Michael Hagemann-Jensen
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 5
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics 10
- RNA Research and Splicing 8
- Epigenetics and DNA Methylation 4
- Gene Regulatory Network Analysis 3
- RNA modifications and cancer 3
- Biophysics top 5%
- Immunology top 10%
- Immune Cell Function and Interaction 4
- Co-authors
- Rickard SandbergOmid R. FaridaniChristoph ZiegenhainAnton J. M. LarssonGert‐Jan HendriksDaniel RamsköldPing ChenBjörn Reinius
- Partner nations
- SwedenDenmarkUnited States
In The Last Decade
Michael Hagemann-Jensen
30 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cancer Research 426
- Molecular Biology 1.2k
- Biophysics 79
- Immunology 255
- Oncology 126
Countries citing papers authored by Michael Hagemann-Jensen
This map shows the geographic impact of Michael Hagemann-Jensen'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 Hagemann-Jensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hagemann-Jensen more than expected).
Fields of papers citing papers by Michael Hagemann-Jensen
This network shows the impact of papers produced by Michael Hagemann-Jensen. 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 Hagemann-Jensen. The network helps show where Michael Hagemann-Jensen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Hagemann-Jensen, 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 | 2024 | 5 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 59 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 22 | |
| 13 | Single-cell RNA counting at allele and isoform resolution using Smart-seq3breakdown → | 2020 | 407 |
| 14 | 2019 | 46 | |
| 15 | 2018 | 53 | |
| 16 | 2018 | 327 | |
| 17 | 2017 | 8 | |
| 18 | 2016 | 18 | |
| 19 | 2016 | 154 | |
| 20 | 2012 | 10 |
About Michael Hagemann-Jensen
Michael Hagemann-Jensen is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), RNA Research and Splicing (8 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers), Epigenetics and DNA Methylation (4 papers), Immune Cell Function and Interaction (4 papers), Gene Regulatory Network Analysis (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (426 citations), Molecular Biology (1.2k citations) and Biophysics (79 citations). Michael Hagemann-Jensen has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include Rickard Sandberg, Omid R. Faridani, Christoph Ziegenhain, Anton J. M. Larsson, Gert‐Jan Hendriks, Daniel Ramsköld, Ping Chen, Björn Reinius, Leonard Hartmanis and Ilgar Abdullayev. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.