Sara Nolbrant

1.5k total citations
16 papers, 1.0k citations indexed

About

Sara Nolbrant is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Sara Nolbrant has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Developmental Neuroscience. Recurrent topics in Sara Nolbrant's work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (7 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Sara Nolbrant is often cited by papers focused on Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (7 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Sara Nolbrant collaborates with scholars based in Sweden, Denmark and Belgium. Sara Nolbrant's co-authors include Malin Parmar, Agnete Kirkeby, Andreas Heuer, Tiago Cardoso, Thomas Perlmann, Katarína Tiklová, Shane Grealish, Linda Gillberg, Nikolaos Volakakis and Åsa K. Björklund and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Comparative Neurology.

In The Last Decade

Sara Nolbrant

16 papers receiving 1.0k citations

Peers

Sara Nolbrant

CMN

GENET

NEURO

Tiago Cardoso Sweden

Daniel Gyllborg Sweden

Yuejun Chen China

Angéline Bilheu Belgium

Maria Teresa Dell’Anno Italy

Sophie Péron Germany

Zhanna Alekseenko Sweden

Yi Han Ng United States

Andrew P. Tosolini United Kingdom

Jaideep Kesavan Germany

Tiago Cardoso Sweden

Sara Nolbrant

663 ×0.8

438 ×0.9

CMN

201 ×1.2

104 ×0.9

GENET

108 ×0.9

NEURO

Citations per year, relative to Sara Nolbrant Sara Nolbrant (= 1×) peers Tiago Cardoso

Countries citing papers authored by Sara Nolbrant

Since Specialization

Citations

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

Fields of papers citing papers by Sara Nolbrant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Nolbrant

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

All Works

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16 of 16 papers shown

Davidsson, Marcus, Patrick Aldrin-Kirk, Tiago Cardoso, et al.. (2023). Deconvolution of spatial sequencing provides accurate characterization of hESC-derived DA transplants in vivo. Molecular Therapy — Methods & Clinical Development. 29. 381–394. 4 indexed citations

Alekseenko, Zhanna, José M. Dias, Andrew F. Adler, et al.. (2022). Robust derivation of transplantable dopamine neurons from human pluripotent stem cells by timed retinoic acid delivery. Nature Communications. 13(1). 3046–3046. 19 indexed citations

Aldrin-Kirk, Patrick, Malin Åkerblom, Tiago Cardoso, et al.. (2021). A novel two-factor monosynaptic TRIO tracing method for assessment of circuit integration of hESC-derived dopamine transplants. Stem Cell Reports. 17(1). 159–172. 7 indexed citations

Nolbrant, Sara, et al.. (2021). Neural tube patterning: From a minimal model for rostrocaudal patterning toward an integrated 3D model. iScience. 24(6). 102559–102559. 2 indexed citations

Tiklová, Katarína, Sara Nolbrant, Alessandro Fiorenzano, et al.. (2020). Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease. Nature Communications. 11(1). 2434–2434. 74 indexed citations

Nolbrant, Sara, Deirdre B. Hoban, Andreas Bruzelius, et al.. (2020). Direct Reprogramming of Human Fetal- and Stem Cell-Derived Glial Progenitor Cells into Midbrain Dopaminergic Neurons. Stem Cell Reports. 15(4). 869–882. 20 indexed citations

Davidsson, Marcus, Gang Wang, Patrick Aldrin-Kirk, et al.. (2019). A systematic capsid evolution approach performed in vivo for the design of AAV vectors with tailored properties and tropism. Proceedings of the National Academy of Sciences. 116(52). 27053–27062. 106 indexed citations

Tiklová, Katarína, Åsa K. Björklund, Laura Lahti, et al.. (2019). Single-cell RNA sequencing reveals midbrain dopamine neuron diversity emerging during mouse brain development. Nature Communications. 10(1). 581–581. 181 indexed citations

Adler, Andrew F., Tiago Cardoso, Sara Nolbrant, et al.. (2019). hESC-Derived Dopaminergic Transplants Integrate into Basal Ganglia Circuitry in a Preclinical Model of Parkinson’s Disease. Cell Reports. 28(13). 3462–3473.e5. 71 indexed citations

10.

Brattås, Per Ludvik, Marie E. Jönsson, Diahann A. M. Atacho, et al.. (2019). Profiling of lincRNAs in human pluripotent stem cell derived forebrain neural progenitor cells. Heliyon. 6(1). e03067–e03067. 8 indexed citations

11.

Cardoso, Tiago, Andrew F. Adler, Bengt Mattsson, et al.. (2018). Target‐specific forebrain projections and appropriate synaptic inputs of hESC‐derived dopamine neurons grafted to the midbrain of parkinsonian rats. The Journal of Comparative Neurology. 526(13). 2133–2146. 52 indexed citations

12.

Davidsson, Marcus, Gang Wang, Patrick Aldrin-Kirk, et al.. (2018). Barcoded Rational AAV Vector Evolution Enables Systematic In Vivo Mapping of Peptide Binding Motifs. SSRN Electronic Journal. 4 indexed citations

13.

Nolbrant, Sara, Andreas Heuer, Malin Parmar, & Agnete Kirkeby. (2017). Generation of high-purity human ventral midbrain dopaminergic progenitors for in vitro maturation and intracerebral transplantation. Nature Protocols. 12(9). 1962–1979. 164 indexed citations

14.

Kee, Nigel, Nikolaos Volakakis, Agnete Kirkeby, et al.. (2016). Single-Cell Analysis Reveals a Close Relationship between Differentiating Dopamine and Subthalamic Nucleus Neuronal Lineages. Cell stem cell. 20(1). 29–40. 105 indexed citations

15.

Kirkeby, Agnete, Sara Nolbrant, Katarína Tiklová, et al.. (2016). Predictive Markers Guide Differentiation to Improve Graft Outcome in Clinical Translation of hESC-Based Therapy for Parkinson’s Disease. Cell stem cell. 20(1). 135–148. 189 indexed citations

16.

Braun, Sebastian, Falk Hertwig, Sara Nolbrant, et al.. (2016). The putative tumor suppressor gene EphA7 is a novel BMI-1 target. Oncotarget. 7(36). 58203–58217. 8 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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