Richard Dang

564 total citations
7 papers, 261 citations indexed

About

Richard Dang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Richard Dang has authored 7 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Social Psychology. Recurrent topics in Richard Dang's work include Histone Deacetylase Inhibitors Research (3 papers), Neuroendocrine regulation and behavior (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). Richard Dang is often cited by papers focused on Histone Deacetylase Inhibitors Research (3 papers), Neuroendocrine regulation and behavior (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). Richard Dang collaborates with scholars based in United States, Netherlands and Bulgaria. Richard Dang's co-authors include Marcelo A. Wood, George A. Rogge, Harsimran Singh, Dina P. Matheos, Yasaman Alaghband, Janine L. Kwapis, Alberto J. López, André O. White, Sakura Nakauchi and Katumi Sumikawa and has published in prestigious journals such as Journal of Neuroscience, Neuropsychopharmacology and Learning & Memory.

In The Last Decade

Richard Dang

7 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Dang United States 7 193 104 66 60 25 7 261
Seungnam Han South Korea 6 227 1.2× 164 1.6× 70 1.1× 38 0.6× 19 0.8× 6 349
Lucile Marion‐Poll France 9 154 0.8× 131 1.3× 50 0.8× 42 0.7× 10 0.4× 13 268
Zachary Flood United States 4 258 1.3× 56 0.5× 65 1.0× 38 0.6× 13 0.5× 5 335
Svitlana V. Bach United States 7 225 1.2× 101 1.0× 83 1.3× 29 0.5× 29 1.2× 13 336
Fernando J. Bustos Chile 10 216 1.1× 110 1.1× 72 1.1× 51 0.8× 28 1.1× 24 376
David V.C. Brito Germany 9 144 0.7× 68 0.7× 81 1.2× 59 1.0× 17 0.7× 15 244
Aaron Katzman United States 9 73 0.4× 87 0.8× 58 0.9× 40 0.7× 19 0.8× 9 230
Tine Pooters Belgium 8 124 0.6× 84 0.8× 74 1.1× 86 1.4× 22 0.9× 8 233
Jessica R. Edelson United States 10 154 0.8× 81 0.8× 42 0.6× 45 0.8× 86 3.4× 11 355
Bibiana K. Y. Wong Canada 7 109 0.6× 96 0.9× 44 0.7× 18 0.3× 22 0.9× 9 245

Countries citing papers authored by Richard Dang

Since Specialization
Citations

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

Fields of papers citing papers by Richard Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Dang

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

All Works

7 of 7 papers shown
1.
Kwapis, Janine L., Yasaman Alaghband, Ashley A. Keiser, et al.. (2019). Aging mice show impaired memory updating in the novel OUL updating paradigm. Neuropsychopharmacology. 45(2). 337–346. 26 indexed citations
2.
Ciernia, Annie Vogel, Enikö A. Kramár, Dina P. Matheos, et al.. (2017). Mutation of neuron-specific chromatin remodeling subunit BAF53b: rescue of plasticity and memory by manipulating actin remodeling. Learning & Memory. 24(5). 199–209. 22 indexed citations
3.
Alaghband, Yasaman, Janine L. Kwapis, Alberto J. López, et al.. (2017). Distinct roles for the deacetylase domain of HDAC3 in the hippocampus and medial prefrontal cortex in the formation and extinction of memory. Neurobiology of Learning and Memory. 145. 94–104. 28 indexed citations
4.
Nakauchi, Sakura, et al.. (2016). Impaired function of α2-containing nicotinic acetylcholine receptors on oriens-lacunosum moleculare cells causes hippocampus-dependent memory impairments. Neurobiology of Learning and Memory. 136. 13–20. 14 indexed citations
5.
Kwapis, Janine L., Yasaman Alaghband, Alberto J. López, et al.. (2016). Context and Auditory Fear are Differentially Regulated by HDAC3 Activity in the Lateral and Basal Subnuclei of the Amygdala. Neuropsychopharmacology. 42(6). 1284–1294. 47 indexed citations
6.
Nakauchi, Sakura, Melissa Malvaez, Hailing Su, et al.. (2014). Early postnatal nicotine exposure causes hippocampus-dependent memory impairments in adolescent mice: Association with altered nicotinic cholinergic modulation of LTP, but not impaired LTP. Neurobiology of Learning and Memory. 118. 178–188. 22 indexed citations
7.
Rogge, George A., Harsimran Singh, Richard Dang, & Marcelo A. Wood. (2013). HDAC3 Is a Negative Regulator of Cocaine-Context-Associated Memory Formation. Journal of Neuroscience. 33(15). 6623–6632. 102 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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