Linan Shi

682 total citations
10 papers, 601 citations indexed

About

Linan Shi is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Linan Shi has authored 10 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 5 papers in Materials Chemistry and 2 papers in Molecular Biology. Recurrent topics in Linan Shi's work include Nanoplatforms for cancer theranostics (5 papers), Advanced Nanomaterials in Catalysis (3 papers) and Luminescence and Fluorescent Materials (3 papers). Linan Shi is often cited by papers focused on Nanoplatforms for cancer theranostics (5 papers), Advanced Nanomaterials in Catalysis (3 papers) and Luminescence and Fluorescent Materials (3 papers). Linan Shi collaborates with scholars based in China and United States. Linan Shi's co-authors include Youjuan Wang, Guosheng Song, Xiaobing Zhang, Lili Teng, Yan Zhao, Xiangyang Gong, Xia Yin, Yue Yang, Yanlan Liu and Jianghong Wu and has published in prestigious journals such as Angewandte Chemie International Edition, Nano Letters and Molecular Cancer.

In The Last Decade

Linan Shi

10 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linan Shi China	8	366	265	211	94	66	10	601
Sisi Ling China	12	358 1.0×	298 1.1×	153 0.7×	81 0.9×	62 0.9×	24	566
Yinxing Miao China	14	356 1.0×	196 0.7×	189 0.9×	103 1.1×	65 1.0×	31	563
Huocheng Yang China	7	521 1.4×	241 0.9×	149 0.7×	116 1.2×	133 2.0×	12	670
Stephanie D. Teeter United States	5	243 0.7×	129 0.5×	225 1.1×	123 1.3×	72 1.1×	7	583
Zhiming Deng China	16	431 1.2×	364 1.4×	137 0.6×	77 0.8×	73 1.1×	32	664
Lingling Lei China	10	290 0.8×	188 0.7×	134 0.6×	100 1.1×	108 1.6×	20	469
Qianxin Luo China	9	263 0.7×	296 1.1×	223 1.1×	37 0.4×	108 1.6×	13	656
Zihui Meng China	13	213 0.6×	151 0.6×	230 1.1×	24 0.3×	64 1.0×	31	582
Sarah Glasl Germany	12	621 1.7×	210 0.8×	123 0.6×	34 0.4×	98 1.5×	24	812
Mengke Xu Singapore	17	480 1.3×	190 0.7×	263 1.2×	81 0.9×	114 1.7×	33	705

Countries citing papers authored by Linan Shi

Since Specialization

Citations

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

Fields of papers citing papers by Linan Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Linan Shi. A scholar is included among the top collaborators of Linan Shi 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 Linan Shi. Linan Shi 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.

Jin, Tong, Jun Li, Chun‐Li Cao, et al.. (2024). Using the GoogLeNet deep-learning model to distinguish between benign and malignant breast masses based on conventional ultrasound: a systematic review and meta-analysis. Quantitative Imaging in Medicine and Surgery. 14(10). 7111–7127. 2 indexed citations

2.

Wang, Youjuan, Guosheng Song, Shiyi Liao, et al.. (2021). Cyclic Amplification of the Afterglow Luminescent Nanoreporter Enables the Prediction of Anti‐cancer Efficiency. Angewandte Chemie. 133(36). 19932–19942. 6 indexed citations

3.

Shi, Linan, Youjuan Wang, Cheng Zhang, et al.. (2021). An Acidity‐Unlocked Magnetic Nanoplatform Enables Self‐Boosting ROS Generation through Upregulation of Lactate for Imaging‐Guided Highly Specific Chemodynamic Therapy. Angewandte Chemie. 133(17). 9648–9658. 24 indexed citations

4.

Wang, Youjuan, Guosheng Song, Shiyi Liao, et al.. (2021). Cyclic Amplification of the Afterglow Luminescent Nanoreporter Enables the Prediction of Anti‐cancer Efficiency. Angewandte Chemie International Edition. 60(36). 19779–19789. 72 indexed citations

5.

Shi, Linan, Youjuan Wang, Cheng Zhang, et al.. (2021). An Acidity‐Unlocked Magnetic Nanoplatform Enables Self‐Boosting ROS Generation through Upregulation of Lactate for Imaging‐Guided Highly Specific Chemodynamic Therapy. Angewandte Chemie International Edition. 60(17). 9562–9572. 171 indexed citations

6.

Wang, Youjuan, Linan Shi, Lili Teng, et al.. (2019). Reactive Oxygen Correlated Chemiluminescent Imaging of a Semiconducting Polymer Nanoplatform for Monitoring Chemodynamic Therapy. Nano Letters. 20(1). 176–183. 141 indexed citations

7.

Li, Jing, Zhensheng Xie, Linan Shi, et al.. (2012). Purification, identification and profiling of serum amyloid A proteins from sera of advanced-stage cancer patients. Journal of Chromatography B. 889-890. 3–9. 15 indexed citations

8.

Li, Jing, Tanxi Cai, Peng Wu, et al.. (2009). Proteomic analysis of mitochondria from Caenorhabditis elegans. PROTEOMICS. 9(19). 4539–4553. 49 indexed citations

9.

Fan, Y. H., Linan Shi, Qiuliang Liu, et al.. (2009). Discovery and identification of potential biomarkers of papillary thyroid carcinoma. Molecular Cancer. 8(1). 79–79. 73 indexed citations

10.

Shi, Linan, Jun Zhang, Peng Wu, et al.. (2009). Discovery and identification of potential biomarkers of pediatric Acute Lymphoblastic Leukemia. Proteome Science. 7(1). 7–7. 48 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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