Zhen Lü
Impact in
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 11
- Epidemiology 26
- Autophagy in Disease and Therapy 23
- Co-authors
- Robert C. Bast (82 shared papers)Douglas Cyr (2 shared papers)Warren S.‐L. Liao (13 shared papers)Yinhua Yu (14 shared papers)Karen H. Lu (16 shared papers)Donna Badgwell (6 shared papers)Robert Z. Luo (9 shared papers)Steven J. Skates (8 shared papers)
- Journals
- Cancer Research (18 papers)Cancer (7 papers)Clinical Cancer Research (6 papers)Cancers (6 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Zhen Lü
156 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 140
- Reproductive Medicine 679
- Cancer Research 863
- Molecular Biology 2.7k
- Oncology 848
- Obstetrics and Gynecology 180
Countries citing papers authored by Zhen Lü
This map shows the geographic impact of Zhen 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 Zhen Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Lü more than expected).
Fields of papers citing papers by Zhen Lü
This network shows the impact of papers produced by Zhen 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 Zhen Lü. The network helps show where Zhen Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhen 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 396 | |
| 2 | 2005 | 385 | |
| 3 | 1998 | 193 | |
| 4 | 2008 | 189 | |
| 5 | 2009 | 165 | |
| 6 | 1998 | 162 | |
| 7 | 2008 | 133 | |
| 8 | AKT-1, -2, and -3 are expressed in both normal and tumor tissues of the lung, breast, prostate, and colon. | 2001 | 132 |
| 9 | 2011 | 121 | |
| 10 | 2011 | 110 | |
| 11 | 2010 | 108 | |
| 12 | 2017 | 103 | |
| 13 | 2007 | 90 | |
| 14 | 2014 | 87 | |
| 15 | 2010 | 77 | |
| 16 | 2011 | 77 | |
| 17 | 2014 | 75 | |
| 18 | 2020 | 73 | |
| 19 | 2019 | 67 | |
| 20 | 2014 | 67 |
About Zhen Lü
Zhen Lü is a scholar working on Molecular Biology, Epidemiology, Oncology, Genetics and Reproductive Medicine, having authored 161 papers that have together received 5.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (23 papers), Ovarian cancer diagnosis and treatment (18 papers), Genetic Syndromes and Imprinting (13 papers), Epigenetics and DNA Methylation (11 papers), Cancer-related Molecular Pathways (11 papers), Cancer-related molecular mechanisms research (10 papers), Microtubule and mitosis dynamics (7 papers) and Cancer Mechanisms and Therapy (7 papers). The work is most often cited by research in Reproductive Medicine (679 citations), Cancer Research (863 citations), Molecular Biology (2.7k citations), Oncology (848 citations) and Obstetrics and Gynecology (180 citations). Zhen Lü has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert C. Bast, Douglas Cyr, Warren S.‐L. Liao, Yinhua Yu, Karen H. Lu, Donna Badgwell, Robert Z. Luo, Steven J. Skates, Weiqun Mao and Hailing Yang. Their work appears in journals such as Cancer Research, Cancer, Clinical Cancer Research, Cancers and Journal of Biological Chemistry.
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.