Jin Lu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
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- Cancer-related molecular mechanisms research 22
- MicroRNA in disease regulation 20
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- Circular RNAs in diseases 20
- RNA modifications and cancer 7
- Epigenetics and DNA Methylation 6
- Co-authors
- Robert C. Clarke (13 shared papers)Kuo Zhang (3 shared papers)Yongqing Lai (25 shared papers)Shangqi Yang (22 shared papers)Leena A Hilakivi-Clarke (7 shared papers)Ayesha N. Shajahan‐Haq (6 shared papers)Anni M. Wärri (4 shared papers)Yaoting Gui (15 shared papers)
- Journals
- Breast Cancer Research (4 papers)Scientific Reports (4 papers)Oncotarget (3 papers)Oncology Reports (3 papers)Composite Structures (2 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Jin Lu
135 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 155
- Cancer Research 557
- Molecular Biology 1.1k
- Geriatrics and Gerontology 42
- Developmental Neuroscience 50
- Cell Biology 177
Countries citing papers authored by Jin Lu
This map shows the geographic impact of Jin 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 Jin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Lu more than expected).
Fields of papers citing papers by Jin Lu
This network shows the impact of papers produced by Jin 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 Jin Lu. The network helps show where Jin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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
Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 146 | |
| 2 | 2012 | 137 | |
| 3 | 2010 | 97 | |
| 4 | 2014 | 80 | |
| 5 | 2019 | 74 | |
| 6 | 2019 | 69 | |
| 7 | 2014 | 63 | |
| 8 | 2017 | 63 | |
| 9 | 2016 | 53 | |
| 10 | 2013 | 49 | |
| 11 | 2009 | 43 | |
| 12 | 2016 | 41 | |
| 13 | 2018 | 38 | |
| 14 | 2020 | 37 | |
| 15 | 2016 | 36 | |
| 16 | 2014 | 36 | |
| 17 | 2004 | 36 | |
| 18 | 2005 | 35 | |
| 19 | 2017 | 33 | |
| 20 | 2015 | 33 |
About Jin Lu
Jin Lu is a scholar working on Cancer Research, Molecular Biology, Oncology, Cell Biology and Pharmacology, having authored 151 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (22 papers), MicroRNA in disease regulation (20 papers), Circular RNAs in diseases (20 papers), RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Adipose Tissue and Metabolism (5 papers) and Bauxite Residue and Utilization (4 papers). The work is most often cited by research in Cancer Research (557 citations), Molecular Biology (1.1k citations), Geriatrics and Gerontology (42 citations), Developmental Neuroscience (50 citations) and Cell Biology (177 citations). Jin Lu has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Robert C. Clarke, Kuo Zhang, Yongqing Lai, Shangqi Yang, Leena A Hilakivi-Clarke, Ayesha N. Shajahan‐Haq, Anni M. Wärri, Yaoting Gui, Xiangming Mao and Katherine Loree Cook. Their work appears in journals such as Breast Cancer Research, Scientific Reports, Oncotarget, Oncology Reports and Composite Structures.
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.