Yatao Shi

591 total citations
24 papers, 375 citations indexed

About

Yatao Shi is a scholar working on Molecular Biology, Spectroscopy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yatao Shi has authored 24 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Spectroscopy and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yatao Shi's work include Mass Spectrometry Techniques and Applications (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Yatao Shi is often cited by papers focused on Mass Spectrometry Techniques and Applications (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Yatao Shi collaborates with scholars based in United States, China and Japan. Yatao Shi's co-authors include Lingjun Li, Zihui Li, Bin Wang, Richard W. Hartel, C. Smith, Xudong Shi, Wenyuan Liu, Ning Xie, Feng Feng and Yanhua Chen and has published in prestigious journals such as Nature Communications, Blood and Analytical Chemistry.

In The Last Decade

Yatao Shi

21 papers receiving 368 citations

Peers

Yatao Shi

SPECT

SURGE

Yonghui Lv China

Corina Flangea Romania

Lauri Polari Finland

Seok‐Won Hyung South Korea

Béla Kovács Romania

Junhui Li China

Xingwei Wang China

Yibo Hu China

Zhenan Ling China

Katherine M. Weh United States

Yonghui Lv China

Yatao Shi

151 ×0.7

24 ×0.2

SPECT

65 ×1.3

21 ×0.6

58 ×1.6

SURGE

Citations per year, relative to Yatao Shi Yatao Shi (= 1×) peers Yonghui Lv

Countries citing papers authored by Yatao Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yatao Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yatao Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yatao Shi. A scholar is included among the top collaborators of Yatao 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 Yatao Shi. Yatao 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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20 of 20 papers shown

Enerson, Bradley E., Gregg D. Cappon, Yatao Shi, et al.. (2025). Developmental toxicology profile of the IRAK4 degrader KT-474. Toxicological Sciences. 209(2).

Wang, Bin, Zihui Li, Yatao Shi, et al.. (2024). Mass Spectrometry-Based Precise Identification of Citrullinated Histones via Limited Digestion and Biotin Derivative Tag Enrichment. Analytical Chemistry. 96(6). 2309–2317. 2 indexed citations

Han, Shuying, Zihui Li, Yatao Shi, et al.. (2024). 11-Plex DiLeu Isobaric Labeling Enables Quantitative Assessment of Brain Region Protein Association Networks Impacted by the Gut Microbiome. Analytical Chemistry. 96(9). 3870–3878. 1 indexed citations

Xue, Fei, Yatao Shi, Christopher Browne, et al.. (2024). Abstract LB037: E3 pairing and structural mechanisms underlying anti-tumor activity of clinical STAT3 degrader KT-333. Cancer Research. 84(7_Supplement). LB037–LB037.

Chen, Jesse, Dominico Vigil, Nan Ji, et al.. (2023). Targeted degradation of MERTK and other TAM receptor paralogs by heterobifunctional targeted protein degraders. Frontiers in Immunology. 14. 1135373–1135373. 8 indexed citations

Shi, Yatao, Zihui Li, Bin Wang, et al.. (2022). Enabling Global Analysis of Protein Citrullination via Biotin Thiol Tag-Assisted Mass Spectrometry. Analytical Chemistry. 94(51). 17895–17903. 8 indexed citations

Xie, Dong, Zhongjun Hu, Boxin Wang, Kang Zhao, & Yatao Shi. (2022). Axial behavior of basalt FRP-confined reinforced concrete columns with square sections of different corner radii. Engineering Structures. 274. 115153–115153. 15 indexed citations

Li, Zihui, Bin Wang, Qinying Yu, Yatao Shi, & Lingjun Li. (2022). 12-Plex DiLeu Isobaric Labeling Enabled High-Throughput Investigation of Citrullination Alterations in the DNA Damage Response. Analytical Chemistry. 94(7). 3074–3081. 7 indexed citations

Li, Zihui, Daniel M. Tremmel, Fengfei Ma, et al.. (2021). Proteome-wide and matrisome-specific alterations during human pancreas development and maturation. Nature Communications. 12(1). 1020–1020. 32 indexed citations

10.

Dixit, Vaishali, Michele Mayo, Joyoti Dey, et al.. (2021). A First-in-Class STAT3 Degrader KT-333 in Development for Treatment of Hematologic Cancers. Blood. 138(Supplement 1). 1865–1865. 14 indexed citations

11.

Kishimoto, Ayami Ohno, Yo Kishimoto, Xudong Shi, et al.. (2021). High‐resolution magnetic resonance and mass spectrometry imaging of the human larynx. Journal of Anatomy. 239(3). 545–556. 4 indexed citations

12.

Rong, Haojing, Kirti Sharma, Bin Yang, et al.. (2020). Mechanisms of the Anti-Tumor Activity of STAT3 Degraders in Lymphoma. Blood. 136(Supplement 1). 42–42.

13.

Zhang, Hua, Xudong Shi, Gongyu Li, et al.. (2020). On-Tissue Derivatization with Girard’s Reagent P Enhances N-Glycan Signals for Formalin-Fixed Paraffin-Embedded Tissue Sections in MALDI Mass Spectrometry Imaging. Analytical Chemistry. 92(19). 13361–13368. 49 indexed citations

14.

Shi, Yatao, Zihui Li, Mildred Felder, et al.. (2019). Mass Spectrometry Imaging of N-Glycans from Formalin-Fixed Paraffin-Embedded Tissue Sections Using a Novel Subatmospheric Pressure Ionization Source. Analytical Chemistry. 91(20). 12942–12947. 20 indexed citations

15.

Vestal, Marvin L., Lingjun Li, Evgenia Dobrinskikh, et al.. (2019). Rapid MALDI‐TOF molecular imaging: Instrument enhancements and their practical consequences. Journal of Mass Spectrometry. 55(8). e4423–e4423. 12 indexed citations

16.

Hao, Ling, Yatao Shi, Samuel Thomas, et al.. (2018). Comprehensive urinary metabolomic characterization of a genetically induced mouse model of prostatic inflammation. International Journal of Mass Spectrometry. 434. 185–192. 6 indexed citations

17.

Zhu, Yichen, Toshio Takayama, Bowen Wang, et al.. (2017). Restenosis Inhibition and Re-differentiation of TGFβ/Smad3-activated Smooth Muscle Cells by Resveratrol. Scientific Reports. 7(1). 41916–41916. 24 indexed citations

18.

Hao, Ling, Tyler Greer, David L. Page, et al.. (2016). In-Depth Characterization and Validation of Human Urine Metabolomes Reveal Novel Metabolic Signatures of Lower Urinary Tract Symptoms. Scientific Reports. 6(1). 30869–30869. 29 indexed citations

19.

Shi, Yatao, Chunyong Wu, Yanhua Chen, et al.. (2012). Comparative analysis of three Callicarpa herbs using high performance liquid chromatography with diode array detector and electrospray ionization-trap mass spectrometry method. Journal of Pharmaceutical and Biomedical Analysis. 75. 239–247. 43 indexed citations

20.

Shi, Yatao, C. Smith, & Richard W. Hartel. (2001). Compositional Effects on Milk Fat Crystallization. Journal of Dairy Science. 84(11). 2392–2401. 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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