Erica Ueda

2.0k total citations · 1 hit paper
21 papers, 1.8k citations indexed

About

Erica Ueda is a scholar working on Biomedical Engineering, Surfaces, Coatings and Films and Molecular Biology. According to data from OpenAlex, Erica Ueda has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 10 papers in Surfaces, Coatings and Films and 6 papers in Molecular Biology. Recurrent topics in Erica Ueda's work include Surface Modification and Superhydrophobicity (10 papers), Microfluidic and Bio-sensing Technologies (6 papers) and 3D Printing in Biomedical Research (5 papers). Erica Ueda is often cited by papers focused on Surface Modification and Superhydrophobicity (10 papers), Microfluidic and Bio-sensing Technologies (6 papers) and 3D Printing in Biomedical Research (5 papers). Erica Ueda collaborates with scholars based in Germany, Japan and China. Erica Ueda's co-authors include Pavel A. Levkin, Wenqian Feng, Junsheng Li, Florian Geyer, Urban Liebel, Anna A. Popova, Konstantin Demir, Linxian Li, Alexander Nesterov‐Mueller and Alexander Welle and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Advanced Functional Materials.

In The Last Decade

Erica Ueda

20 papers receiving 1.8k citations

Hit Papers

Emerging Applications of Superhydrophilic‐Superhydrophobi... 2013 2026 2017 2021 2013 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
Erica Ueda Germany 13 1.1k 990 549 346 252 21 1.8k
Angeliki Tserepi Greece 23 1.2k 1.1× 1.1k 1.1× 750 1.4× 413 1.2× 314 1.2× 65 2.2k
Jian‐Nan Wang China 18 920 0.8× 1.2k 1.2× 504 0.9× 338 1.0× 341 1.4× 30 2.0k
Katerina Tsougeni Greece 20 651 0.6× 994 1.0× 331 0.6× 237 0.7× 150 0.6× 39 1.5k
Mika Latikka Finland 14 468 0.4× 451 0.5× 275 0.5× 210 0.6× 209 0.8× 17 1.1k
Isabel Rodríguez Singapore 30 377 0.3× 1.5k 1.5× 639 1.2× 132 0.4× 59 0.2× 86 2.3k
Xiaomei Li China 18 618 0.6× 327 0.3× 533 1.0× 248 0.7× 218 0.9× 74 1.4k
Zhipeng Zhao China 23 406 0.4× 562 0.6× 872 1.6× 99 0.3× 247 1.0× 71 1.9k
Jihua Zhang China 20 445 0.4× 299 0.3× 202 0.4× 217 0.6× 167 0.7× 54 1.3k
F. Brétagnol Italy 23 432 0.4× 591 0.6× 317 0.6× 115 0.3× 58 0.2× 34 1.1k

Countries citing papers authored by Erica Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Erica Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erica Ueda

