Michelle Dang
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Protein Degradation and Inhibitors 2
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- Zebrafish Biomedical Research Applications 4
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Leonard I. Zon (6 shared papers)Rachel E. Henderson (1 shared paper)Levi A. Garraway (1 shared paper)Andreas Herrlich (2 shared papers)Harvey F. Lodish (2 shared papers)Monika Hartmann (2 shared papers)Rachel Fogley (1 shared paper)Mingxia Sun (1 shared paper)
- Journals
- Journal of Biological Chemistry (1 paper)Developmental Biology (1 paper)Advances in experimental medicine and biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Disease Models & Mechanisms (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Michelle Dang
10 papers receiving 309 citations
Peers
Comparison fields: 5 of 76
- Cell Biology 106
- Developmental Neuroscience 20
- Immunology and Allergy 28
- Oncology 64
- Molecular Biology 155
Countries citing papers authored by Michelle Dang
This map shows the geographic impact of Michelle 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 Michelle Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Dang more than expected).
Fields of papers citing papers by Michelle Dang
This network shows the impact of papers produced by Michelle 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 Michelle Dang. The network helps show where Michelle Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle 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 | 2013 | 69 | |
| 2 | 2016 | 66 | |
| 3 | 2011 | 41 | |
| 4 | 2020 | 36 | |
| 5 | 2016 | 33 | |
| 6 | 2016 | 26 | |
| 7 | 2018 | 17 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 9 | |
| 10 | 2018 | 1 |
About Michelle Dang
Michelle Dang is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Allergy and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 310 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (4 papers), Cell Adhesion Molecules Research (3 papers), Immunotherapy and Immune Responses (2 papers), Protein Degradation and Inhibitors (2 papers), Peptidase Inhibition and Analysis (2 papers), HER2/EGFR in Cancer Research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Cell Biology (106 citations), Developmental Neuroscience (20 citations), Immunology and Allergy (28 citations), Oncology (64 citations) and Molecular Biology (155 citations). Michelle Dang has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Leonard I. Zon, Rachel E. Henderson, Levi A. Garraway, Andreas Herrlich, Harvey F. Lodish, Monika Hartmann, Rachel Fogley, Mingxia Sun, Vivien J. Coulson‐Thomas and Douglas A. Lauffenburger. Their work appears in journals such as Journal of Biological Chemistry, Developmental Biology, Advances in experimental medicine and biology, Proceedings of the National Academy of Sciences and Disease Models & Mechanisms.
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.