Michael Hoichman
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
Papers in
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- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 2
- Single-cell and spatial transcriptomics 2
- Gene expression and cancer classification 1
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- Cancer-related molecular mechanisms research 1
- Co-authors
- Amos Tanay (4 shared papers)Tom Sexton (1 shared paper)Eitan Yaffe (1 shared paper)Hugues Parrinello (1 shared paper)Benjamin Leblanc (1 shared paper)Giacomo Cavalli (1 shared paper)Ephraim Kenigsberg (1 shared paper)Frédéric Bantignies (1 shared paper)
- Partner nations
- IsraelFranceNetherlands
In The Last Decade
Michael Hoichman
4 papers receiving 2.0k citations
Michael Hoichman's Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.8k
- Plant Science 585
- Genetics 228
- Biophysics 48
- Aging 12
Countries citing papers authored by Michael Hoichman
This map shows the geographic impact of Michael Hoichman'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 Michael Hoichman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hoichman more than expected).
Fields of papers citing papers by Michael Hoichman
This network shows the impact of papers produced by Michael Hoichman. 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 Michael Hoichman. The network helps show where Michael Hoichman may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Hoichman, 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 | Three-Dimensional Folding and Functional Organization Principles of the Drosophila Genome Hit paper breakdown → | 2012 | 1414 |
| 2 | 2012 | 304 | |
| 3 | 2019 | 254 | |
| 4 | 2021 | 22 |
About Michael Hoichman
Michael Hoichman is a scholar working on Molecular Biology, Cancer Research, Immunology, Genetics and Artificial Intelligence, having authored 4 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers), Single-cell and spatial transcriptomics (2 papers), Cancer-related molecular mechanisms research (1 paper), Gene expression and cancer classification (1 paper), Chromosomal and Genetic Variations (1 paper), Genetic Associations and Epidemiology (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Molecular Biology (1.8k citations), Plant Science (585 citations), Genetics (228 citations), Biophysics (48 citations) and Aging (12 citations). Michael Hoichman has collaborated with scholars based in Israel, France and Netherlands. Frequent co-authors include Amos Tanay, Tom Sexton, Eitan Yaffe, Hugues Parrinello, Benjamin Leblanc, Giacomo Cavalli, Ephraim Kenigsberg, Frédéric Bantignies, Aviezer Lifshitz and Yaniv Lubling. Their work appears in journals such as Nature Medicine, Cell, Nature Methods and Genome biology.
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.