Michal Gilon
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 1
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- Cancer-related molecular mechanisms research 5
- Cancer Genomics and Diagnostics 1
- Co-authors
- Imad Matouk (8 shared papers)Eli Raveh (5 shared papers)Abraham Hochberg (5 shared papers)David Halle (2 shared papers)Vladimir Sorin (3 shared papers)Avraham Hochberg (5 shared papers)Abraham Czerniak (3 shared papers)Ayala Hubert (3 shared papers)
- Journals
- Molecular Cancer (1 paper)Archives of Gynecology and Obstetrics (1 paper)Oncotarget (1 paper)Biomarkers (1 paper)Differentiation (1 paper)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Michal Gilon
11 papers receiving 1.0k citations
Michal Gilon's Hit Papers
Peers
Comparison fields: 5 of 61
- Cancer Research 812
- Molecular Biology 741
- Epidemiology 91
- Oncology 64
- Biotechnology 22
Countries citing papers authored by Michal Gilon
This map shows the geographic impact of Michal Gilon'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 Michal Gilon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Gilon more than expected).
Fields of papers citing papers by Michal Gilon
This network shows the impact of papers produced by Michal Gilon. 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 Michal Gilon. The network helps show where Michal Gilon may publish in the future.
Co-authors
The 25 scholars most cited alongside Michal Gilon, 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 H19 Long non-coding RNA in cancer initiation, progression and metastasis – a proposed unifying theory Hit paper breakdown → | 2015 | 439 |
| 2 | 2014 | 207 | |
| 3 | 2015 | 110 | |
| 4 | 2013 | 86 | |
| 5 | 2015 | 71 | |
| 6 | 2017 | 45 | |
| 7 | 2011 | 36 | |
| 8 | 2012 | 29 | |
| 9 | 2017 | 12 | |
| 10 | 2007 | 8 | |
| 11 | 2013 | 3 |
About Michal Gilon
Michal Gilon is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Genetics, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Mycobacterium research and diagnosis (2 papers), CAR-T cell therapy research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Epigenetics and DNA Methylation (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Cancer Research (812 citations), Molecular Biology (741 citations), Epidemiology (91 citations), Oncology (64 citations) and Biotechnology (22 citations). Michal Gilon has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Imad Matouk, Eli Raveh, Abraham Hochberg, David Halle, Vladimir Sorin, Avraham Hochberg, Abraham Czerniak, Ayala Hubert, Patricia Ohana and Tatiana Birman. Their work appears in journals such as Molecular Cancer, Archives of Gynecology and Obstetrics, Oncotarget, Biomarkers and Differentiation.
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.