Yi Gu
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 10
- Ginseng Biological Effects and Applications 9
- Fibroblast Growth Factor Research 6
- PI3K/AKT/mTOR signaling in cancer 6
- Oncology 17
- Co-authors
- David A. Williams (10 shared papers)Jamie E. Siefring (7 shared papers)Yi Zheng (6 shared papers)Aparna Jasti (4 shared papers)Chad E. Harris (3 shared papers)José A. Cancelas (3 shared papers)Simon J. Atkinson (2 shared papers)Marie–Dominique Filippi (2 shared papers)
- Journals
- Cancer Research (8 papers)PLoS ONE (5 papers)Blood (4 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)Cancer Chemotherapy and Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Gu
86 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 117
- Hematology 466
- Cancer Research 509
- Immunology and Allergy 188
- Immunology 568
- Molecular Biology 1.6k
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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 419 | |
| 2 | 2008 | 239 | |
| 3 | 2016 | 182 | |
| 4 | 2001 | 169 | |
| 5 | 2015 | 162 | |
| 6 | 2015 | 117 | |
| 7 | 2014 | 115 | |
| 8 | 2004 | 113 | |
| 9 | 2009 | 112 | |
| 10 | 2010 | 92 | |
| 11 | 2006 | 91 | |
| 12 | 2014 | 91 | |
| 13 | 2001 | 79 | |
| 14 | 2004 | 77 | |
| 15 | 2012 | 70 | |
| 16 | 2018 | 69 | |
| 17 | 2007 | 68 | |
| 18 | 2011 | 65 | |
| 19 | 2002 | 49 | |
| 20 | 2016 | 44 |
About Yi Gu
Yi Gu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Pharmacology, having authored 94 papers that have together received 3.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Ginseng Biological Effects and Applications (9 papers), Lung Cancer Treatments and Mutations (9 papers), Pharmacological Effects of Natural Compounds (8 papers), Cancer-related molecular mechanisms research (7 papers), Fibroblast Growth Factor Research (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Liver physiology and pathology (5 papers). The work is most often cited by research in Hematology (466 citations), Cancer Research (509 citations), Immunology and Allergy (188 citations), Immunology (568 citations) and Molecular Biology (1.6k citations). Yi Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David A. Williams, Jamie E. Siefring, Yi Zheng, Aparna Jasti, Chad E. Harris, José A. Cancelas, Simon J. Atkinson, Marie–Dominique Filippi, Jianguo Sun and Michael Jansen. Their work appears in journals such as Cancer Research, PLoS ONE, Blood, Journal of Pharmaceutical and Biomedical Analysis and Cancer Chemotherapy and Pharmacology.
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.