Ling Gu
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 6
- Cancer, Hypoxia, and Metabolism 6
- Cancer Genomics and Diagnostics 4
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 6
- Cell death mechanisms and regulation 4
- Oncology top 10%
- Cancer-related Molecular Pathways 6
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- Immune Cell Function and Interaction 5
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- Lung Cancer Treatments and Mutations 4
- Co-authors
- Stephen A. MurrayHongwu ZhengZhi-Xiong Jim XiaoHan YouXiaoou TangXiao Zhen ZhouTakafumi UchidaGerburg M. Wulf
- Journals
- Journal of Experimental & Clinical Cancer Research (3 papers)Cancer Cell International (3 papers)Journal of Cancer (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Ling Gu
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Cancer Research 485
- Molecular Biology 1.0k
- Oncology 395
- Biological Psychiatry 30
- Immunology 202
Countries citing papers authored by Ling Gu
This map shows the geographic impact of Ling 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 Ling Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Gu more than expected).
Fields of papers citing papers by Ling Gu
This network shows the impact of papers produced by Ling 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 Ling Gu. The network helps show where Ling Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 14 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 23 | |
| 9 | 2018 | 5 | |
| 10 | 2017 | 24 | |
| 11 | 2016 | 21 | |
| 12 | 2013 | 12 | |
| 13 | 2011 | 26 | |
| 14 | 2010 | 7 | |
| 15 | 2008 | 33 | |
| 16 | 2003 | 15 | |
| 17 | 2003 | 11 | |
| 18 | 2002 | 323 | |
| 19 | Correlations among p53, Her-2/neu, and ras overexpression and aneuploidy by multiparameter flow cytometry in human breast cancer: evidence for a common phenotypic evolutionary pattern in infiltrating ductal carcinomas. | 2000 | 41 |
| 20 | Intracellular coexpression of epidermal growth factor receptor, Her-2/neu, and p21ras in human breast cancers: evidence for the existence of distinctive patterns of genetic evolution that are common to tumors from different patients. | 1998 | 23 |
About Ling Gu
Ling Gu is a scholar working on Cancer Research, Oncology and Hematology, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer-related Molecular Pathways (6 papers), Cancer-related molecular mechanisms research (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Immune Cell Function and Interaction (5 papers), Cell death mechanisms and regulation (4 papers), Cancer Genomics and Diagnostics (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Cancer Research (485 citations), Molecular Biology (1.0k citations) and Oncology (395 citations). Ling Gu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Stephen A. Murray, Hongwu Zheng, Zhi-Xiong Jim Xiao, Han You, Xiaoou Tang, Xiao Zhen Zhou, Takafumi Uchida, Gerburg M. Wulf, Kun Ping Lu and Zhigui Ma. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Cancer Cell International, Journal of Cancer, Oncotarget and BMC 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.