S. E. Arnold

1.6k total citations
10 papers, 956 citations indexed

About

S. E. Arnold is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, S. E. Arnold has authored 10 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in S. E. Arnold's work include Alzheimer's disease research and treatments (2 papers), Schizophrenia research and treatment (2 papers) and Neonatal and fetal brain pathology (1 paper). S. E. Arnold is often cited by papers focused on Alzheimer's disease research and treatments (2 papers), Schizophrenia research and treatment (2 papers) and Neonatal and fetal brain pathology (1 paper). S. E. Arnold collaborates with scholars based in United States, United Kingdom and Singapore. S. E. Arnold's co-authors include John Q. Trojanowski, Lise Rioux, Rima Kaddurah‐Daouk, Chang-Gyu Hahn, Steve Rozen, Natalia Louneva, Hongjie Zhu, Noffisat O. Oki, Jinsong Tang and Alison A. Motsinger‐Reif and has published in prestigious journals such as Human Molecular Genetics, Schizophrenia Bulletin and Acta Neuropathologica.

In The Last Decade

S. E. Arnold

9 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. E. Arnold United States 7 368 333 271 267 207 10 956
Daniel Mackay United Kingdom 8 429 1.2× 236 0.7× 250 0.9× 269 1.0× 140 0.7× 11 1.1k
Theresa Young United States 9 410 1.1× 308 0.9× 217 0.8× 99 0.4× 173 0.8× 10 985
Akeo Kurumaji Japan 20 783 2.1× 551 1.7× 160 0.6× 129 0.5× 220 1.1× 58 1.4k
Ana D. Stan United States 8 404 1.1× 336 1.0× 337 1.2× 81 0.3× 233 1.1× 9 972
Masamichi Yokokura Japan 16 300 0.8× 248 0.7× 147 0.5× 269 1.0× 149 0.7× 29 906
Giovanni Conte Italy 10 474 1.3× 313 0.9× 270 1.0× 68 0.3× 219 1.1× 29 1.1k
Martilias S. Farrell United States 15 631 1.7× 575 1.7× 283 1.0× 87 0.3× 83 0.4× 25 1.3k
Glenn Konopaske United States 11 350 1.0× 262 0.8× 284 1.0× 62 0.2× 297 1.4× 13 984
G Chen United States 9 367 1.0× 408 1.2× 380 1.4× 68 0.3× 319 1.5× 10 1.2k
Sara Dunlop United States 8 267 0.7× 136 0.4× 309 1.1× 389 1.5× 130 0.6× 11 869

Countries citing papers authored by S. E. Arnold

Since Specialization
Citations

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

Fields of papers citing papers by S. E. Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. E. Arnold. 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 S. E. Arnold. The network helps show where S. E. Arnold may publish in the future.

Co-authorship network of co-authors of S. E. Arnold

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

All Works

10 of 10 papers shown
1.
Kaddurah‐Daouk, Rima, Hongjie Zhu, Swati Sharma, et al.. (2013). Alterations in metabolic pathways and networks in Alzheimer’s disease. Translational Psychiatry. 3(4). e244–e244. 165 indexed citations
2.
Tang, Jinsong, Romain Legros, Natalia Louneva, et al.. (2009). Dysbindin-1 in dorsolateral prefrontal cortex of schizophrenia cases is reduced in an isoform-specific manner unrelated to dysbindin-1 mRNA expression. Human Molecular Genetics. 18(20). 3851–3863. 98 indexed citations
3.
Myers, Amanda, Alan Pittman, Alice Zhao, et al.. (2006). The MAPT H1c risk haplotype is associated with increased expression of tau and especially of 4 repeat containing transcripts. Neurobiology of Disease. 25(3). 561–570. 183 indexed citations
4.
Overall, Karen L. & S. E. Arnold. (2006). Olfactory neuron biopsies in dogs: A feasibility pilot study. Applied Animal Behaviour Science. 105(4). 351–357. 7 indexed citations
5.
Arnold, S. E.. (2004). Bedside to Bench and Back Again: Translational Neuroscience Research and Geriatric Psychiatry. American Journal of Geriatric Psychiatry. 12(2). 122–125.
6.
Arnold, S. E.. (2004). Principles of Frontal Lobe Function. American Journal of Geriatric Psychiatry. 12(3). 331–332. 3 indexed citations
7.
Arnold, S. E. & Lise Rioux. (2001). Challenges, Status, and Opportunities for Studying Developmental Neuropathology in Adult Schizophrenia. Schizophrenia Bulletin. 27(3). 395–416. 29 indexed citations
8.
Arnold, S. E.. (1997). The medial temporal lobe in schizophrenia. Journal of Neuropsychiatry. 9(3). 460–470. 54 indexed citations
9.
Martinoli, Maria‐Grazia, John Q. Trojanowski, Maria Luiza Gava Schmidt, et al.. (1995). Association of apolipoprotein ?4 allele and neuropathologic findings in patients with dementia. Acta Neuropathologica. 90(3). 239–243. 1 indexed citations
10.
Arnold, S. E.. (1991). Some Cytoarchitectural Abnormalities of the Entorhinal Cortex in Schizophrenia. Archives of General Psychiatry. 48(7). 625–625. 416 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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