Weiying Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Retinoids in leukemia and cellular processes 7
- Renal and related cancers 6
- Circular RNAs in diseases 5
- Hematology 17
- Acute Myeloid Leukemia Research 14
- Co-authors
- Xiaobao Xie (14 shared papers)Weimin Dong (11 shared papers)Yan Liu (3 shared papers)Rong Wang (2 shared papers)Feng Zhi (3 shared papers)Xiang-shan Cao (7 shared papers)Yun Ling (4 shared papers)Yilin Yang (1 shared paper)
- Journals
- Annals of Hematology (3 papers)Cancer Medicine (2 papers)Acta Haematologica (2 papers)Molecular Therapy (1 paper)Leukemia Research (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Weiying Gu
43 papers receiving 437 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 236
- Hematology 108
- Molecular Biology 347
- Genetics 25
- Immunology 37
Countries citing papers authored by Weiying Gu
This map shows the geographic impact of Weiying 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 Weiying Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiying Gu more than expected).
Fields of papers citing papers by Weiying Gu
This network shows the impact of papers produced by Weiying 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 Weiying Gu. The network helps show where Weiying Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiying 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 115 | |
| 2 | 2019 | 42 | |
| 3 | 2015 | 40 | |
| 4 | 2013 | 25 | |
| 5 | 2019 | 20 | |
| 6 | 2023 | 19 | |
| 7 | 2021 | 19 | |
| 8 | 2021 | 14 | |
| 9 | 2011 | 13 | |
| 10 | 2016 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2013 | 10 | |
| 13 | 2009 | 10 | |
| 14 | 2010 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2014 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2018 | 5 |
About Weiying Gu
Weiying Gu is a scholar working on Molecular Biology, Hematology, Cancer Research, Public Health, Environmental and Occupational Health and Genetics, having authored 44 papers that have together received 444 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Acute Lymphoblastic Leukemia research (8 papers), MicroRNA in disease regulation (7 papers), Retinoids in leukemia and cellular processes (7 papers), Renal and related cancers (6 papers), Circular RNAs in diseases (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (236 citations), Hematology (108 citations), Molecular Biology (347 citations), Genetics (25 citations) and Immunology (37 citations). Weiying Gu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiaobao Xie, Weimin Dong, Yan Liu, Rong Wang, Feng Zhi, Xiang-shan Cao, Yun Ling, Yilin Yang, Zixing Chen and Jiannong Cen. Their work appears in journals such as Annals of Hematology, Cancer Medicine, Acta Haematologica, Molecular Therapy and Leukemia Research.
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.