Sunling Hu

2.1k total citations · 2 hit papers
8 papers, 1.8k citations indexed

About

Sunling Hu is a scholar working on Materials Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Sunling Hu has authored 8 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 3 papers in Biomedical Engineering and 2 papers in Molecular Biology. Recurrent topics in Sunling Hu's work include Advanced Nanomaterials in Catalysis (4 papers), Nanoparticle-Based Drug Delivery (2 papers) and Quantum Dots Synthesis And Properties (2 papers). Sunling Hu is often cited by papers focused on Advanced Nanomaterials in Catalysis (4 papers), Nanoparticle-Based Drug Delivery (2 papers) and Quantum Dots Synthesis And Properties (2 papers). Sunling Hu collaborates with scholars based in China and United States. Sunling Hu's co-authors include Ning Gu, Jun‐Jie Yin, Mengjie Song, Yu Zhang, Lina Song, Weiwei He, Wei Zhang, Ming Ma, Yu Zhang and Wei Lu and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and ACS Nano.

In The Last Decade

Sunling Hu

7 papers receiving 1.8k 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.

Prussian Blue Nanoparticles as Multienzyme Mimetics and Reactive Oxygen Species Scavengers

2016 787 citations Wei Zhang, Sunling Hu et al. Journal of the American Chemical Society profile →
Dual Enzyme-like Activities of Iron Oxide Nanoparticles and Their Implication for Diminishing Cytotoxicity

2012 771 citations Zhongwen Chen, Jun‐Jie Yin et al. ACS Nano profile →

Peers

Sunling Hu

MC

BE

MB

EEE

BIOMA

Hyek Jin Kwon South Korea

Chuan‐Wan Wei China

Na Yang China

Kun Qian China

He Ding China

Haile Liu China

Dongqin Yu China

Zhimin Tian China

Xiaofang Tan China

Hyek Jin Kwon South Korea

Sunling Hu

999 ×0.7

MC

535 ×0.7

BE

340 ×0.6

MB

205 ×0.5

EEE

166 ×0.7

BIOMA

Citations per year, relative to Sunling Hu Sunling Hu (= 1×) peers Hyek Jin Kwon

Countries citing papers authored by Sunling Hu

Since Specialization

Citations

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

Fields of papers citing papers by Sunling Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunling Hu

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

All Works

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8 of 8 papers shown

1.

Zhang, Wei, Sunling Hu, Jun‐Jie Yin, et al.. (2016). Prussian Blue Nanoparticles as Multienzyme Mimetics and Reactive Oxygen Species Scavengers. Journal of the American Chemical Society. 138(18). 5860–5865. 787 indexed citations breakdown →

2.

Hu, Sunling, Xiaoqing Zhang, Fengchao Zang, et al.. (2015). Surface Modified Iron Oxide Nanoparticles as Fe Source Precursor to Induce the Formation of Prussian Blue Nanocubes. Journal of Nanoscience and Nanotechnology. 16(2). 1967–1974. 8 indexed citations

3.

Zhang, Wei, Yu Zhang, Yanhua Chen, et al.. (2013). Prussian Blue Modified Ferritin as Peroxidase Mimetics and Its Applications in Biological Detection. Journal of Nanoscience and Nanotechnology. 13(1). 60–67. 41 indexed citations

4.

Qiu, Feng, Yating Zhang, Jian‐Hua Guo, et al.. (2013). Growth, structure, and optical properties of GaSb quantum dot by LPE technique. 203–204.

5.

Yang, Fang, Sunling Hu, Yu Zhang, et al.. (2012). A Hydrogen Peroxide‐Responsive O₂ Nanogenerator for Ultrasound and Magnetic‐Resonance Dual Modality Imaging. Advanced Materials. 24(38). 5205–5211. 111 indexed citations

6.

Chen, Zhongwen, Jun‐Jie Yin, Yuting Zhou, et al.. (2012). Dual Enzyme-like Activities of Iron Oxide Nanoparticles and Their Implication for Diminishing Cytotoxicity. ACS Nano. 6(5). 4001–4012. 771 indexed citations breakdown →

7.

Song, Mengjie, Yu Zhang, Sunling Hu, et al.. (2012). Influence of morphology and surface exchange reaction on magnetic properties of monodisperse magnetite nanoparticles. Colloids and Surfaces A Physicochemical and Engineering Aspects. 408. 114–121. 63 indexed citations

8.

Liu, Jiwei, et al.. (2010). Preparation and Characterization of Highly Luminescent Water-Soluble CdTe Quantum Dots as Optical Temperature Probes. Journal of Nanoscience and Nanotechnology. 10(11). 7578–7582. 19 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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