George M. Gibbons

1.0k total citations · 1 hit paper
8 papers, 653 citations indexed

About

George M. Gibbons is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, George M. Gibbons has authored 8 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in George M. Gibbons's work include Neuroscience and Neural Engineering (3 papers), Pluripotent Stem Cells Research (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). George M. Gibbons is often cited by papers focused on Neuroscience and Neural Engineering (3 papers), Pluripotent Stem Cells Research (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). George M. Gibbons collaborates with scholars based in United Kingdom, Czechia and Hungary. George M. Gibbons's co-authors include András Lakatos, Susanna B. Mierau, Ole Paulsen, Stefano L. Giandomenico, Laura Masullo, Jérôme Boulanger, Marco Tripodi, Timothy P.H. Sit, Magdalena Sutcliffe and Emmanuel Derivery and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Communications Biology.

In The Last Decade

George M. Gibbons

8 papers receiving 645 citations

Hit Papers

Cerebral organoids at the air–liquid interface generate d... 2019 2026 2021 2023 2019 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
George M. Gibbons United Kingdom 5 403 189 188 133 104 8 653
Neal D. Amin United States 11 596 1.5× 242 1.3× 236 1.3× 185 1.4× 69 0.7× 14 906
Sarah Nickels Luxembourg 12 359 0.9× 163 0.9× 209 1.1× 114 0.9× 161 1.5× 16 633
Madeline G. Andrews United States 15 632 1.6× 190 1.0× 143 0.8× 225 1.7× 41 0.4× 18 974
Bruna Paulsen Brazil 9 823 2.0× 283 1.5× 207 1.1× 221 1.7× 46 0.4× 15 1.1k
Cooper W Bloyd United States 3 619 1.5× 311 1.6× 262 1.4× 261 2.0× 42 0.4× 3 971
Daphne Quang United States 4 629 1.6× 337 1.8× 234 1.2× 239 1.8× 40 0.4× 5 1.0k
Renata Vieira de Sá Netherlands 9 398 1.0× 120 0.6× 185 1.0× 168 1.3× 255 2.5× 11 819
Sayuki Takara Japan 6 529 1.3× 80 0.4× 315 1.7× 112 0.8× 118 1.1× 8 703
Alessandro Fiorenzano Sweden 15 576 1.4× 120 0.6× 210 1.1× 101 0.8× 86 0.8× 29 817
Mark van den Hurk Australia 11 396 1.0× 111 0.6× 248 1.3× 83 0.6× 46 0.4× 11 602

Countries citing papers authored by George M. Gibbons

Since Specialization
Citations

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

Fields of papers citing papers by George M. Gibbons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George M. Gibbons. 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 George M. Gibbons. The network helps show where George M. Gibbons may publish in the future.

Co-authorship network of co-authors of George M. Gibbons

This figure shows the co-authorship network connecting the top 25 collaborators of George M. Gibbons. A scholar is included among the top collaborators of George M. Gibbons 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 George M. Gibbons. George M. Gibbons 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.
Sit, Timothy P.H., George M. Gibbons, Mahsa Khayat-Khoei, et al.. (2024). MEA-NAP: A flexible network analysis pipeline for neuronal 2D and 3D organoid multielectrode recordings. Cell Reports Methods. 4(11). 100901–100901. 6 indexed citations
2.
Dinan, Adam M., Shiho Torii, Hazel Stewart, et al.. (2024). Zika viruses encode 5′ upstream open reading frames affecting infection of human brain cells. Nature Communications. 15(1). 8822–8822. 2 indexed citations
3.
Szebényi, Kornélia, Veselina Petrova, Jana Turečková, et al.. (2024). Inhibition of PHLDA3 expression in human superoxide dismutase 1-mutant amyotrophic lateral sclerosis astrocytes protects against neurotoxicity. Brain Communications. 6(4). fcae244–fcae244. 1 indexed citations
4.
Szebényi, Kornélia, Inigo Barrio‐Hernandez, George M. Gibbons, et al.. (2023). A human proteogenomic-cellular framework identifies KIF5A as a modulator of astrocyte process integrity with relevance to ALS. Communications Biology. 6(1). 678–678. 4 indexed citations
5.
Szebényi, Kornélia, Yu Sun, George M. Gibbons, et al.. (2021). Human ALS/FTD brain organoid slice cultures display distinct early astrocyte and targetable neuronal pathology. Nature Neuroscience. 24(11). 1542–1554. 115 indexed citations
6.
Giandomenico, Stefano L., Susanna B. Mierau, George M. Gibbons, et al.. (2019). Cerebral organoids at the air–liquid interface generate diverse nerve tracts with functional output. Nature Neuroscience. 22(4). 669–679. 400 indexed citations breakdown →
7.
Zuppinger, Christian, et al.. (2017). Characterization of cytoskeleton features and maturation status of cultured human iPSC-derived cardiomyocytes. European Journal of Histochemistry. 61(2). 2763–2763. 28 indexed citations
8.
Tyzack, Giulia E., Claire E. Hall, Christopher R. Sibley, et al.. (2017). A neuroprotective astrocyte state is induced by neuronal signal EphB1 but fails in ALS models. Nature Communications. 8(1). 1164–1164. 97 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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