Yueting Gu

538 total citations · 1 hit paper
7 papers, 442 citations indexed

About

Yueting Gu is a scholar working on Urology, Pharmaceutical Science and Dermatology. According to data from OpenAlex, Yueting Gu has authored 7 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Urology, 3 papers in Pharmaceutical Science and 2 papers in Dermatology. Recurrent topics in Yueting Gu's work include Hair Growth and Disorders (4 papers), Advancements in Transdermal Drug Delivery (3 papers) and Wound Healing and Treatments (2 papers). Yueting Gu is often cited by papers focused on Hair Growth and Disorders (4 papers), Advancements in Transdermal Drug Delivery (3 papers) and Wound Healing and Treatments (2 papers). Yueting Gu collaborates with scholars based in China and Singapore. Yueting Gu's co-authors include Qiong Bian, Jianqing Gao, Anran Yuan, Ruxuan Wang, Qiaoling Huang, Lingling Huang, Xiaolu Ma, Yuefeng Rao, Yihua Xu and Daishun Ling and has published in prestigious journals such as ACS Nano, Advanced Functional Materials and Journal of Controlled Release.

In The Last Decade

Yueting Gu

6 papers receiving 435 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.

Ceria Nanozyme-Integrated Microneedles Reshape the Perifollicular Microenvironment for Androgenetic Alopecia Treatment

2021 164 citations Anran Yuan, Fan Xia et al. ACS Nano profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yueting Gu China	6	197	172	146	84	83	7	442
Ruxuan Wang China	8	200 1.0×	156 0.9×	121 0.8×	115 1.4×	94 1.1×	10	469
Karola Stieler Germany	7	164 0.8×	167 1.0×	53 0.4×	35 0.4×	107 1.3×	15	445
Won-Seok Park South Korea	7	170 0.9×	154 0.9×	110 0.8×	14 0.2×	60 0.7×	8	351
Miaojian Wan China	15	28 0.1×	215 1.3×	119 0.8×	28 0.3×	163 2.0×	33	539
Daya D. Verma United States	9	327 1.7×	192 1.1×	31 0.2×	51 0.6×	224 2.7×	11	634
Jiaxuan Zhao China	7	139 0.7×	84 0.5×	25 0.2×	61 0.7×	75 0.9×	13	298
Shuyao Ruan China	9	261 1.3×	138 0.8×	7 0.0×	92 1.1×	103 1.2×	10	451
Sakshi Priya India	12	156 0.8×	45 0.3×	11 0.1×	73 0.9×	114 1.4×	28	524
Fei Qu China	7	249 1.3×	166 1.0×	6 0.0×	89 1.1×	76 0.9×	7	428
Birgitte M. Malle Denmark	9	80 0.4×	92 0.5×	14 0.1×	66 0.8×	118 1.4×	12	482

Countries citing papers authored by Yueting Gu

Since Specialization

Citations

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

Fields of papers citing papers by Yueting Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueting Gu

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Han, Yang, Yueting Gu, Yandan Ren, et al.. (2024). RILP Induces Cholesterol Accumulation in Lysosomes by Inhibiting Endoplasmic Reticulum–Endolysosome Interactions. Cells. 13(16). 1313–1313.

2.

Yuan, Anran, Yueting Gu, Qiong Bian, et al.. (2022). Conditioned media-integrated microneedles for hair regeneration through perifollicular angiogenesis. Journal of Controlled Release. 350. 204–214. 52 indexed citations

3.

Gu, Yueting, et al.. (2022). Hair follicle-targeting drug delivery strategies for the management of hair follicle-associated disorders. Asian Journal of Pharmaceutical Sciences. 17(3). 333–352. 58 indexed citations

4.

Wang, Ruxuan, Qiong Bian, Sai Zhang, et al.. (2022). PROTAC Degraders of Androgen Receptor‐Integrated Dissolving Microneedles for Androgenetic Alopecia and Recrudescence Treatment via Single Topical Administration. Small Methods. 7(1). e2201293–e2201293. 40 indexed citations

5.

Bian, Qiong, Yihua Xu, Xiaolu Ma, et al.. (2022). Differential Dual‐Release Bilayer Microneedles Loaded with Aluminum Adjuvants as a Safe and Effective Vaccine Platform. Advanced Functional Materials. 32(29). 27 indexed citations

6.

Yuan, Anran, Fan Xia, Qiong Bian, et al.. (2021). Ceria Nanozyme-Integrated Microneedles Reshape the Perifollicular Microenvironment for Androgenetic Alopecia Treatment. ACS Nano. 15(8). 13759–13769. 164 indexed citations breakdown →

7.

Bian, Qiong, Lingling Huang, Yihua Xu, et al.. (2021). A Facile Low-Dose Photosensitizer-Incorporated Dissolving Microneedles-Based Composite System for Eliciting Antitumor Immunity and the Abscopal Effect. ACS Nano. 15(12). 19468–19479. 101 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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