Yuting Guo

4.4k total citations · 3 hit papers
110 papers, 3.0k citations indexed

About

Yuting Guo is a scholar working on Molecular Biology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Yuting Guo has authored 110 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 17 papers in Artificial Intelligence and 10 papers in Biophysics. Recurrent topics in Yuting Guo's work include Topic Modeling (13 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Yuting Guo is often cited by papers focused on Topic Modeling (13 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Yuting Guo collaborates with scholars based in China, United States and United Kingdom. Yuting Guo's co-authors include Dong Li, Chong Liu, Rosanne M. Taylor, Роберто Пили, Ping Long, Grace Martin, Antonino Passaniti, D. S. Grant, Rebecca Pauly and Di Li and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yuting Guo

100 papers receiving 2.9k citations

Hit Papers

A simple, quantitative method for assessing angiogenesis ... 1992 2026 2003 2014 1992 2018 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuting Guo China 23 1.4k 524 441 401 394 110 3.0k
Qi Yan China 35 1.8k 1.3× 297 0.6× 183 0.4× 358 0.9× 548 1.4× 293 4.6k
Li V. Yang United States 32 2.3k 1.6× 175 0.3× 259 0.6× 582 1.5× 334 0.8× 91 4.2k
Xavier Gidrol France 31 1.6k 1.1× 124 0.2× 306 0.7× 460 1.1× 643 1.6× 116 3.3k
Ingela Parmryd Sweden 21 1.6k 1.1× 215 0.4× 321 0.7× 157 0.4× 181 0.5× 51 2.6k
Shantanu Singh United States 27 1.7k 1.2× 1.8k 3.4× 310 0.7× 110 0.3× 456 1.2× 79 3.8k
Jonathan E. Zuckerman United States 22 3.2k 2.2× 292 0.6× 86 0.2× 624 1.6× 1.1k 2.8× 68 5.2k
Rachel J. Errington United Kingdom 27 1.9k 1.3× 296 0.6× 229 0.5× 216 0.5× 284 0.7× 110 2.8k
Sophie A. Lelièvre United States 31 1.8k 1.2× 268 0.5× 772 1.8× 380 0.9× 812 2.1× 73 3.6k
Leonidas G. Alexopoulos Greece 32 1.9k 1.3× 131 0.3× 595 1.3× 171 0.4× 552 1.4× 115 3.9k
Filippo Piccinini Italy 23 709 0.5× 523 1.0× 201 0.5× 226 0.6× 876 2.2× 70 2.4k

Countries citing papers authored by Yuting Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Guo. A scholar is included among the top collaborators of Yuting 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 Yuting Guo. Yuting 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, Yuting, Lei Sun, Ning Zhou, et al.. (2025). Compatibilization of poly(lactic acid) and poly(butylene adipate-co-butylene terephthalate) blends by using epoxidized magnesium hydroxide nanoparticles. International Journal of Biological Macromolecules. 306(Pt 4). 141838–141838.
2.
Mao, Runze, Peihua Han, Wenbo Xu, et al.. (2025). A dual-exponential EKF model for lithium-ion battery RUL prediction with Bayesian optimization. Measurement Science and Technology. 36(9). 96204–96204. 1 indexed citations
3.
Xu, Wenbo, Runze Mao, Peihua Han, et al.. (2025). A comprehensive review of lithium-ion battery remaining useful life prediction: methodologies, datasets, performance metrics, and future perspectives. Measurement Science and Technology. 36(8). 82001–82001. 2 indexed citations
4.
Guo, Yuting, et al.. (2024). Evaluating large language models for health-related text classification tasks with public social media data. Journal of the American Medical Informatics Association. 31(10). 2181–2189. 16 indexed citations
5.
Guo, Yuting, Yao Ge, & Abeed Sarker. (2024). Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models. Studies in health technology and informatics. 310. 685–689. 1 indexed citations
6.
Guo, Yuting & Abeed Sarker. (2023). SocBERT: A Pretrained Model for Social Media Text. 45–52. 1 indexed citations
7.
Xu, Jing, et al.. (2023). Precise and real-time detection of miRNA-141 realized on double-drive strategy triggered by sandwich-graphdiyne and energy conversion device. Sensors and Actuators B Chemical. 389. 133902–133902. 19 indexed citations
9.
Guo, Yuting, et al.. (2023). Single-Cell Techniques in Environmental Microbiology. Processes. 11(4). 1109–1109. 2 indexed citations
10.
Fan, Huaifu, et al.. (2023). Cucumis sativus PHLOEM PROTEIN 2-A1 like gene positively regulates salt stress tolerance in cucumber seedlings. Plant Molecular Biology. 111(6). 493–504. 3 indexed citations
11.
Guo, Yuting, Mohammed Ali Al-Garadi, Wendy Book, et al.. (2023). Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than ICD Codes. Journal of the American Heart Association. 12(13). e030046–e030046. 5 indexed citations
12.
Ge, Yao, et al.. (2023). Few-shot learning for medical text: A review of advances, trends, and opportunities. Journal of Biomedical Informatics. 144. 104458–104458. 55 indexed citations
13.
Sarker, Abeed, et al.. (2023). #ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning. SHILAP Revista de lepidopterología. 3. 3 indexed citations
14.
Guo, Yuting, Juan Chen, Nan Liu, et al.. (2022). Association of Circulating TXNIP Levels with Fatty Liver in Newly Diagnosed Type 2 Diabetes Mellitus. SHILAP Revista de lepidopterología. 8 indexed citations
15.
Guo, Yuting, Yao Ge, Yuan‐Chi Yang, Mohammed Ali Al-Garadi, & Abeed Sarker. (2022). Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification. Healthcare. 10(8). 1478–1478. 10 indexed citations
16.
Li, Di, Huw Colin‐York, Yousef Javanmardi, et al.. (2021). Astigmatic traction force microscopy (aTFM). Nature Communications. 12(1). 2168–2168. 46 indexed citations
17.
Elbaz‐Alon, Yael, Yuting Guo, Michal Harel, et al.. (2020). PDZD8 interacts with Protrudin and Rab7 at ER-late endosome membrane contact sites associated with mitochondria. Nature Communications. 11(1). 3645–3645. 81 indexed citations
18.
Liu, Xiaoqian, et al.. (2017). The prevalence and long-term variation of hospital readmission for patients with diabetes in Tianjin, China. Medicine. 96(42). e7953–e7953. 8 indexed citations
19.
Yang, Xiaoyun, Yanqing Li, Yan Zhang, et al.. (2006). [The role of NF-E2-related factor 2 in the induction of uridine 5'-diphosphate-glucuronosyltransferase 1A and its isoforms by epigallocatechin gallate in colon cancer cells].. PubMed. 86(2). 82–7. 7 indexed citations
20.
Passaniti, Antonino, Rosanne M. Taylor, Роберто Пили, et al.. (1992). A simple, quantitative method for assessing angiogenesis and antiangiogenic agents using reconstituted basement membrane, heparin, and fibroblast growth factor.. PubMed. 67(4). 519–28. 713 indexed citations breakdown →

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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