Daphne Quang

1.5k total citations · 2 hit papers
5 papers, 1.0k 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 1.0k 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 Alzheimer's disease research and treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Pharmacological Receptor Mechanisms and Effects (1 paper). Daphne Quang is often cited by papers focused on Alzheimer's disease research and treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Pharmacological Receptor Mechanisms and Effects (1 paper). Daphne Quang collaborates with scholars based in United States, Israel and Germany. Daphne Quang's co-authors include Abed AlFatah Mansour, Fred H. Gage, Sarah Parylak, J. Tiago Gonçalves, Hao Li, Sarah Fernandes, Cooper W Bloyd, Xin Jin, Stephen T. Johnston and Johannes C. M. Schlachetzki and has published in prestigious journals such as Cell, Nature Biotechnology and Brain Research.

In The Last Decade

Daphne Quang

4 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An in vivo model of functional and vascularized human brain organoids

2018 858 citations Abed AlFatah Mansour, J. Tiago Gonçalves et al. Nature Biotechnology profile →
An in vivo neuroimmune organoid model to study human microglia phenotypes

2023 131 citations Simon T. Schafer, Abed AlFatah Mansour et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daphne Quang United States	4	629	337	239	234	134	5	1.0k
Cooper W Bloyd United States	3	619 1.0×	311 0.9×	261 1.1×	262 1.1×	102 0.8×	3	971
Amanda J. Kedaigle United States	11	865 1.4×	269 0.8×	241 1.0×	243 1.0×	175 1.3×	14	1.3k
Nina S. Corsini Austria	9	855 1.4×	357 1.1×	299 1.3×	278 1.2×	75 0.6×	10	1.3k
Abed AlFatah Mansour United States	10	1.1k 1.8×	388 1.2×	307 1.3×	312 1.3×	147 1.1×	12	1.6k
Bruna Paulsen Brazil	9	823 1.3×	283 0.8×	221 0.9×	207 0.9×	62 0.5×	15	1.1k
Rebecca M. Marton United States	7	586 0.9×	239 0.7×	308 1.3×	237 1.0×	148 1.1×	10	1.0k
Philipp Wörsdörfer Germany	18	965 1.5×	240 0.7×	234 1.0×	263 1.1×	62 0.5×	32	1.3k
Madeline G. Andrews United States	15	632 1.0×	190 0.6×	225 0.9×	143 0.6×	71 0.5×	18	974
Sarah Fernandes United States	13	952 1.5×	368 1.1×	218 0.9×	281 1.2×	87 0.6×	21	1.5k
Mika Soen Japan	6	1.1k 1.8×	458 1.4×	406 1.7×	298 1.3×	51 0.4×	7	1.5k

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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5 of 5 papers shown

1.

Brown, Carolyn Nicole, et al.. (2025). Aβ impairs the LTP-related movement of endogenous CaMKII but not of exogenous GFP-CaMKII. Molecular Biology of the Cell. 36(5). ar60–ar60.

2.

Quang, Daphne, et al.. (2024). Altered metabolism and DAM-signatures in female brains and microglia with aging. Brain Research. 1829. 148772–148772. 7 indexed citations

3.

Schafer, Simon T., Abed AlFatah Mansour, Johannes C. M. Schlachetzki, et al.. (2023). An in vivo neuroimmune organoid model to study human microglia phenotypes. Cell. 186(10). 2111–2126.e20. 131 indexed citations breakdown →

4.

Yaksh, Tony L., Kelly A. Eddinger, Zhenping Wang, et al.. (2019). Mast Cell Degranulation and Fibroblast Activation in the Morphine-induced Spinal Mass. Anesthesiology. 131(1). 132–147. 20 indexed citations

5.

Mansour, Abed AlFatah, J. Tiago Gonçalves, Cooper W Bloyd, et al.. (2018). An in vivo model of functional and vascularized human brain organoids. Nature Biotechnology. 36(5). 432–441. 858 indexed citations breakdown →

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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