Chris Armoskus

811 total citations
8 papers, 201 citations indexed

About

Chris Armoskus is a scholar working on Molecular Biology, Genetics and Developmental Biology. According to data from OpenAlex, Chris Armoskus has authored 8 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 1 paper in Developmental Biology. Recurrent topics in Chris Armoskus's work include Genetic Associations and Epidemiology (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and RNA Research and Splicing (3 papers). Chris Armoskus is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and RNA Research and Splicing (3 papers). Chris Armoskus collaborates with scholars based in United States, Russia and United Kingdom. Chris Armoskus's co-authors include Oleg V. Evgrafov, Houng‐Wei Tsai, James A. Knowles, Kai Wang, Tade Souaiaia, Marc P. Forrest, Abolfazl Doostparast Torshizi, Jubao Duan, Adrian Camarena and Hanwen Zhang and has published in prestigious journals such as PLoS ONE, Biological Psychiatry and Brain Research.

In The Last Decade

Chris Armoskus

8 papers receiving 198 citations

Peers

Chris Armoskus

MB

GENET

PHYSI

CR

CMN

Naosuke Hoshina Japan

Charlotte Vanacker United States

Sara Trova Italy

Mohammad Saharul Islam Japan

Shuping Wen Germany

Yuriko Mishima Japan

Apurva S. Chitre United States

Kari M. Ersland Norway

Olfa Khalfallah France

Toomas Jagomäe Estonia

Naosuke Hoshina Japan

Chris Armoskus

142 ×1.2

MB

54 ×0.7

GENET

23 ×1.0

PHYSI

14 ×0.7

CR

71 ×4.2

CMN

Citations per year, relative to Chris Armoskus Chris Armoskus (= 1×) peers Naosuke Hoshina

Countries citing papers authored by Chris Armoskus

Since Specialization

Citations

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

Fields of papers citing papers by Chris Armoskus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Armoskus

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

All Works

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8 of 8 papers shown

1.

Evgrafov, Oleg V., Chris Armoskus, Bozena Wrobel, et al.. (2020). Gene Expression in Patient-Derived Neural Progenitors Implicates WNT5A Signaling in the Etiology of Schizophrenia. Biological Psychiatry. 88(3). 236–247. 18 indexed citations

2.

Torshizi, Abolfazl Doostparast, Chris Armoskus, Hanwen Zhang, et al.. (2019). Deconvolution of transcriptional networks identifies TCF4 as a master regulator in schizophrenia. Science Advances. 5(9). eaau4139–eaau4139. 40 indexed citations

3.

Franklin, Michael, et al.. (2019). Androgenic regulation of sexually dimorphic expression of RNA binding motif protein 48 in the developing mouse cortex and hippocampus. International Journal of Developmental Neuroscience. 78(1). 33–44. 5 indexed citations

4.

Igolkina, Anna A., Chris Armoskus, Jeremy R. B. Newman, et al.. (2018). Analysis of Gene Expression Variance in Schizophrenia Using Structural Equation Modeling. Frontiers in Molecular Neuroscience. 11. 192–192. 18 indexed citations

5.

Rhie, Suhn K., Shannon Schreiner, Heather Witt, et al.. (2018). Using 3D epigenomic maps of primary olfactory neuronal cells from living individuals to understand gene regulation. Science Advances. 4(12). eaav8550–eaav8550. 33 indexed citations

6.

Arpawong, Thalida Em, Neil Pendleton, Krisztina Mekli, et al.. (2017). Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort. PLoS ONE. 12(8). e0182448–e0182448. 27 indexed citations

7.

Armoskus, Chris, et al.. (2014). Identification of sexually dimorphic genes in the neonatal mouse cortex and hippocampus. Brain Research. 1562. 23–38. 50 indexed citations

8.

Armoskus, Chris. (2013). Effects of Prenatal Testosterone Exposure on Sexually Dimorphic Gene Expression in the Neonatal Mouse Cortex and Hippocampus. PubMed. 5(3). 1000139–1000139. 10 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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