A. Dick

3.3k total citations · 2 hit papers
27 papers, 2.6k citations indexed

About

A. Dick is a scholar working on Materials Chemistry, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, A. Dick has authored 27 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 6 papers in Molecular Biology and 6 papers in Condensed Matter Physics. Recurrent topics in A. Dick's work include Neuroscience and Neuropharmacology Research (4 papers), Microstructure and mechanical properties (4 papers) and Stress Responses and Cortisol (3 papers). A. Dick is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Microstructure and mechanical properties (4 papers) and Stress Responses and Cortisol (3 papers). A. Dick collaborates with scholars based in Germany, Australia and United States. A. Dick's co-authors include Jörg Neugebauer, David L. Olmsted, Pratyush Tiwary, Maarten de Jong, Axel van de Walle, Dongwon Shin, Zi‐Kui Liu, Long‐Qing Chen, Mark Asta and Yi Wang and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Physical Review B.

In The Last Decade

A. Dick

27 papers receiving 2.6k citations

Hit Papers

Efficient stochastic generation of special quasirandom st... 2012 2026 2016 2021 2013 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Dick Germany 16 1.4k 1.3k 494 429 366 27 2.6k
Honghui Xu China 30 1.5k 1.1× 2.3k 1.7× 234 0.5× 1.2k 2.8× 137 0.4× 138 3.4k
Lijun Jiang China 32 2.8k 2.1× 690 0.5× 201 0.4× 209 0.5× 145 0.4× 164 3.4k
K. Aoki Japan 31 1.8k 1.3× 1.8k 1.3× 64 0.1× 157 0.4× 614 1.7× 138 3.0k
Engang Fu China 40 3.7k 2.7× 1.6k 1.2× 74 0.1× 399 0.9× 624 1.7× 181 5.5k
Shao‐Bo Mi China 28 1.5k 1.1× 285 0.2× 182 0.4× 114 0.3× 865 2.4× 88 2.7k
Nagayasu Oshima Japan 23 552 0.4× 427 0.3× 45 0.1× 147 0.3× 207 0.6× 149 1.9k
A.J. Morton Australia 24 1.5k 1.1× 1.8k 1.4× 1.4k 2.8× 859 2.0× 84 0.2× 62 2.6k
H.‐E. Schaefer Germany 26 1.3k 1.0× 958 0.7× 31 0.1× 85 0.2× 319 0.9× 84 2.2k
Susanne Schneider Germany 18 821 0.6× 754 0.6× 57 0.1× 47 0.1× 192 0.5× 55 1.5k
Meijie Tang United States 22 2.2k 1.6× 678 0.5× 57 0.1× 82 0.2× 120 0.3× 40 2.9k

Countries citing papers authored by A. Dick

Since Specialization
Citations

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

Fields of papers citing papers by A. Dick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Dick

This figure shows the co-authorship network connecting the top 25 collaborators of A. Dick. A scholar is included among the top collaborators of A. Dick 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. Dick. A. Dick 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.
Kos, Aron, Juan Pablo López, Joeri Bordes, et al.. (2023). Early life adversity shapes social subordination and cell type–specific transcriptomic patterning in the ventral hippocampus. Science Advances. 9(48). eadj3793–eadj3793. 18 indexed citations
2.
Dick, A. & Alon Chen. (2021). The role of TET proteins in stress-induced neuroepigenetic and behavioural adaptations. Neurobiology of Stress. 15. 100352–100352. 7 indexed citations
3.
Dick, A., et al.. (2019). Adenosine-to-Inosine RNA Editing Within Corticolimbic Brain Regions Is Regulated in Response to Chronic Social Defeat Stress in Mice. Frontiers in Psychiatry. 10. 277–277. 13 indexed citations
4.
Dick, A. & Nadine Provençal. (2018). Central Neuroepigenetic Regulation of the Hypothalamic–Pituitary–Adrenal Axis. Progress in molecular biology and translational science. 158. 105–127. 12 indexed citations
5.
Hack, Laura M., A. Dick, & Nadine Provençal. (2016). Epigenetic mechanisms involved in the effects of stress exposure: focus on 5-hydroxymethylcytosine: Table 1:. Current Zoology. 2(3). dvw016–dvw016. 12 indexed citations
6.
7.
Tan, Shawn Zheng Kai, Despina E. Ganella, A. Dick, et al.. (2015). Spatial Learning Requires mGlu5 Signalling in the Dorsal Hippocampus. Neurochemical Research. 40(6). 1303–1310. 11 indexed citations
8.
Dick, A., et al.. (2015). Chronic intermittent toluene inhalation in adolescent rats results in metabolic dysfunction with altered glucose homeostasis. British Journal of Pharmacology. 172(21). 5174–5187. 18 indexed citations
9.
Dick, A., Andrew J. Lawrence, & Jhodie R. Duncan. (2014). Chronic intermittent toluene inhalation initiated during adolescence in rats does not alter voluntary consumption of ethanol in adulthood. Alcohol. 48(6). 561–569. 5 indexed citations
10.
Walle, Axel van de, Pratyush Tiwary, Maarten de Jong, et al.. (2013). Efficient stochastic generation of special quasirandom structures. Calphad. 42. 13–18. 1242 indexed citations breakdown →
11.
Dick, A., et al.. (2013). Specific impairments in instrumental learning following chronic intermittent toluene inhalation in adolescent rats. Psychopharmacology. 231(8). 1531–1542. 13 indexed citations
12.
Duncan, Jhodie R., A. Dick, Gary F. Egan, et al.. (2012). Adolescent Toluene Inhalation in Rats Affects White Matter Maturation with the Potential for Recovery Following Abstinence. PLoS ONE. 7(9). e44790–e44790. 26 indexed citations
13.
Zhu, Li, Martin Friák, A. Dick, et al.. (2012). First-principles study of the thermodynamic and elastic properties of eutectic Fe–Ti alloys. Acta Materialia. 60(4). 1594–1602. 40 indexed citations
14.
Sandlöbes, Stefanie, Martin Friák, Stefan Zaefferer, et al.. (2012). The relation between ductility and stacking fault energies in Mg and Mg–Y alloys. Acta Materialia. 60(6-7). 3011–3021. 526 indexed citations breakdown →
15.
Körmann, Fritz, A. Dick, Blazej Grabowski, Tilmann Hickel, & Jörg Neugebauer. (2012). Atomic forces at finite magnetic temperatures: Phonons in paramagnetic iron. Physical Review B. 85(12). 112 indexed citations
16.
Körmann, Fritz, A. Dick, Tilmann Hickel, & Jörg Neugebauer. (2011). Role of spin quantization in determining the thermodynamic properties of magnetic transition metals. Physical Review B. 83(16). 45 indexed citations
17.
Pezold, J. von, et al.. (2011). Orientational ordering of interstitial atoms and martensite formation in dilute Fe-based solid solutions. Physical Review B. 83(18). 43 indexed citations
18.
Körmann, Fritz, A. Dick, Tilmann Hickel, & Jörg Neugebauer. (2010). Rescaled Monte Carlo approach for magnetic systems:Ab initiothermodynamics of bcc iron. Physical Review B. 81(13). 52 indexed citations
19.
Körmann, Fritz, A. Dick, Blazej Grabowski, et al.. (2008). Free energy of bcc iron: Integratedab initioderivation of vibrational, electronic, and magnetic contributions. Physical Review B. 78(3). 143 indexed citations
20.
Pascual, José Ignacio, et al.. (2006). Bulk Electronic Structure of Metals Resolved with Scanning Tunneling Microscopy. Physical Review Letters. 96(4). 46801–46801. 14 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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