Michelle Dang
Impact in
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- Zebrafish Biomedical Research Applications
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- Cell Adhesion Molecules Research
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)Monika Hartmann (2 shared papers)Harvey F. Lodish (2 shared papers)Andreas Herrlich (2 shared papers)Rachel Fogley (1 shared paper)Vivien J. Coulson‐Thomas (1 shared paper)
- Journals
- Nature Genetics (1 paper)Advances in experimental medicine and biology (1 paper)Disease Models & Mechanisms (1 paper)Journal of Biological Chemistry (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Michelle Dang
10 papers receiving 300 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 104
- Immunology and Allergy 33
- Developmental Neuroscience 20
- Oncology 67
- Molecular Biology 161
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 | 68 | |
| 2 | 2016 | 65 | |
| 3 | 2011 | 41 | |
| 4 | 2020 | 33 | |
| 5 | 2016 | 32 | |
| 6 | 2016 | 26 | |
| 7 | 2018 | 16 | |
| 8 | 2022 | 10 | |
| 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 301 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (4 papers), Cell Adhesion Molecules Research (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Protein Degradation and Inhibitors (2 papers), Immunotherapy and Immune Responses (2 papers), HER2/EGFR in Cancer Research (2 papers), Peptidase Inhibition and Analysis (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cell Biology (104 citations), Immunology and Allergy (33 citations), Developmental Neuroscience (20 citations), Oncology (67 citations) and Molecular Biology (161 citations). Michelle Dang has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Leonard I. Zon, Rachel E. Henderson, Levi A. Garraway, Monika Hartmann, Harvey F. Lodish, Andreas Herrlich, Rachel Fogley, Vivien J. Coulson‐Thomas, Mingxia Sun and Douglas A. Lauffenburger. Their work appears in journals such as Nature Genetics, Advances in experimental medicine and biology, Disease Models & Mechanisms, Journal of Biological Chemistry and International Journal of Molecular Sciences.
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.