Mario Looso

5.7k total citations · 2 hit papers
84 papers, 3.0k citations indexed

About

Mario Looso is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Mario Looso has authored 84 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 10 papers in Cancer Research. Recurrent topics in Mario Looso's work include Congenital heart defects research (15 papers), Genomics and Chromatin Dynamics (10 papers) and Epigenetics and DNA Methylation (10 papers). Mario Looso is often cited by papers focused on Congenital heart defects research (15 papers), Genomics and Chromatin Dynamics (10 papers) and Epigenetics and DNA Methylation (10 papers). Mario Looso collaborates with scholars based in Germany, United States and United Kingdom. Mario Looso's co-authors include Thomas Braun, Carsten Kuenne, Jens Preussner, Marcus Krüger, Stefan Günther, Stefan Günther, Mette Bentsen, Stefan Offermanns, Didier Y. R. Stainier and Johnny Kim and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Mario Looso

78 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ATAC-seq footprinting unravels kinetics of transcription factor binding during zygotic genome activation

2020 314 citations Mette Bentsen, Jens Preussner et al. Nature Communications profile →
Inhibition of fatty acid oxidation enables heart regeneration in adult mice

2023 136 citations Fan Wu, Stefan Günther et al. Nature profile →

Peers

Mario Looso

CCM

SURGE

Xiaochun Long United States

Kryn Stankunas United States

Sarah De Val United Kingdom

Jing‐Wei Xiong China

Dieter Weichenhan Germany

Nicolas Da Silva United States

Tomáš Valenta Switzerland

Andrea Rossi Germany

Aibin He China

Bruno Reversade Singapore

Xiaochun Long United States

Mario Looso

1.9k ×0.8

378 ×1.0

CCM

896 ×2.4

295 ×0.9

SURGE

315 ×1.0

Citations per year, relative to Mario Looso Mario Looso (= 1×) peers Xiaochun Long

Countries citing papers authored by Mario Looso

Since Specialization

Citations

This map shows the geographic impact of Mario Looso'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 Mario Looso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Looso more than expected).

Fields of papers citing papers by Mario Looso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Looso. 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 Mario Looso. The network helps show where Mario Looso may publish in the future.

Co-authorship network of co-authors of Mario Looso

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

All Works

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20 of 20 papers shown

Cho, Haaglim, Rémy Bonnavion, Shengpeng Wang, et al.. (2025). Endothelial insulin resistance induced by adrenomedullin mediates obesity-associated diabetes. Science. 387(6734). 674–682. 11 indexed citations

Gunawan, Felix, Giulia L. M. Boezio, Emilie Faure, et al.. (2024). egr3 is a mechanosensitive transcription factor gene required for cardiac valve morphogenesis. Science Advances. 10(20). eadl0633–eadl0633. 7 indexed citations

Martin, Daniel, Franz Rödel, Stephanie Hehlgans, et al.. (2024). Inflammatory pathways confer resistance to chemoradiotherapy in anal squamous cell carcinoma. npj Precision Oncology. 8(1). 93–93. 4 indexed citations

Juan, Thomas, et al.. (2024). Control of cardiac contractions using Cre-lox and degron strategies in zebrafish. Proceedings of the National Academy of Sciences. 121(3). e2309842121–e2309842121. 8 indexed citations

Bentsen, Mette, et al.. (2024). Scanpro is a tool for robust proportion analysis of single-cell resolution data. Scientific Reports. 14(1). 15581–15581. 4 indexed citations

Xu, Yanli, Joshua Bloomekatz, Khrievono Kikhi, et al.. (2024). PDGFRA is a conserved HAND2 effector during early cardiac development. Nature Cardiovascular Research. 3(12). 1531–1548. 1 indexed citations

Cardeira-da-Silva, João, Stefan Günther, Radhan Ramadass, et al.. (2024). Antigen presentation plays positive roles in the regenerative response to cardiac injury in zebrafish. Nature Communications. 15(1). 3637–3637. 9 indexed citations

Wu, Fan, Stefan Günther, Mario Looso, et al.. (2023). Inhibition of fatty acid oxidation enables heart regeneration in adult mice. Nature. 622(7983). 619–626. 136 indexed citations breakdown →

Beisaw, Arica, Carsten Kuenne, Stefan Günther, et al.. (2020). AP-1 Contributes to Chromatin Accessibility to Promote Sarcomere Disassembly and Cardiomyocyte Protrusion During Zebrafish Heart Regeneration. Circulation Research. 126(12). 1760–1778. 96 indexed citations

10.

Tellkamp, Frederik, Franziska Lang, Stefan Günther, et al.. (2020). Proteomics of Galápagos Marine Iguanas Links Function of Femoral Gland Proteins to the Immune System. Molecular & Cellular Proteomics. 19(9). 1523–1532. 4 indexed citations

11.

Preussner, Jens, Jiasheng Zhong, Stefan Günther, et al.. (2018). Oncogenic Amplification of Zygotic Dux Factors in Regenerating p53-Deficient Muscle Stem Cells Defines a Molecular Cancer Subtype. Cell stem cell. 23(6). 794–805.e4. 18 indexed citations

12.

Kaur, Harmandeep, Jorge Carvalho, Mario Looso, et al.. (2017). Single-cell profiling reveals heterogeneity and functional patterning of GPCR expression in the vascular system. Nature Communications. 8(1). 15700–15700. 81 indexed citations

13.

Preussner, Jens, et al.. (2017). UROPA: a tool for Universal RObust Peak Annotation. Scientific Reports. 7(1). 2593–2593. 42 indexed citations

14.

Tischner, Denise, Harmandeep Kaur, Jorge Carvalho, et al.. (2017). Single-cell profiling reveals GPCR heterogeneity and functional patterning during neuroinflammation. JCI Insight. 2(15). 22 indexed citations

15.

Kaur, Harmandeep, Mikito Takefuji, Jorge Carvalho, et al.. (2016). Targeted Ablation of Periostin-Expressing Activated Fibroblasts Prevents Adverse Cardiac Remodeling in Mice. Circulation Research. 118(12). 1906–1917. 193 indexed citations

16.

Sun, Tianliang, Lida Yang, Harmandeep Kaur, et al.. (2016). A reverse signaling pathway downstream of Sema4A controls cell migration via Scrib. The Journal of Cell Biology. 216(1). 199–215. 23 indexed citations

17.

Caputo, Luca, Hagen Roland Witzel, Petros Kolovos, et al.. (2015). The Isl1/Ldb1 Complex Orchestrates Genome-wide Chromatin Organization to Instruct Differentiation of Multipotent Cardiac Progenitors. Cell stem cell. 17(3). 287–299. 65 indexed citations

18.

Looso, Mario, Tobias Lengfeld, Anne Kuhn, et al.. (2015). A Comprehensive Transcriptomic and Proteomic Analysis of Hydra Head Regeneration. Molecular Biology and Evolution. 32(8). 1928–1947. 79 indexed citations

19.

Singh, Indrabahadur, Julio Cordero, Aditi Mehta, et al.. (2015). High mobility group protein-mediated transcription requires DNA damage marker γ-H2AX. Cell Research. 25(7). 837–850. 72 indexed citations

20.

Looso, Mario, et al.. (2011). Newt-omics: a comprehensive repository for omics data from the newt Notophthalmus viridescens. Nucleic Acids Research. 40(D1). D895–D900. 19 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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