Suying Lü
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
- Oncology 28
- Lung Cancer Research Studies 7
- Cancer-related Molecular Pathways 6
- Co-authors
- Michael C. Archer (9 shared papers)Ramón Mangues (4 shared papers)Àngel Pellicer (4 shared papers)Fei Zou (2 shared papers)Jia Zhu (49 shared papers)Marcos Malumbres (2 shared papers)Junting Huang (49 shared papers)Feifei Sun (52 shared papers)
- Journals
- Frontiers in Oncology (6 papers)Journal of Clinical Oncology (5 papers)Cell Death and Disease (5 papers)PLoS ONE (4 papers)Frontiers in Immunology (3 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Suying Lü
86 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 208
- Molecular Medicine 69
- Oncology 271
- Molecular Biology 634
- Pollution 82
Countries citing papers authored by Suying Lü
This map shows the geographic impact of Suying Lü'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 Suying Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suying Lü more than expected).
Fields of papers citing papers by Suying Lü
This network shows the impact of papers produced by Suying Lü. 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 Suying Lü. The network helps show where Suying Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Suying Lü, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Antitumor effect of a farnesyl protein transferase inhibitor in mammary and lymphoid tumors overexpressing N-ras in transgenic mice. | 1998 | 109 |
| 2 | 2010 | 97 | |
| 3 | 2010 | 87 | |
| 4 | 2009 | 79 | |
| 5 | 2004 | 67 | |
| 6 | 1997 | 63 | |
| 7 | 2015 | 55 | |
| 8 | 2001 | 52 | |
| 9 | 2005 | 48 | |
| 10 | 2021 | 43 | |
| 11 | 2020 | 42 | |
| 12 | Activated N-ras oncogene and N-ras proto-oncogene act through the same pathway for in vivo tumorigenesis. | 1996 | 30 |
| 13 | 2020 | 28 | |
| 14 | 2005 | 28 | |
| 15 | 2021 | 26 | |
| 16 | 2018 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2022 | 23 | |
| 19 | 2022 | 22 | |
| 20 | 2002 | 21 |
About Suying Lü
Suying Lü is a scholar working on Oncology, Molecular Biology, Neurology, Pathology and Forensic Medicine and Cancer Research, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (17 papers), Lymphoma Diagnosis and Treatment (13 papers), Lung Cancer Research Studies (7 papers), Sarcoma Diagnosis and Treatment (7 papers), Cancer-related Molecular Pathways (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), CNS Lymphoma Diagnosis and Treatment (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Cancer Research (208 citations), Molecular Medicine (69 citations), Oncology (271 citations), Molecular Biology (634 citations) and Pollution (82 citations). Suying Lü has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Michael C. Archer, Ramón Mangues, Àngel Pellicer, Fei Zou, Jia Zhu, Marcos Malumbres, Junting Huang, Feifei Sun, W. Fraser Symmans and Yizhuo Zhang. Their work appears in journals such as Frontiers in Oncology, Journal of Clinical Oncology, Cell Death and Disease, PLoS ONE and Frontiers in Immunology.
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.