Dan Michael
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in
-
- RNA modifications and cancer 3
- Retinal Development and Disorders 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Ubiquitin and proteasome pathways 1
- Oncology 9
- Cancer-related Molecular Pathways 8
- Co-authors
- Moshe Oren (9 shared papers)Eric R. Kandel (2 shared papers)Kelsey C. Martin (2 shared papers)Jack C. Rose (1 shared paper)Andrea Casadio (1 shared paper)Huixiang Zhu (1 shared paper)Mark Barad (1 shared paper)Doron Ginsberg (2 shared papers)
- Journals
- FEBS Letters (2 papers)Molecular and Cellular Biology (2 papers)Journal of Virology (1 paper)Molecular Cell (1 paper)Neuron (1 paper)
- Partner nations
- IsraelUnited StatesMalaysia
In The Last Decade
Dan Michael
14 papers receiving 2.3k citations
Dan Michael's Hit Papers
Peers
Comparison fields: 5 of 105
- Oncology 1.1k
- Cellular and Molecular Neuroscience 489
- Biotechnology 212
- Molecular Biology 1.5k
- Cell Biology 364
Countries citing papers authored by Dan Michael
This map shows the geographic impact of Dan Michael'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 Dan Michael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Michael more than expected).
Fields of papers citing papers by Dan Michael
This network shows the impact of papers produced by Dan Michael. 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 Dan Michael. The network helps show where Dan Michael may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Michael, 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 | The p53–Mdm2 module and the ubiquitin system Hit paper breakdown → | 2002 | 634 |
| 2 | MAP Kinase Translocates into the Nucleus of the Presynaptic Cell and Is Required for Long-Term Facilitation in Aplysia Hit paper breakdown → | 1997 | 482 |
| 3 | 2002 | 243 | |
| 4 | 2006 | 235 | |
| 5 | 2008 | 198 | |
| 6 | 1991 | 132 | |
| 7 | 1997 | 123 | |
| 8 | 1998 | 120 | |
| 9 | 2002 | 95 | |
| 10 | 2002 | 76 | |
| 11 | 1991 | 35 | |
| 12 | 1991 | 22 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 1 |
About Dan Michael
Dan Michael is a scholar working on Molecular Biology, Oncology, Biotechnology, Cellular and Molecular Neuroscience and Cell Biology, having authored 14 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), Cancer Research and Treatments (5 papers), RNA modifications and cancer (3 papers), Retinal Development and Disorders (2 papers), Photoreceptor and optogenetics research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Oncology (1.1k citations), Cellular and Molecular Neuroscience (489 citations), Biotechnology (212 citations), Molecular Biology (1.5k citations) and Cell Biology (364 citations). Dan Michael has collaborated with scholars based in Israel, United States and Malaysia. Frequent co-authors include Moshe Oren, Eric R. Kandel, Kelsey C. Martin, Jack C. Rose, Andrea Casadio, Huixiang Zhu, Mark Barad, Doron Ginsberg, Rony Seger and Yaara Ofir-Rosenfeld. Their work appears in journals such as FEBS Letters, Molecular and Cellular Biology, Journal of Virology, Molecular Cell and Neuron.
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.