Yicheng Guo
- Infectious Diseases top 0.5%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Animal Science and Zoology top 2%
- Immunology top 10%
- Co-authors
- David D. HoZizhang ShengLihong LiuSho IketaniJian YuQian WangMaple WangYaoxing Huang
- Topics
- SARS-CoV-2 and COVID-19 Research (22 papers)COVID-19 Clinical Research Studies (8 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Yicheng Guo
45 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Infectious Diseases 2.0k
- Molecular Biology 858
- Radiology, Nuclear Medicine and Imaging 295
- Animal Science and Zoology 284
- Immunology 264
Countries citing papers authored by Yicheng Guo
This map shows the geographic impact of Yicheng 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 Yicheng Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yicheng Guo more than expected).
Fields of papers citing papers by Yicheng Guo
This network shows the impact of papers produced by Yicheng 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 Yicheng Guo. The network helps show where Yicheng Guo may publish in the future.
Co-authorship network of co-authors of Yicheng Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Yicheng Guo. A scholar is included among the top collaborators of Yicheng 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 Yicheng Guo. Yicheng 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 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | XBB.1.5 monovalent mRNA vaccine booster elicits robust neutralizing antibodies against XBB subvariants and JN.1breakdown → | 80 |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | Antigenicity and receptor affinity of SARS-CoV-2 BA.2.86 spikebreakdown → | 100 |
| 10 | 12 | |
| 11 | Antibody evasion properties of SARS-CoV-2 Omicron sublineagesbreakdown → | 478 |
| 12 | Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4 and BA.5breakdown → | 433 |
| 13 | Multiple pathways for SARS-CoV-2 resistance to nirmatrelvirbreakdown → | 260 |
| 14 | Alarming antibody evasion properties of rising SARS-CoV-2 BQ and XBB subvariantsbreakdown → | 495 |
| 15 | 7 | |
| 16 | 42 | |
| 17 | 40 | |
| 18 | 5 | |
| 19 | 32 | |
| 20 | 58 |
About Yicheng Guo
Yicheng Guo is a scholar working on Infectious Diseases, Animal Science and Zoology and Virology, having authored 51 papers that have together received 2.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (22 papers), COVID-19 Clinical Research Studies (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Animal Science and Zoology (284 citations) and Modeling and Simulation (99 citations). Yicheng Guo has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include David D. Ho, Zizhang Sheng, Lihong Liu, Sho Iketani, Jian Yu, Qian Wang, Maple Wang, Yaoxing Huang, Harris H. Wang and Yiming Huang. Their work appears in journals such as Nature, Cell 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.