Shi Guo

963 total citations · 1 hit paper
26 papers, 712 citations indexed

About

Shi Guo is a scholar working on Materials Chemistry, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Shi Guo has authored 26 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 14 papers in Biomedical Engineering and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Shi Guo's work include Graphene and Nanomaterials Applications (12 papers), Graphene research and applications (7 papers) and Nanoplatforms for cancer theranostics (7 papers). Shi Guo is often cited by papers focused on Graphene and Nanomaterials Applications (12 papers), Graphene research and applications (7 papers) and Nanoplatforms for cancer theranostics (7 papers). Shi Guo collaborates with scholars based in France, Japan and United Kingdom. Shi Guo's co-authors include Alberto Bianco, Cécilia Ménard‐Moyon, Slaven Garaj, Yuta Nishina, Ding‐Kun Ji, Giacomo Reina, Jésus Raya, Freddie Withers, Baojin Ma and Paolo Samorı́ and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shi Guo

24 papers receiving 703 citations

Hit Papers

Controlling covalent chemistry on graphene oxide 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Guo France 16 421 333 121 93 72 26 712
Christopher M. Earhart United States 11 253 0.6× 381 1.1× 83 0.7× 169 1.8× 107 1.5× 17 708
Yit Lung Khung Taiwan 14 280 0.7× 337 1.0× 233 1.9× 114 1.2× 46 0.6× 37 675
Chuang Shen China 15 327 0.8× 262 0.8× 115 1.0× 104 1.1× 143 2.0× 50 735
Jialing Wang China 13 360 0.9× 130 0.4× 127 1.0× 60 0.6× 153 2.1× 58 678
Takashi Yoda Japan 7 320 0.8× 128 0.4× 166 1.4× 44 0.5× 86 1.2× 27 633
Sa Huang China 15 368 0.9× 371 1.1× 90 0.7× 104 1.1× 49 0.7× 32 723
Shufang Yu China 13 287 0.7× 406 1.2× 279 2.3× 229 2.5× 70 1.0× 24 912
L. Minati Italy 14 247 0.6× 164 0.5× 79 0.7× 121 1.3× 52 0.7× 27 537
Yadan Ding China 15 316 0.8× 196 0.6× 114 0.9× 128 1.4× 35 0.5× 41 554
J Okamura Japan 10 589 1.4× 278 0.8× 117 1.0× 69 0.7× 52 0.7× 28 856

Countries citing papers authored by Shi Guo

Since Specialization
Citations

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

Fields of papers citing papers by Shi Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Guo. A scholar is included among the top collaborators of Shi Guo 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 Shi Guo. Shi Guo 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.
Guo, Shi, et al.. (2025). Microwave quantum heterodyne sensing using a continuous concatenated dynamical decoupling protocol. Nature Communications. 16(1). 4380–4380.
3.
Guo, Shi, Ding‐Kun Ji, Giacomo Reina, et al.. (2022). Combined Photothermal and Photodynamic Therapy for Cancer Treatment Using a Multifunctional Graphene Oxide. Pharmaceutics. 14(7). 1365–1365. 46 indexed citations
4.
Peng, Shiyuan, Shi Guo, Baojin Ma, et al.. (2022). 2D Materials and Primary Human Dendritic Cells: A Comparative Cytotoxicity Study. Small. 18(20). e2107652–e2107652. 15 indexed citations
5.
Guo, Shi, Slaven Garaj, Alberto Bianco, & Cécilia Ménard‐Moyon. (2022). Controlling covalent chemistry on graphene oxide. Nature Reviews Physics. 4(4). 247–262. 173 indexed citations breakdown →
6.
Dąbrowski, Maciej, Shi Guo, P. S. Keatley, et al.. (2022). All-optical control of spin in a 2D van der Waals magnet. Nature Communications. 13(1). 5976–5976. 51 indexed citations
7.
Gobato, Y. Galvão, Andrey Chaves, M. A. Prosnikov, et al.. (2022). Distinctive g-Factor of Moiré-Confined Excitons in van der Waals Heterostructures. Nano Letters. 22(21). 8641–8646. 15 indexed citations
8.
Ji, Ding‐Kun, Giacomo Reina, Da Zhang, et al.. (2021). Gadolinium-Incorporated Carbon Nanodots for T1-Weighted Magnetic Resonance Imaging. ACS Applied Nano Materials. 4(2). 1467–1477. 21 indexed citations
9.
Ji, Ding‐Kun, Shi Guo, Julien Vollaire, et al.. (2021). Multifunctional Carbon Nanodots: Enhanced Near‐Infrared Photosensitizing, Photothermal Activity, and Body Clearance. SHILAP Revista de lepidopterología. 2(2). 2100082–2100082. 16 indexed citations
10.
Orecchioni, Marco, Laura Fusco, Raghvendra Mall, et al.. (2021). Graphene oxide activates B cells with upregulation of granzyme B expression: evidence at the single-cell level for its immune-modulatory properties and anticancer activity. Nanoscale. 14(2). 333–349. 9 indexed citations
11.
Ma, Baojin, Shi Guo, Yuta Nishina, & Alberto Bianco. (2021). Reaction between Graphene Oxide and Intracellular Glutathione Affects Cell Viability and Proliferation. ACS Applied Materials & Interfaces. 13(3). 3528–3535. 31 indexed citations
12.
Fusco, Laura, Marco Orecchioni, Giacomo Reina, et al.. (2021). Lateral dimension and amino-functionalization on the balance to assess the single-cell toxicity of graphene on fifteen immune cell types. NanoImpact. 23. 100330–100330. 7 indexed citations
13.
Guo, Shi, et al.. (2020). Carbon Nanomaterials Applied for the Treatment of Inflammatory Diseases: Preclinical Evidence. Advanced Therapeutics. 3(9). 24 indexed citations
14.
Guo, Shi, Jésus Raya, Ding‐Kun Ji, et al.. (2020). Is carboxylation an efficient method for graphene oxide functionalization?. Nanoscale Advances. 2(9). 4085–4092. 41 indexed citations
15.
Vacchi, Isabella Anna, Shi Guo, Jésus Raya, Alberto Bianco, & Cécilia Ménard‐Moyon. (2020). Strategies for the Controlled Covalent Double Functionalization of Graphene Oxide. Chemistry - A European Journal. 26(29). 6591–6598. 32 indexed citations
16.
Ji, Ding‐Kun, Giacomo Reina, Shi Guo, et al.. (2020). Controlled functionalization of carbon nanodots for targeted intracellular production of reactive oxygen species. Nanoscale Horizons. 5(8). 1240–1249. 43 indexed citations
17.
Guo, Shi, Yuta Nishina, Alberto Bianco, & Cécilia Ménard‐Moyon. (2019). A Flexible Method for Covalent Double Functionalization of Graphene Oxide. Angewandte Chemie. 132(4). 1558–1563. 11 indexed citations
18.
Guo, Shi, Yuta Nishina, Alberto Bianco, & Cécilia Ménard‐Moyon. (2019). A Flexible Method for Covalent Double Functionalization of Graphene Oxide. Angewandte Chemie International Edition. 59(4). 1542–1547. 61 indexed citations
20.
Zhao, Dong, et al.. (2004). Aberrant expression and function of TCF4 in the proliferation of hepatocellular carcinoma cell line BEL-7402. Cell Research. 14(1). 74–80. 32 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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