Gabriella Brolén

1.3k total citations
15 papers, 900 citations indexed

About

Gabriella Brolén is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Gabriella Brolén has authored 15 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Surgery and 3 papers in Cell Biology. Recurrent topics in Gabriella Brolén's work include Pluripotent Stem Cells Research (8 papers), Pancreatic function and diabetes (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Gabriella Brolén is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Pancreatic function and diabetes (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Gabriella Brolén collaborates with scholars based in Sweden, United Kingdom and Netherlands. Gabriella Brolén's co-authors include Henrik Semb, Nico Heins, Josefina Edsbagge, Thomas Nyström, Malin Hernebring, Jane Synnergren, Hugo Aguilaniu, Tommy B. Andersson, Petter Björquist and Ryan Hicks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Diabetes.

In The Last Decade

Gabriella Brolén

15 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gabriella Brolén Sweden	14	528	219	176	162	138	15	900
Daniel Eberhard Germany	19	541 1.0×	401 1.8×	94 0.5×	48 0.3×	92 0.7×	37	1.1k
Eoghan O’Duibhir United Kingdom	16	716 1.4×	346 1.6×	417 2.4×	39 0.2×	236 1.7×	19	1.4k
Siew Tein Wang Singapore	10	880 1.7×	346 1.6×	30 0.2×	120 0.7×	178 1.3×	12	1.2k
Tariq G. Fellous United Kingdom	9	241 0.5×	180 0.8×	66 0.4×	51 0.3×	48 0.3×	10	633
Naoki Uyama Japan	16	157 0.3×	329 1.5×	455 2.6×	28 0.2×	314 2.3×	37	905
Chenxi Zhao China	16	458 0.9×	63 0.3×	47 0.3×	42 0.3×	123 0.9×	37	913
Chen Wu China	11	746 1.4×	245 1.1×	222 1.3×	168 1.0×	31 0.2×	24	961
Adrian Kee Keong Teo Singapore	23	1.5k 2.8×	1.0k 4.7×	68 0.4×	190 1.2×	87 0.6×	67	2.3k
Shipeng Dang China	12	236 0.4×	91 0.4×	24 0.1×	23 0.1×	152 1.1×	34	598
Dong‐Sik Ham South Korea	14	329 0.6×	276 1.3×	22 0.1×	25 0.2×	187 1.4×	24	763

Countries citing papers authored by Gabriella Brolén

Since Specialization

Citations

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

Fields of papers citing papers by Gabriella Brolén

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Brolén

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

All Works

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15 of 15 papers shown

Carlsson, Björn, Daniel Lindén, Gabriella Brolén, et al.. (2020). Review article: the emerging role of genetics in precision medicine for patients with non‐alcoholic steatohepatitis. Alimentary Pharmacology & Therapeutics. 51(12). 1305–1320. 118 indexed citations

Lundin, Anders, Louise Delsing, Maryam Clausen, et al.. (2018). Human iPS-Derived Astroglia from a Stable Neural Precursor State Show Improved Functionality Compared with Conventional Astrocytic Models. Stem Cell Reports. 10(3). 1030–1045. 72 indexed citations

Granéli, Cecilia, Ryan Hicks, Gabriella Brolén, Jane Synnergren, & Peter Sartipy. (2018). Diabetic Cardiomyopathy Modelling Using Induced Pluripotent Stem Cell Derived Cardiomyocytes: Recent Advances and Emerging Models. Stem Cell Reviews and Reports. 15(1). 13–22. 30 indexed citations

Delsing, Louise, Pierre Dönnes, José Sánchez, et al.. (2018). Barrier Properties and Transcriptome Expression in Human iPSC-Derived Models of the Blood–Brain Barrier. Stem Cells. 36(12). 1816–1827. 79 indexed citations

Synnergren, Jane, Lauren Drowley, Alleyn T. Plowright, et al.. (2016). Comparative transcriptomic analysis identifies genes differentially expressed in human epicardial progenitors and hiPSC-derived cardiac progenitors. Physiological Genomics. 48(11). 771–784. 1 indexed citations

Drowley, Lauren, Chad H. Koonce, S Peel, et al.. (2015). Human Induced Pluripotent Stem Cell-Derived Cardiac Progenitor Cells in Phenotypic Screening: A Transforming Growth Factor-β Type 1 Receptor Kinase Inhibitor Induces Efficient Cardiac Differentiation. Stem Cells Translational Medicine. 5(2). 164–174. 30 indexed citations

Sjögren, Anna-Karin, Björn Glinghammar, Xueqing Li, et al.. (2014). Critical differences in toxicity mechanisms in induced pluripotent stem cell-derived hepatocytes, hepatic cell lines and primary hepatocytes. Archives of Toxicology. 88(7). 1427–1437. 57 indexed citations

Brännmark, Cecilia, Alexandra Paul, Björn Magnusson, et al.. (2014). Increased Adipogenesis of Human Adipose-Derived Stem Cells on Polycaprolactone Fiber Matrices. PLoS ONE. 9(11). e113620–e113620. 36 indexed citations

Nordell, Pär, Annika Asplund, Gustav Holmgren, et al.. (2013). Drug metabolizing enzyme and transporter protein profiles of hepatocytes derived from human embryonic and induced pluripotent stem cells. Biochemical Pharmacology. 86(5). 691–702. 77 indexed citations

10.

Doktorova, Tatyana Y., Mathieu Vinken, Mireia Vilardell, et al.. (2013). Transcriptomic responses generated by hepatocarcinogens in a battery of liver-based in vitro models. Carcinogenesis. 34(6). 1393–1402. 42 indexed citations

11.

Brolén, Gabriella, Mireia Vilardell, Jane Synnergren, et al.. (2011). Human Embryonic Stem Cell Derived Hepatocyte-Like Cells as a Tool for In Vitro Hazard Assessment of Chemical Carcinogenicity. Toxicological Sciences. 124(2). 278–290. 43 indexed citations

12.

Synnergren, Jane, Nico Heins, Gabriella Brolén, et al.. (2009). Transcriptional Profiling of Human Embryonic Stem Cells Differentiating to Definitive and Primitive Endoderm and Further Toward the Hepatic Lineage. Stem Cells and Development. 19(7). 961–978. 13 indexed citations

13.

Brolén, Gabriella, Petter Björquist, Monica Ek, et al.. (2009). Hepatocyte-like cells derived from human embryonic stem cells specifically via definitive endoderm and a progenitor stage. Journal of Biotechnology. 145(3). 284–294. 88 indexed citations

14.

Hernebring, Malin, Gabriella Brolén, Hugo Aguilaniu, Henrik Semb, & Thomas Nyström. (2006). Elimination of damaged proteins during differentiation of embryonic stem cells. Proceedings of the National Academy of Sciences. 103(20). 7700–7705. 114 indexed citations

15.

Brolén, Gabriella, Nico Heins, Josefina Edsbagge, & Henrik Semb. (2005). Signals From the Embryonic Mouse Pancreas Induce Differentiation of Human Embryonic Stem Cells Into Insulin-Producing β-Cell–Like Cells. Diabetes. 54(10). 2867–2874. 100 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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