Morgan Newman

1.9k total citations
45 papers, 1.2k citations indexed

About

Morgan Newman is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Morgan Newman has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Physiology and 14 papers in Cell Biology. Recurrent topics in Morgan Newman's work include Alzheimer's disease research and treatments (17 papers), Zebrafish Biomedical Research Applications (9 papers) and RNA Research and Splicing (7 papers). Morgan Newman is often cited by papers focused on Alzheimer's disease research and treatments (17 papers), Zebrafish Biomedical Research Applications (9 papers) and RNA Research and Splicing (7 papers). Morgan Newman collaborates with scholars based in Australia, United States and China. Morgan Newman's co-authors include Michael Lardelli, Giuseppe Verdile, Ralph N. Martins, Ian Musgrave, Seyyed Hani Moussavi Nik, Esmaeil Ebrahimie, Eleanor Feingold, Bernard G. Forget, Dorothy Tuan and S Weissman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Human Molecular Genetics.

In The Last Decade

Morgan Newman

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morgan Newman Australia 21 519 419 389 207 174 45 1.2k
Nadia Soussi‐Yanicostas France 25 824 1.6× 361 0.9× 225 0.6× 177 0.9× 436 2.5× 52 1.8k
Qing Bai United States 25 553 1.1× 383 0.9× 191 0.5× 233 1.1× 344 2.0× 61 1.5k
Aaron Voigt Germany 24 1.0k 2.0× 329 0.8× 362 0.9× 130 0.6× 526 3.0× 44 1.9k
Elio Messi Italy 23 723 1.4× 281 0.7× 205 0.5× 54 0.3× 281 1.6× 45 1.7k
Maria Teresa Fiorenza Italy 26 927 1.8× 139 0.3× 407 1.0× 85 0.4× 147 0.8× 56 1.7k
Diego E. Rincón-Limas United States 22 1.1k 2.1× 314 0.7× 404 1.0× 170 0.8× 327 1.9× 55 1.6k
Rime Madani Switzerland 16 584 1.1× 221 0.5× 279 0.7× 224 1.1× 464 2.7× 25 1.6k
J. Alex Parker Canada 25 1.3k 2.5× 287 0.7× 494 1.3× 141 0.7× 578 3.3× 51 2.5k
Manish Jaiswal United States 22 1.3k 2.5× 450 1.1× 314 0.8× 137 0.7× 467 2.7× 31 2.0k
Olaf Goldbaum Germany 22 696 1.3× 250 0.6× 398 1.0× 203 1.0× 236 1.4× 24 1.2k

Countries citing papers authored by Morgan Newman

Since Specialization
Citations

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

Fields of papers citing papers by Morgan Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morgan Newman

This figure shows the co-authorship network connecting the top 25 collaborators of Morgan Newman. A scholar is included among the top collaborators of Morgan Newman 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 Morgan Newman. Morgan Newman 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.
Massad, L. Stewart, Megan A. Clarke, Rebecca B. Perkins, et al.. (2025). Applying Results of Extended Genotyping to Management of Positive Cervicovaginal Human Papillomavirus Test Results: Enduring Guidelines. Journal of Lower Genital Tract Disease. 29(2). 134–143. 10 indexed citations
2.
3.
Newman, Morgan, et al.. (2021). Brain transcriptomes of zebrafish and mouse Alzheimer's disease knock-in models imply early disrupted energy metabolism. Disease Models & Mechanisms. 15(1). 7 indexed citations
4.
Pederson, Stephen, et al.. (2021). In-Frame and Frameshift Mutations in Zebrafish Presenilin 2 Affect Different Cellular Functions in Young Adult Brains. Journal of Alzheimer s Disease Reports. 5(1). 395–404. 7 indexed citations
5.
Newman, Morgan, Seyyed Hani Moussavi Nik, Greg T. Sutherland, et al.. (2020). Accelerated loss of hypoxia response in zebrafish with familial Alzheimer’s disease-like mutation of presenilin 1. Human Molecular Genetics. 29(14). 2379–2394. 11 indexed citations
6.
7.
Newman, Morgan, et al.. (2020). Sorting Out the Role of the Sortilin-Related Receptor 1 in Alzheimer’s Disease. Journal of Alzheimer s Disease Reports. 4(1). 123–140. 22 indexed citations
8.
Newman, Morgan, Jan Kaslin, Alon M. Douek, et al.. (2020). Accelerated brain aging towards transcriptional inversion in a zebrafish model of the K115fs mutation of human PSEN2. PLoS ONE. 15(1). e0227258–e0227258. 20 indexed citations
9.
10.
Jiang, Haowei, Morgan Newman, & Michael Lardelli. (2018). The zebrafish orthologue of familial Alzheimer’s disease gene PRESENILIN 2 is required for normal adult melanotic skin pigmentation. PLoS ONE. 13(10). e0206155–e0206155. 20 indexed citations
11.
Corbett, Mark, Clare L. van Eyk, Dani L. Webber, et al.. (2018). Pathogenic copy number variants that affect gene expression contribute to genomic burden in cerebral palsy. npj Genomic Medicine. 3(1). 33–33. 27 indexed citations
12.
Lumsden, Amanda L., Jack T. Rogers, Shohreh Majd, et al.. (2018). Dysregulation of Neuronal Iron Homeostasis as an Alternative Unifying Effect of Mutations Causing Familial Alzheimer’s Disease. Frontiers in Neuroscience. 12. 533–533. 36 indexed citations
13.
Ebrahimie, Esmaeil, et al.. (2017). Gene Ontology-Based Analysis of Zebrafish Omics Data Using the Web Tool Comparative Gene Ontology. Zebrafish. 14(5). 492–494. 13 indexed citations
14.
Ganesan, Swamynathan, Seyyed Hani Moussavi Nik, Morgan Newman, & Michael Lardelli. (2014). Identification and expression analysis of the zebrafish orthologues of the mammalian MAP1LC3 gene family. Experimental Cell Research. 328(1). 228–237. 12 indexed citations
15.
Newman, Morgan, Giuseppe Verdile, Seyyed Hani Moussavi Nik, et al.. (2013). Differential, dominant activation and inhibition of Notch signalling and APP cleavage by truncations of PSEN1 in human disease. Human Molecular Genetics. 23(3). 602–617. 40 indexed citations
16.
Sharman, Matthew J., Seyyed Hani Moussavi Nik, Simon M. Laws, et al.. (2013). The Guinea Pig as a Model for Sporadic Alzheimer’s Disease (AD): The Impact of Cholesterol Intake on Expression of AD-Related Genes. PLoS ONE. 8(6). e66235–e66235. 73 indexed citations
17.
Newman, Morgan, et al.. (2010). A Zebrafish Melanophore Model of Amyloidβ Toxicity. Zebrafish. 7(2). 155–159. 17 indexed citations
18.
Nornes, Svanhild, Morgan Newman, Simon Wells, et al.. (2009). Independent and cooperative action of Psen2 with Psen1 in zebrafish embryos. Experimental Cell Research. 315(16). 2791–2801. 38 indexed citations
19.
Newman, Morgan, Ian Musgrave, & Michael Lardelli. (2006). Alzheimer disease: Amyloidogenesis, the presenilins and animal models. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1772(3). 285–297. 105 indexed citations
20.
Browne, Patrick, Morgan Newman, Burl R. Don, et al.. (1971). BAZ volume 4 issue 3 Cover and Front matter. Bulletin of the Australian Mathematical Society. 4(3). f1–f2. 1 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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