Martin Hemberg
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.5%
- Single-cell and spatial transcriptomics
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
Papers in
- Biophysics 10
- Cell Image Analysis Techniques 9
- Co-authors
- Tallulah AndrewsVladimir Yu KiselevMauricio BarahonaDavid A. HarminMichael E. GreenbergAndrew YiuJesse GrayTae-Kyung Kim
- Journals
- Genome biology (10 papers)Nucleic Acids Research (7 papers)Neuron (5 papers)Nature Methods (5 papers)Nature Communications (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Martin Hemberg
86 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Cancer Research 1.9k
- Molecular Biology 7.8k
- Biophysics 641
- Neurology 669
- Aging 121
Countries citing papers authored by Martin Hemberg
This map shows the geographic impact of Martin Hemberg'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 Martin Hemberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Hemberg more than expected).
Fields of papers citing papers by Martin Hemberg
This network shows the impact of papers produced by Martin Hemberg. 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 Martin Hemberg. The network helps show where Martin Hemberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Hemberg, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 41 | |
| 10 | 2022 | 36 | |
| 11 | 2021 | 48 | |
| 12 | 2020 | 183 | |
| 13 | 2019 | 164 | |
| 14 | 2018 | 170 | |
| 15 | 2016 | 83 | |
| 16 | 2016 | 8 | |
| 17 | 2012 | 95 | |
| 18 | 2011 | 24 | |
| 19 | Widespread transcription at neuronal activity-regulated enhancers Hit paper breakdown → | 2010 | 1786 |
| 20 | Perfect Sampling of the Chemical Master Equation for Gene Regulatory Networks | 2006 | 0 |
About Martin Hemberg
Martin Hemberg is a scholar working on Architecture, Biophysics, Cancer Research, Molecular Biology and Aging, having authored 92 papers that have together received 10.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (33 papers), RNA Research and Splicing (22 papers), Genomics and Chromatin Dynamics (17 papers), RNA and protein synthesis mechanisms (15 papers), Cell Image Analysis Techniques (9 papers), Gene Regulatory Network Analysis (9 papers), Cancer-related molecular mechanisms research (9 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (7.8k citations), Biophysics (641 citations), Neurology (669 citations) and Aging (121 citations). Martin Hemberg has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Tallulah Andrews, Vladimir Yu Kiselev, Mauricio Barahona, David A. Harmin, Michael E. Greenberg, Andrew Yiu, Jesse Gray, Tae-Kyung Kim, Sui Huang and Hannah Chang. Their work appears in journals such as Genome biology, Nucleic Acids Research, Neuron, Nature Methods and Nature Communications.
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.