Yi Gu
Impact in
- Organic Chemistry top 10%
- Asymmetric Synthesis and Catalysis
- Synthetic Organic Chemistry Methods
- Synthesis and Catalytic Reactions
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Oncology 7
- HER2/EGFR in Cancer Research 2
- Co-authors
- Chang Guo (1 shared paper)Shi‐Wei Luo (1 shared paper)Qi‐Xiang Guo (1 shared paper)Hua Liu (1 shared paper)Liu‐Zhu Gong (1 shared paper)Hui Chang (3 shared papers)Lillian Skidmore (2 shared papers)Feng Tian (2 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)Cancer Research (2 papers)Biomedical Materials (1 paper)International Journal of Biological Macromolecules (1 paper)Clinical Breast Cancer (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Gu
30 papers receiving 688 citations
Peers
Comparison fields: 5 of 84
- Organic Chemistry 214
- Radiology, Nuclear Medicine and Imaging 137
- Oncology 154
- Biomaterials 66
- Inorganic Chemistry 64
Countries citing papers authored by Yi Gu
This map shows the geographic impact of Yi Gu'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 Yi Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Gu more than expected).
Fields of papers citing papers by Yi Gu
This network shows the impact of papers produced by Yi Gu. 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 Yi Gu. The network helps show where Yi Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 206 | |
| 2 | 2020 | 121 | |
| 3 | 2021 | 88 | |
| 4 | 2021 | 40 | |
| 5 | 2020 | 39 | |
| 6 | 2008 | 24 | |
| 7 | 2020 | 22 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2022 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2023 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2015 | 9 | |
| 16 | 2012 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2015 | 4 | |
| 20 | 2018 | 4 |
About Yi Gu
Yi Gu is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Cell Biology, having authored 30 papers that have together received 701 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Cell Adhesion Molecules Research (3 papers), Glycosylation and Glycoproteins Research (3 papers), HER2/EGFR in Cancer Research (2 papers), Toxic Organic Pollutants Impact (2 papers), T-cell and B-cell Immunology (2 papers), Immunotherapy and Immune Responses (2 papers) and Caveolin-1 and cellular processes (2 papers). The work is most often cited by research in Organic Chemistry (214 citations), Radiology, Nuclear Medicine and Imaging (137 citations), Oncology (154 citations), Biomaterials (66 citations) and Inorganic Chemistry (64 citations). Yi Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chang Guo, Shi‐Wei Luo, Qi‐Xiang Guo, Hua Liu, Liu‐Zhu Gong, Hui Chang, Lillian Skidmore, Feng Tian, Sulan Yao and Wayne Yu. Their work appears in journals such as Molecular Cancer Therapeutics, Cancer Research, Biomedical Materials, International Journal of Biological Macromolecules and Clinical Breast Cancer.
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.