Yuting Guo
- Molecular Biology top 5%
- Biophysics top 0.5%
- Cell Biology top 5%
- Cancer Research top 5%
- Biomedical Engineering top 10%
- Co-authors
- Dong LiChong LiuRosanne M. TaylorРоберто ПилиPing LongGrace MartinAntonino PassanitiD. S. Grant
- Topics
- Topic Modeling (13 papers)Advanced Fluorescence Microscopy Techniques (7 papers)Biomedical Text Mining and Ontologies (6 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuting Guo
100 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 1.4k
- Biophysics 524
- Cell Biology 441
- Cancer Research 401
- Biomedical Engineering 394
Countries citing papers authored by Yuting Guo
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 55 | |
| 13 | 3 | |
| 14 | Association of Circulating TXNIP Levels with Fatty Liver in Newly Diagnosed Type 2 Diabetes Mellitus | 8 |
| 15 | 10 | |
| 16 | 46 | |
| 17 | 81 | |
| 18 | 8 | |
| 19 | [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]. | 7 |
| 20 | A simple, quantitative method for assessing angiogenesis and antiangiogenic agents using reconstituted basement membrane, heparin, and fibroblast growth factor.breakdown → | 713 |
About Yuting Guo
Yuting Guo is a scholar working on Biophysics, Health Informatics and Structural Biology, having authored 110 papers that have together received 3.0k indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Biomedical Text Mining and Ontologies (6 papers). The work is most often cited by research in Biophysics (524 citations), Structural Biology (106 citations) and Cell Biology (441 citations). Yuting Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent 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. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.
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.