Bronwen Connor

6.0k total citations
98 papers, 4.8k citations indexed

About

Bronwen Connor is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Bronwen Connor has authored 98 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cellular and Molecular Neuroscience, 39 papers in Molecular Biology and 39 papers in Developmental Neuroscience. Recurrent topics in Bronwen Connor's work include Neurogenesis and neuroplasticity mechanisms (39 papers), Pluripotent Stem Cells Research (24 papers) and Nerve injury and regeneration (22 papers). Bronwen Connor is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (39 papers), Pluripotent Stem Cells Research (24 papers) and Nerve injury and regeneration (22 papers). Bronwen Connor collaborates with scholars based in New Zealand, United States and Australia. Bronwen Connor's co-authors include Mike Dragunow, Richard L. M. Faull, Deborah Young, Maurice A. Curtis, Beth J. Synek, Yan Qiao, Stephanie M. Hughes, Ellen B. Penney, Michael Dragunow and Ailsa L. McGregor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Bronwen Connor

95 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bronwen Connor New Zealand 36 2.4k 1.7k 1.6k 746 629 98 4.8k
Hiroshi Funakoshi Japan 36 2.2k 0.9× 1.7k 1.0× 1.3k 0.8× 472 0.6× 352 0.6× 89 5.2k
Nicole Schaeren‐Wiemers Switzerland 40 1.6k 0.7× 2.3k 1.4× 1000 0.6× 580 0.8× 858 1.4× 81 5.2k
Charles L. Howe United States 37 1.7k 0.7× 1.6k 0.9× 712 0.4× 577 0.8× 772 1.2× 94 5.0k
Italo Mocchetti United States 45 2.7k 1.1× 2.4k 1.4× 955 0.6× 787 1.1× 1.2k 1.9× 153 5.9k
Akio Wanaka Japan 48 2.1k 0.9× 3.6k 2.1× 1.1k 0.7× 619 0.8× 695 1.1× 169 7.0k
Marc J. Ruitenberg Australia 40 1.8k 0.8× 1.2k 0.7× 1.1k 0.7× 437 0.6× 1.2k 2.0× 83 4.7k
Ji‐Eun Kim South Korea 41 2.5k 1.1× 3.2k 1.9× 1.4k 0.9× 604 0.8× 735 1.2× 181 6.8k
Monte J. Radeke United States 32 3.0k 1.3× 2.7k 1.6× 1.3k 0.8× 808 1.1× 497 0.8× 53 6.3k
Fernando J. Pitossi Argentina 35 1.5k 0.6× 1.8k 1.0× 1.1k 0.7× 607 0.8× 1.9k 3.1× 71 5.9k
Robert Blum Germany 38 1.9k 0.8× 2.7k 1.6× 1.2k 0.7× 524 0.7× 440 0.7× 138 6.2k

Countries citing papers authored by Bronwen Connor

Since Specialization
Citations

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

Fields of papers citing papers by Bronwen Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bronwen Connor

