Michaela Asp

5.9k total citations · 2 hit papers
8 papers, 1.2k citations indexed

About

Michaela Asp is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Michaela Asp has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Immunology. Recurrent topics in Michaela Asp's work include Single-cell and spatial transcriptomics (3 papers), Congenital heart defects research (3 papers) and RNA modifications and cancer (2 papers). Michaela Asp is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Congenital heart defects research (3 papers) and RNA modifications and cancer (2 papers). Michaela Asp collaborates with scholars based in Sweden, United States and Germany. Michaela Asp's co-authors include Joakim Lundeberg, Joseph Bergenstråhle, José Fernández Navarro, Ludvig Bergenstråhle, Alma Andersson, Aleksandra Jurek, Fredrik Salmén, Patrik L. Ståhl, Daniel Fürth and Joaquín Custodio and has published in prestigious journals such as Cell, Scientific Reports and Cell Reports.

In The Last Decade

Michaela Asp

8 papers receiving 1.2k citations

Hit Papers

A Spatiotemporal Organ-Wide Gene Expression and Cell Atla... 2019 2026 2021 2023 2019 2020 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michaela Asp Sweden 6 1.0k 225 205 164 83 8 1.2k
Ricardo O. Ramirez Flores Germany 11 758 0.7× 250 1.1× 147 0.7× 106 0.6× 141 1.7× 17 1.1k
Charlotte Labalette France 14 1.1k 1.1× 206 0.9× 196 1.0× 56 0.3× 146 1.8× 15 1.3k
Emma Dann United States 7 704 0.7× 298 1.3× 215 1.0× 109 0.7× 131 1.6× 12 1.0k
Robin Browaeys Belgium 5 664 0.6× 439 2.0× 149 0.7× 78 0.5× 203 2.4× 6 1.1k
Joseph Bergenstråhle Sweden 10 1.1k 1.1× 295 1.3× 295 1.4× 194 1.2× 155 1.9× 11 1.4k
Shila Ghazanfar Australia 17 770 0.7× 179 0.8× 148 0.7× 155 0.9× 309 3.7× 36 1.1k
Elizabeth Tuck United Kingdom 8 682 0.7× 215 1.0× 107 0.5× 87 0.5× 95 1.1× 10 908
Anna Arutyunyan United States 8 570 0.6× 220 1.0× 134 0.7× 74 0.5× 125 1.5× 10 825
Ludvig Bergenstråhle Sweden 9 1.2k 1.1× 274 1.2× 261 1.3× 249 1.5× 127 1.5× 11 1.4k
Rasa Elmentaite United Kingdom 6 601 0.6× 233 1.0× 127 0.6× 96 0.6× 108 1.3× 7 790

Countries citing papers authored by Michaela Asp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michaela Asp

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Asp. A scholar is included among the top collaborators of Michaela Asp 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 Michaela Asp. Michaela Asp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Kang, Wenjing, Bastian Fromm, Anna J.S. Houben, et al.. (2021). MapToCleave: High-throughput profiling of microRNA biogenesis in living cells. Cell Reports. 37(7). 110015–110015. 18 indexed citations
2.
Asp, Michaela. (2021). Developmental heart - filtered and unfiltered count matrices and meta tables. Data Archiving and Networked Services (DANS). 2. 1 indexed citations
3.
Andersson, Alma, Joseph Bergenstråhle, Michaela Asp, et al.. (2020). Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography. Communications Biology. 3(1). 565–565. 262 indexed citations
4.
Asp, Michaela, Joseph Bergenstråhle, & Joakim Lundeberg. (2020). Spatially Resolved Transcriptomes—Next Generation Tools for Tissue Exploration. BioEssays. 42(10). e1900221–e1900221. 355 indexed citations breakdown →
5.
Eriksson, Maria J., Anna Walentinsson, Matthias Corbascio, et al.. (2019). Transcriptomics of cardiac biopsies reveals differences in patients with or without diagnostic parameters for heart failure with preserved ejection fraction. Scientific Reports. 9(1). 3179–3179. 39 indexed citations
6.
Asp, Michaela, Stefania Giacomello, Ludvig Larsson, et al.. (2019). A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart. Cell. 179(7). 1647–1660.e19. 442 indexed citations breakdown →
7.
Asp, Michaela, Stefania Giacomello, Daniel Fürth, et al.. (2018). An Organ-Wide Gene Expression Atlas of the Developing Human Heart. SSRN Electronic Journal. 1 indexed citations
8.
Asp, Michaela, Fredrik Salmén, Patrik L. Ståhl, et al.. (2017). Spatial detection of fetal marker genes expressed at low level in adult human heart tissue. Scientific Reports. 7(1). 12941–12941. 55 indexed citations

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.

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