Amanda G. Chung

975 total citations · 1 hit paper
8 papers, 616 citations indexed

About

Amanda G. Chung is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Amanda G. Chung has authored 8 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in Amanda G. Chung's work include Salivary Gland Disorders and Functions (2 papers), Barrier Structure and Function Studies (1 paper) and Oral microbiology and periodontitis research (1 paper). Amanda G. Chung is often cited by papers focused on Salivary Gland Disorders and Functions (2 papers), Barrier Structure and Function Studies (1 paper) and Oral microbiology and periodontitis research (1 paper). Amanda G. Chung collaborates with scholars based in United States, Czechia and Germany. Amanda G. Chung's co-authors include Jonathan S. Weissman, Volker Hovestadt, Luke A. Gilbert, Joseph M. Replogle, Angela N. Pogson, Chen Jin, Manuel D. Leonetti, B Bernstein, James K. Nuñez and Gokul N. Ramadoss and has published in prestigious journals such as Cell, PLoS ONE and Genetics.

In The Last Decade

Amanda G. Chung

8 papers receiving 602 citations

Hit Papers

Genome-wide programmable transcriptional memory by CRISPR... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda G. Chung United States 7 433 91 62 59 45 8 616
Sarah J. Pfau United States 6 322 0.7× 56 0.6× 96 1.5× 33 0.6× 37 0.8× 8 575
Dalia Halawani United States 10 390 0.9× 39 0.4× 27 0.4× 86 1.5× 19 0.4× 16 627
Sofia B. Lizarraga United States 13 653 1.5× 144 1.6× 24 0.4× 106 1.8× 41 0.9× 21 866
Csilla Nemes Hungary 13 521 1.2× 79 0.9× 31 0.5× 102 1.7× 31 0.7× 26 836
Rebecca Petri Sweden 14 608 1.4× 84 0.9× 23 0.4× 79 1.3× 156 3.5× 16 806
Fernando J. Sallés United States 8 633 1.5× 65 0.7× 24 0.4× 75 1.3× 44 1.0× 10 797
Ibon Garitaonandia United States 15 541 1.2× 161 1.8× 18 0.3× 140 2.4× 28 0.6× 28 823
Shaun Teo United States 4 686 1.6× 170 1.9× 25 0.4× 109 1.8× 48 1.1× 4 784
Teresa Rivera Spain 20 608 1.4× 43 0.5× 96 1.5× 23 0.4× 186 4.1× 45 1.0k
Kambiz Mousavi United States 12 824 1.9× 91 1.0× 19 0.3× 137 2.3× 27 0.6× 14 1.0k

Countries citing papers authored by Amanda G. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Amanda G. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda G. Chung. 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 Amanda G. Chung. The network helps show where Amanda G. Chung may publish in the future.

Co-authorship network of co-authors of Amanda G. Chung

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

All Works

8 of 8 papers shown
1.
Nuñez, James K., Chen Jin, J. Zachery Cogan, et al.. (2021). Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing. Cell. 184(9). 2503–2519.e17. 433 indexed citations breakdown →
2.
Yang, Tao, et al.. (2018). Glial scars are permeable to the neurotoxic environment of chronic stroke infarcts. Neurobiology of Disease. 112. 63–78. 94 indexed citations
3.
Chung, Amanda G., Jennifer B. Frye, Eleni Constantopoulos, et al.. (2018). Liquefaction of the Brain following Stroke Shares a Similar Molecular and Morphological Profile with Atherosclerosis and Mediates Secondary Neurodegeneration in an Osteopontin-Dependent Mechanism. eNeuro. 5(5). ENEURO.0076–18.2018. 34 indexed citations
4.
Pezer, Željka, Amanda G. Chung, Robert C. Karn, & Christina M. Laukaitis. (2017). Analysis of Copy Number Variation in the Abp Gene Regions of Two House Mouse Subspecies Suggests Divergence during the Gene Family Expansions. Genome Biology and Evolution. 9(6). 5 indexed citations
5.
Chung, Amanda G., et al.. (2017). Studies of an Androgen-Binding Protein Knockout Corroborate a Role for Salivary ABP in Mouse Communication. Genetics. 205(4). 1517–1527. 14 indexed citations
6.
Holmes, Dawn E., et al.. (2015). The complete genome sequence and emendation of the hyperthermophilic, obligate iron-reducing archaeon “Geoglobus ahangari” strain 234T. Standards in Genomic Sciences. 10(1). 77–77. 14 indexed citations
7.
Karn, Robert C., Amanda G. Chung, & Christina M. Laukaitis. (2014). Did Androgen-Binding Protein Paralogs Undergo Neo- and/or Subfunctionalization as the Abp Gene Region Expanded in the Mouse Genome?. PLoS ONE. 9(12). e115454–e115454. 7 indexed citations
8.
Karn, Robert C., Amanda G. Chung, & Christina M. Laukaitis. (2013). Shared and Unique Proteins in Human, Mouse and Rat Saliva Proteomes: Footprints of Functional Adaptation. Proteomes. 1(3). 275–289. 15 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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