This figure shows the co-authorship network connecting the top 25 collaborators of Bronwen Connor. A scholar is included among the top collaborators of Bronwen Connor 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 Bronwen Connor. Bronwen Connor 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.
Gordon, David, et al.. (2024). Reprogrammed human lateral ganglionic eminence precursors generate striatal neurons and restore motor function in a rat model of Huntington’s disease. Stem Cell Research & Therapy. 15(1). 448–448. 2 indexed citations
2.
Derdak, Sophia, Julia Etzler, Sigismund Huck, et al.. (2024). Generation and Characterization of a Human Neuronal In Vitro Model for Rett Syndrome Using a Direct Reprogramming Method. Stem Cells and Development. 33(5-6). 128–142. 1 indexed citations
4.
Jones, Kathryn S., et al.. (2023). Reprogramming of adult human dermal fibroblasts to induced dorsal forebrain precursor cells maintains aging signatures. Frontiers in Cellular Neuroscience. 17. 1003188–1003188. 3 indexed citations
5.
Connor, Bronwen, et al.. (2023). Cell reprogramming for oligodendrocytes: A review of protocols and their applications to disease modeling and cell‐based remyelination therapies. Journal of Neuroscience Research. 101(6). 1000–1028. 12 indexed citations
6.
Connor, Bronwen, et al.. (2023). Directly reprogrammed fragile X syndrome dorsal forebrain precursor cells generate cortical neurons exhibiting impaired neuronal maturation. Frontiers in Cellular Neuroscience. 17. 1254412–1254412. 3 indexed citations
7.
Connor, Bronwen, et al.. (2022). Rat cortico-striatal sagittal organotypic slice cultures as ex vivo excitotoxic striatal lesion models. Heliyon. 8(9). e10819–e10819. 5 indexed citations
8.
Monk, Ruth, Kevin Lee, Kathryn S. Jones, & Bronwen Connor. (2021). Directly Reprogrammed Huntington's Disease Neural Precursor Cells Generate Striatal Neurons Exhibiting Aggregates and Impaired Neuronal Maturation. Stem Cells. 39(10). 1410–1422. 11 indexed citations
9.
Geiger, Johannes, et al.. (2021). Small Molecules Enhance Reprogramming of Adult Human Dermal Fibroblasts to Dorsal Forebrain Precursor Cells. Stem Cells and Development. 31(3-4). 78–89. 5 indexed citations
10.
Flamme, Anne Camille La, David Abernethy, Dalice Sim, et al.. (2020). Safety and acceptability of clozapine and risperidone in progressive multiple sclerosis: a phase I, randomised, blinded, placebo-controlled trial. BMJ Neurology Open. 2(1). e000060–e000060. 9 indexed citations
11.
Connor, Bronwen, et al.. (2018). Human Cortical Neuron Generation Using Cell Reprogramming: A Review of Recent Advances. Stem Cells and Development. 27(24). 1674–1692. 16 indexed citations
13.
McGregor, Ailsa L., et al.. (2013). IGF-I redirects doublecortin-positive cell migration in the normal adult rat brain. Neuroscience. 241. 106–115. 19 indexed citations
14.
Dottori, Mirella, et al.. (2012). Non-Viral Generation of Neural Precursor-like Cells from Adult Human Fibroblasts. PubMed. 8(3). 162–170. 37 indexed citations
15.
Maucksch, Christof, Elena M. Vazey, Renee Gordon, & Bronwen Connor. (2012). Stem cell‐based therapy for Huntington's disease. Journal of Cellular Biochemistry. 114(4). 754–763. 36 indexed citations
16.
Kells, Adrian P., Rebecca A. Henry, Stephanie M. Hughes, & Bronwen Connor. (2006). Verification of functional AAV-mediated neurotrophic and anti-apoptotic factor expression. Journal of Neuroscience Methods. 161(2). 291–300. 9 indexed citations
17.
Vazey, Elena M., Kevin Chen, Stephanie M. Hughes, & Bronwen Connor. (2006). Transplanted adult neural progenitor cells survive, differentiate and reduce motor function impairment in a rodent model of Huntington's disease. Experimental Neurology. 199(2). 384–396. 85 indexed citations
18.
Connor, Bronwen & Mike Dragunow. (1998). The role of neuronal growth factors in neurodegenerative disorders of the human brain. Brain Research Reviews. 27(1). 1–39. 460 indexed citations
19.
Dragunow, Mike, G.A. MacGibbon, P. Lawlor, et al.. (1997). Apoptosis, Neurotrophic Factors and Neurodegeneration. Reviews in the Neurosciences. 8(3-4). 223–65. 44 indexed citations
20.
Connor, Bronwen, et al.. (1991). CUTANEOUS MERCURY GRANULOMA. Australasian Journal of Dermatology. 32(3). 129–132. 9 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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