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 ⓘ
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- Cancer Research and Treatments 5
- 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)Mark Barad (1 shared paper)Andrea Casadio (1 shared paper)Huixiang Zhu (1 shared paper)Doron Ginsberg (2 shared papers)
- Journals
- FEBS Letters (2 papers)Molecular and Cellular Biology (2 papers)Genes & Development (1 paper)Proceedings of the National Academy of Sciences (1 paper)Plants (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Dan Michael
15 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Oncology 1.1k
- Cellular and Molecular Neuroscience 474
- Biotechnology 218
- Molecular Biology 1.6k
- Cell Biology 361
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 | 618 |
| 2 | MAP Kinase Translocates into the Nucleus of the Presynaptic Cell and Is Required for Long-Term Facilitation in Aplysia Hit paper breakdown → | 1997 | 461 |
| 3 | 2006 | 226 | |
| 4 | 2002 | 225 | |
| 5 | 2008 | 189 | |
| 6 | 1991 | 130 | |
| 7 | 1997 | 121 | |
| 8 | 1998 | 118 | |
| 9 | 2002 | 91 | |
| 10 | 2002 | 76 | |
| 11 | 1991 | 35 | |
| 12 | 1991 | 20 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 |
About Dan Michael
Dan Michael is a scholar working on Biotechnology, Oncology, Molecular Biology, Cancer Research and Cell Biology, having authored 16 papers that have together received 2.3k 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), Cancer, Hypoxia, and Metabolism (2 papers), Photoreceptor and optogenetics research (2 papers), Retinal Development and Disorders (2 papers), Genetic factors in colorectal cancer (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Oncology (1.1k citations), Cellular and Molecular Neuroscience (474 citations), Biotechnology (218 citations), Molecular Biology (1.6k citations) and Cell Biology (361 citations). Dan Michael has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Moshe Oren, Eric R. Kandel, Kelsey C. Martin, Jack C. Rose, Mark Barad, Andrea Casadio, Huixiang Zhu, Doron Ginsberg, Rony Seger and Kristy Boggs. Their work appears in journals such as FEBS Letters, Molecular and Cellular Biology, Genes & Development, Proceedings of the National Academy of Sciences and Plants.
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.