A.R. Sampson

1.7k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

A.R. Sampson is a scholar working on Cellular and Molecular Neuroscience, Statistics and Probability and Biological Psychiatry. According to data from OpenAlex, A.R. Sampson has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Statistics and Probability and 4 papers in Biological Psychiatry. Recurrent topics in A.R. Sampson's work include Neuroscience and Neuropharmacology Research (5 papers), Tryptophan and brain disorders (4 papers) and GABA and Rice Research (4 papers). A.R. Sampson is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Tryptophan and brain disorders (4 papers) and GABA and Rice Research (4 papers). A.R. Sampson collaborates with scholars based in United States and United Kingdom. A.R. Sampson's co-authors include David A. Lewis, Joseph N. Pierri, David W. Volk, M.C. Austin, Ingram Olkin, Richard Whitehead, C. L. Edgar, Carrie Mohila, Mohamed Akil and H. Holly Bazmi and has published in prestigious journals such as American Journal of Psychiatry, Brain Research and Biometrics.

In The Last Decade

A.R. Sampson

17 papers receiving 1.2k citations

Hit Papers

Decreased Glutamic Acid Decarboxylase67 Messenger RNA Exp... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.R. Sampson United States 11 712 399 368 229 166 18 1.2k
Beata M. Barci United States 8 439 0.6× 348 0.9× 214 0.6× 170 0.7× 193 1.2× 8 931
Matthew J. Girgenti United States 20 547 0.8× 382 1.0× 270 0.7× 545 2.4× 107 0.6× 46 1.6k
Sinthuja Sivagnanasundaram Australia 10 318 0.4× 376 0.9× 185 0.5× 102 0.4× 96 0.6× 12 752
Glenn Konopaske United States 11 350 0.5× 262 0.7× 284 0.8× 182 0.8× 297 1.8× 13 984
Robert K. McClure United States 11 223 0.3× 149 0.4× 572 1.6× 150 0.7× 598 3.6× 14 1.2k
Matthew L. MacDonald United States 21 635 0.9× 772 1.9× 223 0.6× 361 1.6× 396 2.4× 44 1.7k
Tomo Okochi Japan 23 465 0.7× 481 1.2× 223 0.6× 286 1.2× 330 2.0× 58 1.5k
Seiichiro Jinde Japan 14 500 0.7× 252 0.6× 430 1.2× 39 0.2× 87 0.5× 28 911
Kristoffer Myczek United States 11 215 0.3× 235 0.6× 231 0.6× 45 0.2× 118 0.7× 13 1.0k
Gwyneth Zai Canada 23 325 0.5× 204 0.5× 459 1.2× 122 0.5× 440 2.7× 65 1.3k

Countries citing papers authored by A.R. Sampson

Since Specialization
Citations

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

Fields of papers citing papers by A.R. Sampson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.R. Sampson. 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 A.R. Sampson. The network helps show where A.R. Sampson may publish in the future.

Co-authorship network of co-authors of A.R. Sampson

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

All Works

18 of 18 papers shown
2.
Volk, David W., et al.. (2016). Cortical GABA markers identify a molecular subtype of psychotic and bipolar disorders. Psychological Medicine. 46(12). 2501–2512. 39 indexed citations
3.
Hoftman, Gil D., David W. Volk, H. Holly Bazmi, et al.. (2013). Altered Cortical Expression of GABA-Related Genes in Schizophrenia: Illness Progression vs Developmental Disturbance. Schizophrenia Bulletin. 41(1). 180–191. 116 indexed citations
4.
Asafu‐Adjei, Josephine, A.R. Sampson, Robert A. Sweet, & David A. Lewis. (2013). Adjusting for matching and covariates in linear discriminant analysis. Biostatistics. 14(4). 779–791. 5 indexed citations
5.
Verrico, Christopher D., et al.. (2011). Acquisition and baseline performance of working memory tasks by adolescent rhesus monkeys. Brain Research. 1378. 91–104. 19 indexed citations
6.
Heitz, Richard P., et al.. (2007). Evidence of Temporal Cortical Dysfunction in Rhesus Monkeys following Chronic Cocaine Self-Administration. Cerebral Cortex. 18(9). 2109–2116. 20 indexed citations
7.
Konopaske, Glenn, Robert A. Sweet, Qiang Wu, A.R. Sampson, & David A. Lewis. (2005). Regional specificity of chandelier neuron axon terminal alterations in schizophrenia. Neuroscience. 138(1). 189–196. 36 indexed citations
8.
Hashimoto, Takeshi, David W. Volk, Stephen M. Eggan, et al.. (2003). Altered gene expression in parvalbumin-containing GABA neurons in the prefrontal cortex of subjects with schizophrenia. Schizophrenia Research. 60(1). 71–71. 13 indexed citations
9.
Volk, David W., M.C. Austin, Joseph N. Pierri, A.R. Sampson, & David A. Lewis. (2000). Decreased Glutamic Acid Decarboxylase67 Messenger RNA Expression in a Subset of Prefrontal Cortical γ-Aminobutyric Acid Neurons in Subjects With Schizophrenia. Archives of General Psychiatry. 57(3). 237–237. 518 indexed citations breakdown →
10.
Akil, Mohamed, Joseph N. Pierri, Richard Whitehead, et al.. (1999). Lamina-Specific Alterations in the Dopamine Innervation of the Prefrontal Cortex in Schizophrenic Subjects. American Journal of Psychiatry. 156(10). 1580–1589. 279 indexed citations
11.
Strum, David P., A.R. Sampson, Jerrold H. May, & Luís G. Vargas. (1999). TYPE OF ANESTHESIA AFFECTS THE DURATION AND SCHEDULING OF SURGICAL PROCEDURES. Anesthesia & Analgesia. 88(2S). 47S–47S. 1 indexed citations
12.
Strum, David P., Luís G. Vargas, A.R. Sampson, & Jerrold H. May. (1999). INDIVIDUAL SURGEON VARIABILITY IS A MULTIPLICATIVE FUNCTION OF SURGICAL TIME. Anesthesia & Analgesia. 88(2S). 48S–48S. 2 indexed citations
13.
Olkin, Ingram & A.R. Sampson. (1998). Comparison of Meta-Analysis Versus Analysis of Variance of Individual Patient Data. Biometrics. 54(1). 317–317. 108 indexed citations
14.
Thorne, E. George, Laura Lufrano, Francis Boateng, & A.R. Sampson. (1996). Effect of tretinoin emollient cream on photodamaged skin: relationship between clinical improvement and skin irritation. British Journal of Dermatology. 135(4). 655–656. 7 indexed citations
15.
Barnhart, Huiman X. & A.R. Sampson. (1995). Multiple Population Models for Multivariate Random Length Data-With Applications in Clinical Trials. Biometrics. 51(1). 195–195. 9 indexed citations
16.
Block, H. W., Shiguang Qian, & A.R. Sampson. (1994). Structure Algorithms for Partially Ordered Isotonic Regression. Journal of Computational and Graphical Statistics. 3(3). 285–300. 22 indexed citations
17.
Block, H. W., et al.. (1992). Some new partial orderings on Sn and Sn×Sn. Journal of Statistical Planning and Inference. 30(3). 351–357. 3 indexed citations
18.
Block, H. W., et al.. (1990). Partial Orders on Permutations and Dependence Orderings on Bivariate Empirical Distributions. The Annals of Statistics. 18(4). 12 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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