Yiling Lu
- Cancer Research top 0.5%
- Molecular Biology top 0.2%
- PI3K/AKT/mTOR signaling in cancer 40
- Advanced Biosensing Techniques and Applications 25
- Protein Kinase Regulation and GTPase Signaling 13
- Gene expression and cancer classification 13
- Oncology top 0.5%
- Cell Biology top 0.5%
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment 13
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- Advanced Proteomics Techniques and Applications 19
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- Monoclonal and Polyclonal Antibodies Research 16
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- Cancer Mechanisms and Therapy 13
- Co-authors
- Gordon B. MillsBryan T. HennessyPrahlad T. RamDebra L. SmithXianjun FangRobert C. BastShuangxing YuJames R. Woodgett
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yiling Lu
203 papers receiving 15.3k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cancer Research 2.9k
- Molecular Biology 11.6k
- Oncology 3.5k
- Cell Biology 1.8k
- Reproductive Medicine 727
Countries citing papers authored by Yiling Lu
This map shows the geographic impact of Yiling Lu'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 Yiling Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiling Lu more than expected).
Fields of papers citing papers by Yiling Lu
This network shows the impact of papers produced by Yiling Lu. 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 Yiling Lu. The network helps show where Yiling Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yiling Lu, 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 | 6 | |
| 3 | 2020 | 29 | |
| 4 | 2017 | 43 | |
| 5 | 2017 | 83 | |
| 6 | 2017 | 29 | |
| 7 | 2016 | 34 | |
| 8 | 2015 | 22 | |
| 9 | 2015 | 46 | |
| 10 | 2014 | 71 | |
| 11 | 2014 | 152 | |
| 12 | 2012 | 70 | |
| 13 | 2012 | 54 | |
| 14 | 2011 | 205 | |
| 15 | 2011 | 352 | |
| 16 | 2010 | 45 | |
| 17 | 2010 | 71 | |
| 18 | 2010 | 164 | |
| 19 | 2008 | 230 | |
| 20 | 2007 | 94 |
About Yiling Lu
Yiling Lu is a scholar working on Molecular Biology, Cancer Research and Reproductive Medicine, having authored 209 papers that have together received 15.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (40 papers), Advanced Biosensing Techniques and Applications (25 papers), Advanced Proteomics Techniques and Applications (19 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Ovarian cancer diagnosis and treatment (13 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Gene expression and cancer classification (13 papers) and Cancer Mechanisms and Therapy (13 papers). The work is most often cited by research in Cancer Research (2.9k citations), Molecular Biology (11.6k citations) and Oncology (3.5k citations). Yiling Lu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Gordon B. Mills, Bryan T. Hennessy, Prahlad T. Ram, Debra L. Smith, Xianjun Fang, Robert C. Bast, Shuangxing Yu, James R. Woodgett, Ruth LaPushin and Joe W. Gray. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Oncogene, Cancer Cell and Clinical Cancer 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.