Alan C. Peterson

9.2k total citations · 1 hit paper
126 papers, 7.2k citations indexed

About

Alan C. Peterson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Alan C. Peterson has authored 126 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 27 papers in Cellular and Molecular Neuroscience and 22 papers in Genetics. Recurrent topics in Alan C. Peterson's work include Neurogenesis and neuroplasticity mechanisms (20 papers), Nerve injury and regeneration (18 papers) and Hereditary Neurological Disorders (11 papers). Alan C. Peterson is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (20 papers), Nerve injury and regeneration (18 papers) and Hereditary Neurological Disorders (11 papers). Alan C. Peterson collaborates with scholars based in Canada, United States and France. Alan C. Peterson's co-authors include Eric A. Shoubridge, Jack P. Jenuth, Carmen Sapienza, Christine E. Dunne, Jennifer Hewson, Matt Wheatley, Brent A. Reynolds, Samuel Weiss, Janet Rossant and Katherine Fu and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Alan C. Peterson

125 papers receiving 7.0k citations

Hit Papers

Multipotent CNS Stem Cells Are Present in the Adult Mamma... 1996 2026 2006 2016 1996 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan C. Peterson Canada 40 4.0k 1.9k 1.8k 1.2k 841 126 7.2k
Thomas Müller Germany 55 5.8k 1.5× 2.1k 1.1× 1.7k 0.9× 925 0.8× 964 1.1× 145 9.5k
Ann Logan United Kingdom 56 4.2k 1.1× 3.0k 1.6× 1.7k 1.0× 805 0.7× 765 0.9× 213 9.3k
Tetsumori Yamashima Japan 47 2.6k 0.7× 1.4k 0.7× 700 0.4× 306 0.3× 989 1.2× 206 7.1k
Klaus Addicks Germany 50 3.7k 0.9× 1.2k 0.6× 580 0.3× 686 0.6× 941 1.1× 199 8.4k
Marston Manthorpe United States 55 4.6k 1.1× 5.5k 2.9× 2.8k 1.6× 1.1k 0.9× 964 1.1× 121 10.1k
Thomas O. Crawford United States 59 5.4k 1.4× 2.3k 1.2× 554 0.3× 773 0.6× 952 1.1× 160 10.8k
Yun Li China 45 4.4k 1.1× 1.2k 0.6× 947 0.5× 1.3k 1.1× 549 0.7× 177 7.6k
Kjeld Møllgård Denmark 45 2.0k 0.5× 1.2k 0.6× 496 0.3× 477 0.4× 379 0.5× 129 5.1k
Minesuke Yokoyama Japan 35 4.7k 1.2× 1.0k 0.5× 377 0.2× 1.9k 1.6× 1.4k 1.7× 92 8.9k
Alexander Pfeifer Germany 60 6.8k 1.7× 1.7k 0.9× 667 0.4× 1.9k 1.6× 826 1.0× 187 11.5k

Countries citing papers authored by Alan C. Peterson

Since Specialization
Citations

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

Fields of papers citing papers by Alan C. Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan C. Peterson. 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 Alan C. Peterson. The network helps show where Alan C. Peterson may publish in the future.

