Charmaine Lang

839 total citations
7 papers, 578 citations indexed

About

Charmaine Lang is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Charmaine Lang has authored 7 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Charmaine Lang's work include Pluripotent Stem Cells Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and CRISPR and Genetic Engineering (3 papers). Charmaine Lang is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and CRISPR and Genetic Engineering (3 papers). Charmaine Lang collaborates with scholars based in United Kingdom, Australia and Denmark. Charmaine Lang's co-authors include Richard Wade‐Martins, Jane Vowles, Sally A. Cowley, Brent J. Ryan, Heather Booth, Hugo J. R. Fernandes, Rory Bowden, Caleb Webber, Helen Christian and George K. Tofaris and has published in prestigious journals such as Cell stem cell, Human Molecular Genetics and Progress in brain research.

In The Last Decade

Charmaine Lang

7 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charmaine Lang United Kingdom	6	298	277	208	187	119	7	578
Helle Bogetofte Denmark	11	275 0.9×	353 1.3×	206 1.0×	264 1.4×	119 1.0×	13	723
Dorien A. Roosen United States	8	244 0.8×	173 0.6×	153 0.7×	98 0.5×	115 1.0×	10	440
Leonidas Stefanis Greece	7	442 1.5×	261 0.9×	283 1.4×	211 1.1×	174 1.5×	10	735
Jennifer L. Badger United Kingdom	6	183 0.6×	204 0.7×	165 0.8×	124 0.7×	107 0.9×	7	440
Hazel Urwin United Kingdom	5	485 1.6×	333 1.2×	202 1.0×	92 0.5×	143 1.2×	5	712
Christelle Tesson France	10	208 0.7×	196 0.7×	125 0.6×	211 1.1×	88 0.7×	17	496
Melissa A. Hayes United States	5	198 0.7×	143 0.5×	179 0.9×	145 0.8×	114 1.0×	7	406
Elisabeth L. Moussaud-Lamodière United States	7	276 0.9×	265 1.0×	182 0.9×	122 0.7×	64 0.5×	7	591
Nathaniel Safren United States	12	312 1.0×	265 1.0×	76 0.4×	105 0.6×	99 0.8×	17	493
Sarah C. Izen United States	6	186 0.6×	102 0.4×	176 0.8×	143 0.8×	110 0.9×	9	379

Countries citing papers authored by Charmaine Lang

Since Specialization

Citations

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

Fields of papers citing papers by Charmaine Lang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charmaine Lang

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

All Works

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7 of 7 papers shown

Cramb, Kaitlyn M. L., Charmaine Lang, Dayne Beccano-Kelly, et al.. (2024). Early deficits in an in vitro striatal microcircuit model carrying the Parkinson’s GBA-N370S mutation. npj Parkinson s Disease. 10(1). 82–82. 4 indexed citations

Lang, Charmaine, et al.. (2019). What we can learn from iPSC-derived cellular models of Parkinson's disease. Progress in brain research. 252. 3–25. 9 indexed citations

Cherubini, Marta, Hugo J. R. Fernandes, Charmaine Lang, et al.. (2019). Cellular α-synuclein pathology is associated with bioenergetic dysfunction in Parkinson’s iPSC-derived dopamine neurons. Human Molecular Genetics. 28(12). 2001–2013. 103 indexed citations

Lang, Charmaine, Kieran R. Campbell, Brent J. Ryan, et al.. (2018). Single-Cell Sequencing of iPSC-Dopamine Neurons Reconstructs Disease Progression and Identifies HDAC4 as a Regulator of Parkinson Cell Phenotypes. Cell stem cell. 24(1). 93–106.e6. 106 indexed citations

Fernandes, Hugo J. R., Elizabeth M. Hartfield, Helen Christian, et al.. (2016). ER Stress and Autophagic Perturbations Lead to Elevated Extracellular α-Synuclein in GBA-N370S Parkinson's iPSC-Derived Dopamine Neurons. Stem Cell Reports. 6(3). 342–356. 275 indexed citations

Sandor, Cynthia, Paul Robertson, Charmaine Lang, et al.. (2016). Transcriptomic profiling of purified patient-derived dopamine neurons identifies convergent perturbations and therapeutics for Parkinson’s disease. Human Molecular Genetics. 26(3). ddw412–ddw412. 51 indexed citations

Protter, David S.W., Charmaine Lang, & Antony A. Cooper. (2012). αSynuclein and Mitochondrial Dysfunction: A Pathogenic Partnership in Parkinson’s Disease?. Parkinson s Disease. 2012. 1–12. 30 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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