Xiaojie Lu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 2%
Papers in
-
- Circular RNAs in diseases 13
- RNA modifications and cancer 10
-
- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 7
- Co-authors
- Li-Juan Ji (7 shared papers)Anliang Xia (3 shared papers)Tailang Yin (4 shared papers)Jincheng Wang (11 shared papers)Jinlian Chen (8 shared papers)Jin‐Yu Sun (8 shared papers)Jiansong Ji (6 shared papers)Xu Jiang (1 shared paper)
- Journals
- Journal of Cellular Physiology (11 papers)Oncotarget (5 papers)Frontiers in Immunology (4 papers)Journal of Medical Genetics (3 papers)Journal of Cellular Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaojie Lu
108 papers receiving 3.7k citations
Xiaojie Lu's Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 913
- Hepatology 255
- Molecular Biology 1.9k
- Oncology 631
- Immunology 508
Countries citing papers authored by Xiaojie Lu
This map shows the geographic impact of Xiaojie 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 Xiaojie Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojie Lu more than expected).
Fields of papers citing papers by Xiaojie Lu
This network shows the impact of papers produced by Xiaojie 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 Xiaojie Lu. The network helps show where Xiaojie Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojie 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 257 | |
| 2 | 2020 | 183 | |
| 3 | PPAR-γ signaling in nonalcoholic fatty liver disease: Pathogenesis and therapeutic targets Hit paper breakdown → | 2023 | 180 |
| 4 | 2017 | 143 | |
| 5 | 2015 | 140 | |
| 6 | 2015 | 134 | |
| 7 | 2018 | 118 | |
| 8 | 2014 | 113 | |
| 9 | 2016 | 112 | |
| 10 | 2017 | 101 | |
| 11 | 2019 | 91 | |
| 12 | 2019 | 87 | |
| 13 | 2010 | 81 | |
| 14 | 2015 | 73 | |
| 15 | 2010 | 70 | |
| 16 | 2017 | 58 | |
| 17 | 2016 | 57 | |
| 18 | 2017 | 56 | |
| 19 | 2018 | 55 | |
| 20 | 2016 | 55 |
About Xiaojie Lu
Xiaojie Lu is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Immunology, having authored 112 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), Circular RNAs in diseases (13 papers), Cancer Immunotherapy and Biomarkers (11 papers), RNA modifications and cancer (10 papers), Immune Cell Function and Interaction (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Liver Disease Diagnosis and Treatment (8 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Cancer Research (913 citations), Hepatology (255 citations), Molecular Biology (1.9k citations), Oncology (631 citations) and Immunology (508 citations). Xiaojie Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Li-Juan Ji, Anliang Xia, Tailang Yin, Jincheng Wang, Jinlian Chen, Jin‐Yu Sun, Jiansong Ji, Xu Jiang, Yan Zhang and Xu Jiang. Their work appears in journals such as Journal of Cellular Physiology, Oncotarget, Frontiers in Immunology, Journal of Medical Genetics and Journal of Cellular Biochemistry.
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.