Xin Lu
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 9
- RNA Research and Splicing 5
- Bone Metabolism and Diseases 5
- Oncology 21
- Co-authors
- Xinting Sang (40 shared papers)Yilei Mao (37 shared papers)Haitao Zhao (26 shared papers)Huayu Yang (24 shared papers)Shouxian Zhong (28 shared papers)Xian‐Da Yang (4 shared papers)Jinhong Duan (4 shared papers)Yiyao Xu (18 shared papers)
- Journals
- PLoS ONE (5 papers)Medicine (5 papers)Oncotarget (3 papers)Journal of Gastroenterology and Hepatology (3 papers)Journal of Cellular and Molecular Medicine (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xin Lu
113 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 126
- Hepatology 311
- Cancer Research 352
- Oncology 389
- Rheumatology 177
- Molecular Biology 799
Countries citing papers authored by Xin Lu
This map shows the geographic impact of Xin 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 Xin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Lu more than expected).
Fields of papers citing papers by Xin Lu
This network shows the impact of papers produced by Xin 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 Xin Lu. The network helps show where Xin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 211 | |
| 2 | 2012 | 149 | |
| 3 | 2012 | 131 | |
| 4 | 2021 | 115 | |
| 5 | 2020 | 103 | |
| 6 | 2023 | 102 | |
| 7 | 2016 | 95 | |
| 8 | 2018 | 84 | |
| 9 | 2020 | 79 | |
| 10 | 2015 | 55 | |
| 11 | 2020 | 53 | |
| 12 | T lymphocytes in hepatocellular carcinoma immune microenvironment: insights into human immunology and immunotherapy. | 2020 | 49 |
| 13 | 2009 | 47 | |
| 14 | 2011 | 47 | |
| 15 | 2011 | 41 | |
| 16 | 2011 | 41 | |
| 17 | 2013 | 38 | |
| 18 | 2016 | 35 | |
| 19 | 2010 | 31 | |
| 20 | 2011 | 27 |
About Xin Lu
Xin Lu is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Hepatology, having authored 119 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), RNA modifications and cancer (9 papers), RNA Research and Splicing (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Bone Metabolism and Diseases (5 papers), Cancer Mechanisms and Therapy (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Hepatology (311 citations), Cancer Research (352 citations), Oncology (389 citations), Rheumatology (177 citations) and Molecular Biology (799 citations). Xin Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xinting Sang, Yilei Mao, Haitao Zhao, Huayu Yang, Shouxian Zhong, Xian‐Da Yang, Jinhong Duan, Yiyao Xu, Fengdan Wang and Hongbing Zhang. Their work appears in journals such as PLoS ONE, Medicine, Oncotarget, Journal of Gastroenterology and Hepatology and Journal of Cellular and Molecular Medicine.
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.