Dailu Chen

616 total citations
10 papers, 389 citations indexed

About

Dailu Chen is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dailu Chen has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dailu Chen's work include Alzheimer's disease research and treatments (8 papers), Protein Structure and Dynamics (3 papers) and Prion Diseases and Protein Misfolding (3 papers). Dailu Chen is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Protein Structure and Dynamics (3 papers) and Prion Diseases and Protein Misfolding (3 papers). Dailu Chen collaborates with scholars based in United States and Netherlands. Dailu Chen's co-authors include Łukasz A. Joachimiak, Marc I. Diamond, Zhiqiang Hou, Bryan D. Ryder, Hilda Mirbaha, Rohit V. Pappu, Mohammad Goodarzi, Hamid Mirzaei, Apurwa M Sharma and Xiaohua Liu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Scientific Reports.

In The Last Decade

Dailu Chen

9 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dailu Chen United States	7	283	248	75	67	42	10	389
Sean R. Kundinger United States	6	284 1.0×	310 1.3×	59 0.8×	67 1.0×	32 0.8×	6	468
Omar M. Kashmer United States	7	220 0.8×	197 0.8×	71 0.9×	56 0.8×	30 0.7×	9	321
Haoling Qi France	8	279 1.0×	263 1.1×	86 1.1×	61 0.9×	68 1.6×	9	429
Megan Larson United States	4	317 1.1×	157 0.6×	87 1.2×	64 1.0×	69 1.6×	5	406
Manuela Prokesch Austria	5	234 0.8×	166 0.7×	76 1.0×	36 0.5×	68 1.6×	12	367
Saskia J. Pollack United Kingdom	6	226 0.8×	185 0.7×	84 1.1×	54 0.8×	30 0.7×	10	327
Clément Despres France	8	236 0.8×	263 1.1×	57 0.8×	45 0.7×	54 1.3×	10	408
Tamta Arakhamia United States	2	222 0.8×	189 0.8×	46 0.6×	49 0.7×	27 0.6×	2	294
Michala Kolarova Czechia	5	263 0.9×	172 0.7×	80 1.1×	63 0.9×	80 1.9×	8	402
Kim Bruggink Netherlands	6	212 0.7×	179 0.7×	35 0.5×	39 0.6×	36 0.9×	8	340

Countries citing papers authored by Dailu Chen

Since Specialization

Citations

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

Fields of papers citing papers by Dailu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dailu Chen

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

All Works

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10 of 10 papers shown

1.

Nuland, Nico A. J. van, Valérie Perez, Dailu Chen, et al.. (2025). Amyloid-motif-dependent tau self-assembly is modulated by isoform sequence context. Structure. 34(2). 349–362.e8.

2.

Hall, Catherine, Emiko Uchikawa, Dailu Chen, et al.. (2023). Structural basis of insulin fibrillation. Science Advances. 9(37). eadi1057–eadi1057. 21 indexed citations

3.

Chen, Dailu, Jaime Vaquer‐Alicea, Shamiram Melhem, et al.. (2023). FTD-tau S320F mutation stabilizes local structure and allosterically promotes amyloid motif-dependent aggregation. Nature Communications. 14(1). 1625–1625. 13 indexed citations

4.

Russ, William P., Dailu Chen, Anthony R. Vega, et al.. (2023). Saturation mutagenesis of α-synuclein reveals monomer fold that modulates aggregation. Science Advances. 9(43). eadh3457–eadh3457. 6 indexed citations

5.

Mirbaha, Hilda, et al.. (2022). Seed-competent tau monomer initiates pathology in a tauopathy mouse model. Journal of Biological Chemistry. 298(8). 102163–102163. 24 indexed citations

6.

Chen, Dailu & Łukasz A. Joachimiak. (2022). Cross-Linking Mass Spectrometry Analysis of Metastable Compact Structures in Intrinsically Disordered Proteins. Methods in molecular biology. 2551. 189–201. 2 indexed citations

7.

Hou, Zhiqiang, Dailu Chen, Bryan D. Ryder, & Łukasz A. Joachimiak. (2021). Biophysical properties of a tau seed. Scientific Reports. 11(1). 13602–13602. 22 indexed citations

8.

Andrew, David R., et al.. (2020). Spontaneous motor-behavior abnormalities in twoDrosophilamodels of neurodevelopmental disorders. Journal of Neurogenetics. 35(1). 1–22. 5 indexed citations

9.

Chen, Dailu, Kenneth W. Drombosky, Zhiqiang Hou, et al.. (2019). Tau local structure shields an amyloid-forming motif and controls aggregation propensity. Nature Communications. 10(1). 2493–2493. 128 indexed citations

10.

Mirbaha, Hilda, Dailu Chen, Kiersten M. Ruff, et al.. (2018). Inert and seed-competent tau monomers suggest structural origins of aggregation. eLife. 7. 168 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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