Daphne Quang

13 total papers · 1.5k total citations
5 papers, 995 citations indexed

About

Daphne Quang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Daphne Quang has authored 5 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Daphne Quang's work include Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Alzheimer's disease research and treatments (2 papers) and Receptor Mechanisms and Signaling (1 paper). Daphne Quang is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Alzheimer's disease research and treatments (2 papers) and Receptor Mechanisms and Signaling (1 paper). Daphne Quang collaborates with scholars based in United States, Israel and Argentina. Daphne Quang's co-authors include Abed AlFatah Mansour, Fred H. Gage, Sarah Fernandes, Stephen T. Johnston, Cooper W Bloyd, Hao Li, Xin Jin, J. Tiago Gonçalves, Sarah Parylak and Christopher K. Glass and has published in prestigious journals such as Cell, Nature Biotechnology and Brain Research.

In The Last Decade

Daphne Quang

4 papers receiving 979 citations

Hit Papers

An in vivo model of funct... 2018 2026 2020 2023 2018 2023 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daphne Quang 618 333 238 232 131 5 995
Cooper W Bloyd 612 1.0× 308 0.9× 260 1.1× 261 1.1× 101 0.8× 3 960
Nina S. Corsini 832 1.3× 353 1.1× 296 1.2× 274 1.2× 74 0.6× 10 1.2k
Rebecca M. Marton 581 0.9× 234 0.7× 305 1.3× 236 1.0× 148 1.1× 10 1000
Bruna Paulsen 806 1.3× 283 0.8× 217 0.9× 207 0.9× 61 0.5× 15 1.1k
Tomoki Otani 646 1.0× 300 0.9× 204 0.9× 208 0.9× 33 0.3× 6 917
Kimberly R. Cordes Metzler 751 1.2× 305 0.9× 205 0.9× 224 1.0× 46 0.4× 3 1.0k
Elisabeth M. Walczak 610 1.0× 260 0.8× 138 0.6× 182 0.8× 35 0.3× 8 897
Stefano L. Giandomenico 685 1.1× 257 0.8× 207 0.9× 233 1.0× 51 0.4× 9 952
Madeline G. Andrews 612 1.0× 184 0.6× 222 0.9× 141 0.6× 67 0.5× 18 947
Samuel Sances 643 1.0× 591 1.8× 108 0.5× 315 1.4× 215 1.6× 11 1.2k

Countries citing papers authored by Daphne Quang

Since Specialization
Citations

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

Fields of papers citing papers by Daphne Quang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daphne Quang

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

All Works

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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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