Denes Hnisz
- Molecular Biology top 0.2%
- Cancer Research top 1%
- Genetics top 1%
- Plant Science top 2%
- Immunology top 2%
- Co-authors
- Brian J. AbrahamRichard A. YoungTong Ihn LeeAlla A. SigovaJames E. BradnerCharles Y. LinPeter B. RahlMichael H. Kagey
- Topics
- Genomics and Chromatin Dynamics (23 papers)RNA Research and Splicing (17 papers)RNA and protein synthesis mechanisms (7 papers)
- Journals
- ScienceCellNucleic Acids Research
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Denes Hnisz
34 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 10.1k
- Cancer Research 1.4k
- Genetics 1.2k
- Plant Science 993
- Immunology 943
Countries citing papers authored by Denes Hnisz
This map shows the geographic impact of Denes Hnisz'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 Denes Hnisz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denes Hnisz more than expected).
Fields of papers citing papers by Denes Hnisz
This network shows the impact of papers produced by Denes Hnisz. 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 Denes Hnisz. The network helps show where Denes Hnisz may publish in the future.
Co-authorship network of co-authors of Denes Hnisz
This figure shows the co-authorship network connecting the top 25 collaborators of Denes Hnisz. A scholar is included among the top collaborators of Denes Hnisz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denes Hnisz. Denes Hnisz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | 23 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 129 | |
| 8 | 92 | |
| 9 | Rescue of Fragile X Syndrome Neurons by DNA Methylation Editing of the FMR1 Genebreakdown → | 335 |
| 10 | A Phase Separation Model for Transcriptional Controlbreakdown → | 1182 |
| 11 | Transcriptional Addiction in Cancerbreakdown → | 756 |
| 12 | 7 | |
| 13 | 62 | |
| 14 | Activation of proto-oncogenes by disruption of chromosome neighborhoodsbreakdown → | 679 |
| 15 | 286 | |
| 16 | Convergence of Developmental and Oncogenic Signaling Pathways at Transcriptional Super-Enhancers | 139 |
| 17 | Control of Cell Identity Genes Occurs in Insulated Neighborhoods in Mammalian Chromosomesbreakdown → | 639 |
| 18 | Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genesbreakdown → | 2677 |
| 19 | 75 | |
| 20 | 83 |
About Denes Hnisz
Denes Hnisz is a scholar working on Molecular Biology, Infectious Diseases and Plant Science, having authored 34 papers that have together received 11.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (23 papers), RNA Research and Splicing (17 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Molecular Biology (10.1k citations), Cancer Research (1.4k citations) and Immunology (943 citations). Denes Hnisz has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Brian J. Abraham, Richard A. Young, Richard A. Young, Tong Ihn Lee, Alla A. Sigova, James E. Bradner, Charles Y. Lin, Peter B. Rahl, Michael H. Kagey and Ashley Lau. Their work appears in journals such as Science, Cell and Nucleic Acids Research.
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.