Co-authorship network of co-authors of Alan C. Peterson

This figure shows the co-authorship network connecting the top 25 collaborators of Alan C. Peterson. A scholar is included among the top collaborators of Alan C. Peterson 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 Alan C. Peterson. Alan C. Peterson 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.
2.
Liu, Ming, Jinyi Zhang, Benjamin D. Pinder, et al.. (2021). WAVE2 suppresses mTOR activation to maintain T cell homeostasis and prevent autoimmunity. Science. 371(6536). 33 indexed citations
3.
Friedman, Hana, et al.. (2020). Transcriptional regulators of the Golli/myelin basic protein locus integrate additive and stealth activities. PLoS Genetics. 16(8). e1008752–e1008752. 5 indexed citations
4.
Popović, Natalija, Alan C. Peterson, Eva d’Hennezel, et al.. (2017). The common, autoimmunity-predisposing 620Arg > Trp variant of PTPN22 modulates macrophage function and morphology. Journal of Autoimmunity. 79. 74–83. 15 indexed citations
5.
Groh, Janos, Hana Friedman, Nadiya Orel, et al.. (2016). Pathogenicinflammation in the CNS of mice carrying humanPLP1mutations. Human Molecular Genetics. 25(21). ddw296–ddw296. 22 indexed citations
6.
Bergès, Raphaël, Julien Balzeau, Alan C. Peterson, & Joël Eyer. (2012). A Tubulin Binding Peptide Targets Glioma Cells Disrupting Their Microtubules, Blocking Migration, and Inducing Apoptosis. Molecular Therapy. 20(7). 1367–1377. 49 indexed citations
7.
Fulton, Debra L., Éric Denarier, Hana Friedman, Wyeth W. Wasserman, & Alan C. Peterson. (2011). Towards resolving the transcription factor network controlling myelin gene expression. Nucleic Acids Research. 39(18). 7974–7991. 17 indexed citations
8.
Zhang, Jinyi, Naima Zahir, Xianwang Meng, et al.. (2011). The autoimmune disease–associated PTPN22 variant promotes calpain-mediated Lyp/Pep degradation associated with lymphocyte and dendritic cell hyperresponsiveness. Nature Genetics. 43(9). 902–907. 196 indexed citations
9.
Giralt, Albert, Hana Friedman, Noelia Urbán, et al.. (2010). BDNF regulation under GFAP promoter provides engineered astrocytes as a new approach for long-term protection in Huntington's disease. Gene Therapy. 17(10). 1294–1308. 85 indexed citations
10.
Luchman, H. Artee, Hana Friedman, Michelle L. Villemaire, Alan C. Peterson, & Frank R. Jirik. (2008). Temporally controlled prostate epithelium‐specific gene alterations. genesis. 46(4). 229–234. 11 indexed citations
11.
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Forsberg‐Nilsson, Karin, Anna Erlandsson, Xiaoqun Zhang, et al.. (2003). Oligodendrocyte precursor hypercellularity and abnormal retina development in mice overexpressing PDGF‐B in myelinating tracts. Glia. 41(3). 276–289. 15 indexed citations
14.
Ménard, Catherine, Annie Paquin, Doron Lederfein, et al.. (2002). An Essential Role for a MEK-C/EBP Pathway during Growth Factor-Regulated Cortical Neurogenesis. Neuron. 36(4). 597–610. 170 indexed citations
15.
Forghani, Reza, et al.. (1999). Preparation of nuclear extracts from myelinating Schwann cells. Journal of Neuroscience Methods. 89(2). 129–132. 3 indexed citations
16.
Trapp, Bruce D., et al.. (1998). Myelin associated glycoprotein modulates glia-axon contact in vivo. Journal of Neuroscience Research. 51(2). 210–217. 47 indexed citations
17.
Jenuth, Jack P., Alan C. Peterson, & Eric A. Shoubridge. (1997). Tissue-specific selection for different mtDNA genotypes in heteroplasmic mice. Nature Genetics. 16(1). 93–95. 302 indexed citations
18.
Jenuth, Jack P., Alan C. Peterson, Katherine Fu, & Eric A. Shoubridge. (1996). Random genetic drift in the female germline explains the rapid segregation of mammalian mitochondrial DNA. Nature Genetics. 14(2). 146–151. 445 indexed citations
19.
Hallauer, Patricia L., Kenneth E.M. Hastings, & Alan C. Peterson. (1988). Fast Skeletal Muscle-Specific Expression of a Quail Troponin I Gene in Transgenic Mice. Molecular and Cellular Biology. 8(12). 5072–5079. 4 indexed citations
20.
Peterson, Alan C., et al.. (1972). Analysis of cleft palate induction by a glucocorticoid in mice, an application of the egg transfer technique in teratology. Abstr.. Birth Defects Research. 6(1). 119–120. 11 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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