Michaela Asp
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- Congenital heart defects research
Papers in ⓘ
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- Single-cell and spatial transcriptomics 3
- Congenital heart defects research 3
- RNA Research and Splicing 2
- RNA modifications and cancer 2
- Molecular Biology Techniques and Applications 1
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- Cardiomyopathy and Myosin Studies 1
- Cardiac Fibrosis and Remodeling 1
- Co-authors
- Joakim Lundeberg (6 shared papers)Joseph Bergenstråhle (2 shared papers)José Fernández Navarro (2 shared papers)Aleksandra Jurek (1 shared paper)Alma Andersson (1 shared paper)Ludvig Bergenstråhle (1 shared paper)Fredrik Salmén (3 shared papers)Patrik L. Ståhl (3 shared papers)
- Journals
- Scientific Reports (2 papers)Cell (1 paper)BioEssays (1 paper)Cell Reports (1 paper)Communications Biology (1 paper)
- Partner nations
- SwedenUnited StatesNetherlands
In The Last Decade
Michaela Asp
8 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Biophysics 164
- Molecular Biology 1.0k
- Cancer Research 205
- Immunology 225
- Neurology 36
Countries citing papers authored by Michaela Asp
This map shows the geographic impact of Michaela Asp'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 Michaela Asp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Asp more than expected).
Fields of papers citing papers by Michaela Asp
This network shows the impact of papers produced by Michaela Asp. 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 Michaela Asp. The network helps show where Michaela Asp may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Asp, 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 | A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart Hit paper breakdown → | 2019 | 442 |
| 2 | Spatially Resolved Transcriptomes—Next Generation Tools for Tissue Exploration Hit paper breakdown → | 2020 | 355 |
| 3 | 2020 | 262 | |
| 4 | 2017 | 55 | |
| 5 | 2019 | 39 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 1 | |
| 8 | 2018 | 1 |
About Michaela Asp
Michaela Asp is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Cancer Research and Infectious Diseases, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Congenital heart defects research (3 papers), RNA Research and Splicing (2 papers), RNA modifications and cancer (2 papers), MicroRNA in disease regulation (1 paper), Cardiomyopathy and Myosin Studies (1 paper), Molecular Biology Techniques and Applications (1 paper) and Cardiac Fibrosis and Remodeling (1 paper). The work is most often cited by research in Biophysics (164 citations), Molecular Biology (1.0k citations), Cancer Research (205 citations), Immunology (225 citations) and Neurology (36 citations). Michaela Asp has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include Joakim Lundeberg, Joseph Bergenstråhle, José Fernández Navarro, Aleksandra Jurek, Alma Andersson, Ludvig Bergenstråhle, Fredrik Salmén, Patrik L. Ståhl, Olaf Bergmann and Daniel Fürth. Their work appears in journals such as Scientific Reports, Cell, BioEssays, Cell Reports and Communications 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.