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

All Works

20 of 20 papers shown
1.
Ueda, Erica, Masaharu Sugiura, Keiichi Kadoyama, et al.. (2024). Identification of a novel aromatic-turmerone analog that activates chaperone-mediated autophagy through the persistent activation of p38. Frontiers in Cell and Developmental Biology. 12. 1418296–1418296.
2.
Ueda, Erica, Tomoko Ohta, Ayumu Konno, et al.. (2022). D-Cysteine Activates Chaperone-Mediated Autophagy in Cerebellar Purkinje Cells via the Generation of Hydrogen Sulfide and Nrf2 Activation. Cells. 11(7). 1230–1230. 6 indexed citations
3.
Sato, Masahiro, Erica Ueda, Ayumu Konno, et al.. (2020). Glucocorticoids negatively regulates chaperone mediated autophagy and microautophagy. Biochemical and Biophysical Research Communications. 528(1). 199–205. 19 indexed citations
4.
Feng, Wenqian, Erica Ueda, & Pavel A. Levkin. (2018). Droplet Microarrays: From Surface Patterning to High‐Throughput Applications. Advanced Materials. 30(20). e1706111–e1706111. 196 indexed citations
5.
Li, Junsheng, et al.. (2018). Slippery Lubricant‐Infused Surfaces: Properties and Emerging Applications. Advanced Functional Materials. 29(4). 234 indexed citations
6.
Okada, Yasuyo, Erica Ueda, Yuki Kondo, et al.. (2017). Role of 6-O-α-maltosyl-β-cyclodextrin in lysosomal cholesterol deprivation in Npc1-deficient Chinese hamster ovary cells. Carbohydrate Research. 455. 54–61. 7 indexed citations
7.
Ueda, Erica & Pavel A. Levkin. (2016). Patterned Superhydrophobic Surfaces. 5. 3 indexed citations
8.
Li, Junsheng, Hao Lü, Erica Ueda, et al.. (2016). Collaborative Action of Surface Chemistry and Topography in the Regulation of Mesenchymal and Epithelial Markers and the Shape of Cancer Cells. ACS Applied Materials & Interfaces. 8(42). 28554–28565. 11 indexed citations
10.
Feng, Wenqian, Linxian Li, Erica Ueda, et al.. (2014). Surface Patterning via Thiol‐Yne Click Chemistry: An Extremely Fast and Versatile Approach to Superhydrophilic‐Superhydrophobic Micropatterns. Advanced Materials Interfaces. 1(7). 133 indexed citations
11.
Nomura, Naohiro, Paula Nunes, Richard Bouley, et al.. (2014). High-throughput chemical screening identifies AG-490 as a stimulator of aquaporin 2 membrane expression and urine concentration. American Journal of Physiology-Cell Physiology. 307(7). C597–C605. 13 indexed citations
12.
Ueda, Erica & Pavel A. Levkin. (2013). Micropatterning Hydrophobic Liquid on a Porous Polymer Surface for Long‐Term Selective Cell‐Repellency. Advanced Healthcare Materials. 2(11). 1425–1429. 53 indexed citations
13.
Ueda, Erica & Pavel A. Levkin. (2013). Emerging Applications of Superhydrophilic‐Superhydrophobic Micropatterns. Advanced Materials. 25(9). 1234–1247. 426 indexed citations breakdown →
14.
Ueda, Erica & Pavel A. Levkin. (2013). Micropatterns: Emerging Applications of Superhydrophilic‐Superhydrophobic Micropatterns (Adv. Mater. 9/2013). Advanced Materials. 25(9). 1368–1368. 8 indexed citations
15.
Ueda, Erica, et al.. (2013). Facile and Multiple Replication of Superhydrophilic–Superhydrophobic Patterns Using Adhesive Tape. ACS Applied Materials & Interfaces. 5(16). 8053–8057. 23 indexed citations
16.
Ueda, Erica & Pavel A. Levkin. (2013). Micropatterning: Micropatterning Hydrophobic Liquid on a Porous Polymer Surface for Long‐Term Selective Cell‐Repellency (Adv. Healthcare Mater. 11/2013). Advanced Healthcare Materials. 2(11). 1413–1413. 1 indexed citations
17.
Ueda, Erica, et al.. (2012). DropletMicroarray: facile formation of arrays of microdroplets and hydrogel micropads for cell screening applications. Lab on a Chip. 12(24). 5218–5218. 162 indexed citations
18.
Li, Junsheng, et al.. (2012). Printable Superhydrophilic–Superhydrophobic Micropatterns Based on Supported Lipid Layers. Langmuir. 28(22). 8286–8291. 72 indexed citations
19.
Geyer, Florian, et al.. (2011). Superhydrophobic–Superhydrophilic Micropatterning: Towards Genome‐on‐a‐Chip Cell Microarrays. Angewandte Chemie International Edition. 50(36). 8424–8427. 218 indexed citations
20.
Geyer, Florian, et al.. (2011). Superhydrophob‐superhydrophile Mikrostrukturen: Auf dem Weg zum Ein‐Genom‐Zellmikroarray. Angewandte Chemie. 123(36). 8575–8578. 11 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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