Óttar Rolfsson

3.9k total citations
63 papers, 2.1k citations indexed

About

Óttar Rolfsson is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Óttar Rolfsson has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 11 papers in Physiology and 10 papers in Cancer Research. Recurrent topics in Óttar Rolfsson's work include Metabolomics and Mass Spectrometry Studies (17 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Óttar Rolfsson is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (17 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Óttar Rolfsson collaborates with scholars based in Iceland, United States and Denmark. Óttar Rolfsson's co-authors include Bernhard Ø. Palsson, Giuseppe Paglia, Ólafur E. Sigurjónsson, Skarphéðinn Halldórsson, Aarash Bordbar, Sveinn Guðmundsson, Peter G. Stockley, Sirus Palsson, Sigurður Brynjólfsson and Manuela Magnúsdóttir and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Óttar Rolfsson

59 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Óttar Rolfsson Iceland 28 1.2k 295 293 269 216 63 2.1k
Janice Mayne Canada 30 1.7k 1.5× 119 0.4× 368 1.3× 267 1.0× 30 0.1× 94 3.7k
Sven Baumann Germany 34 2.1k 1.8× 71 0.2× 441 1.5× 168 0.6× 74 0.3× 89 3.9k
Yoshihiro Izumi Japan 31 2.1k 1.8× 84 0.3× 576 2.0× 383 1.4× 34 0.2× 154 3.7k
Anna Maria Salzano Italy 27 1.2k 1.0× 43 0.1× 123 0.4× 278 1.0× 56 0.3× 102 2.4k
Joana Pinto Portugal 23 922 0.8× 75 0.3× 238 0.8× 196 0.7× 61 0.3× 94 1.9k
Kevin Cho United States 24 1.7k 1.5× 148 0.5× 282 1.0× 236 0.9× 24 0.1× 58 2.6k
Cheng Huang China 28 1.2k 1.1× 120 0.4× 62 0.2× 226 0.8× 79 0.4× 106 2.6k
Junichi Nakagawa Japan 32 1.8k 1.5× 100 0.3× 38 0.1× 166 0.6× 59 0.3× 147 3.6k
Montserrat Carrascal Spain 32 1.4k 1.2× 87 0.3× 367 1.3× 147 0.5× 13 0.1× 102 2.9k
Yuan Li China 28 1.9k 1.7× 104 0.4× 35 0.1× 186 0.7× 59 0.3× 141 3.0k

Countries citing papers authored by Óttar Rolfsson

Since Specialization
Citations

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

Fields of papers citing papers by Óttar Rolfsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Óttar Rolfsson

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

All Works

20 of 20 papers shown
1.
Rolfsson, Óttar, et al.. (2025). Mechanical Properties and Microstructure of Decellularized Brown Seaweed Scaffold for Tissue Engineering. Bioengineering. 12(9). 943–943.
2.
Yurkovich, James T., et al.. (2024). Temperature Dependence of Platelet Metabolism. Metabolites. 14(2). 91–91.
3.
Kotronoulas, Aristotelis, et al.. (2023). Fish Skin Grafts Affect Adenosine and Methionine Metabolism during Burn Wound Healing. Antioxidants. 12(12). 2076–2076. 1 indexed citations
4.
5.
Lomana, Adrián López García de, Leifur Franzson, Haraldur Halldórsson, et al.. (2022). Metabolic Response in Endothelial Cells to Catecholamine Stimulation Associated with Increased Vascular Permeability. International Journal of Molecular Sciences. 23(6). 3162–3162. 14 indexed citations
6.
Wang, Qiong, et al.. (2021). EMT-Derived Alterations in Glutamine Metabolism Sensitize Mesenchymal Breast Cells to mTOR Inhibition. Molecular Cancer Research. 19(9). 1546–1558. 8 indexed citations
7.
Lomana, Adrián López García de, Aristotelis Kotronoulas, Snævar Sigurðsson, et al.. (2021). Metabolic and Transcriptional Changes across Osteogenic Differentiation of Mesenchymal Stromal Cells. Bioengineering. 8(12). 208–208. 15 indexed citations
8.
Yurkovich, James T., et al.. (2021). Analyzing Metabolic States of Adipogenic and Osteogenic Differentiation in Human Mesenchymal Stem Cells via Genome Scale Metabolic Model Reconstruction. Frontiers in Cell and Developmental Biology. 9. 642681–642681. 7 indexed citations
9.
Schepsky, Alexander, Qiong Wang, Óttar Rolfsson, et al.. (2020). ECM1 secreted by HER2-overexpressing breast cancer cells promotes formation of a vascular niche accelerating cancer cell migration and invasion. Laboratory Investigation. 100(7). 928–944. 31 indexed citations
10.
Rolfsson, Óttar, et al.. (2020). Current Status and Future Prospects of Genome-Scale Metabolic Modeling to Optimize the Use of Mesenchymal Stem Cells in Regenerative Medicine. Frontiers in Bioengineering and Biotechnology. 8. 239–239. 11 indexed citations
11.
Yi, Zhiqian, Yixi Su, David R. Nelson, et al.. (2019). Combined artificial high-silicate medium and LED illumination promote carotenoid accumulation in the marine diatom Phaeodactylum tricornutum. Microbial Cell Factories. 18(1). 209–209. 37 indexed citations
12.
13.
Guðmundsson, Sveinn, et al.. (2019). Metabolomics study of platelet concentrates photochemically treated with amotosalen and UVA light for pathogen inactivation. Transfusion. 60(2). 367–377. 4 indexed citations
14.
Sigurjónsson, Ólafur E., et al.. (2019). Comparative Metabolic Network Flux Analysis to Identify Differences in Cellular Metabolism. Methods in molecular biology. 2088. 223–269. 3 indexed citations
15.
16.
Yurkovich, James T., Daniel C. Zielinski, Laurence Yang, et al.. (2017). Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks. Journal of Biological Chemistry. 292(48). 19556–19564. 45 indexed citations
17.
Choudhary, Kumari Sonal, Neha Rohatgi, Skarphéðinn Halldórsson, et al.. (2016). EGFR Signal-Network Reconstruction Demonstrates Metabolic Crosstalk in EMT. PLoS Computational Biology. 12(6). e1004924–e1004924. 38 indexed citations
18.
Rolfsson, Óttar, Katerina Toropova, Neil A. Ranson, & Peter G. Stockley. (2010). Mutually-induced Conformational Switching of RNA and Coat Protein Underpins Efficient Assembly of a Viral Capsid. Journal of Molecular Biology. 401(2). 309–322. 35 indexed citations
19.
Stockley, Peter G., Óttar Rolfsson, Gary S. Thompson, et al.. (2007). A Simple, RNA-Mediated Allosteric Switch Controls the Pathway to Formation of a T=3 Viral Capsid. Journal of Molecular Biology. 369(2). 541–552. 119 indexed citations
20.
Styrkársdóttir, Unnur, Jean‐Baptiste Cazier, Augustine Kong, et al.. (2003). Linkage of Osteoporosis to Chromosome 20p12 and Association to BMP2. PLoS Biology. 1(3). e69–e69. 196 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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