Dang is a scholar working on Physiology, Molecular Biology, Cell Biology, Organic Chemistry and Rheumatology, having authored 37 papers that have together received 509 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (17 papers), Connective tissue disorders research (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Cellular transport and secretion (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Physiology (199 citations), Physiology (35 citations), Cell Biology (114 citations), Neurology (51 citations) and Molecular Biology (184 citations). An Dang has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Douglas R. Cavener, Scot R. Kimball, Leonard S. Jefferson, Forbes D. Porter, Lydia Kutzler, C. V. Jurasinski, Erich Lieth, Simona Bianconi, Cara‐Lynne Schengrund and Nicole Y. Farhat. Their work appears in journals such as Molecular Genetics and Metabolism, Genetics in Medicine, Journal of Inherited Metabolic Disease, Digestive Diseases and Sciences and Orphanet Journal of Rare Diseases.
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.