Di Lu
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 7
- Hepatology 27
- Hepatocellular Carcinoma Treatment and Prognosis 13
- Liver Disease and Transplantation 11
- Co-authors
- Xiao Xu (55 shared papers)Jianguo Wang (10 shared papers)Xiaonan Xiang (2 shared papers)Shusen Zheng (40 shared papers)Xuyong Wei (44 shared papers)Haiyang Xie (21 shared papers)Jianyong Zhuo (28 shared papers)Qi Ling (10 shared papers)
- Journals
- International Journal of Surgery (3 papers)Frontiers in Oncology (3 papers)Frontiers in Immunology (2 papers)Bioelectromagnetics (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaMadagascarUnited States
In The Last Decade
Di Lu
80 papers receiving 2.2k citations
Di Lu's Hit Papers
Peers
Comparison fields: 5 of 107
- Hepatology 469
- Cancer Research 478
- Immunology 533
- Transplantation 62
- Oncology 572
Countries citing papers authored by Di Lu
This map shows the geographic impact of Di 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 Di Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Lu more than expected).
Fields of papers citing papers by Di Lu
This network shows the impact of papers produced by Di 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 Di Lu. The network helps show where Di Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Di 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting tumor-associated macrophages to synergize tumor immunotherapy Hit paper breakdown → | 2021 | 656 |
| 2 | 2015 | 196 | |
| 3 | 2017 | 84 | |
| 4 | 2020 | 78 | |
| 5 | 2007 | 74 | |
| 6 | 2019 | 72 | |
| 7 | 2020 | 68 | |
| 8 | 2012 | 63 | |
| 9 | 2017 | 55 | |
| 10 | 2017 | 45 | |
| 11 | 2021 | 42 | |
| 12 | 2014 | 41 | |
| 13 | 2015 | 36 | |
| 14 | 2020 | 35 | |
| 15 | 2023 | 33 | |
| 16 | 2021 | 30 | |
| 17 | 2023 | 28 | |
| 18 | 2019 | 27 | |
| 19 | 2021 | 26 | |
| 20 | 2015 | 24 |
About Di Lu
Di Lu is a scholar working on Molecular Biology, Hepatology, Surgery, Oncology and Cancer Research, having authored 88 papers that have together received 2.2k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Liver Disease Diagnosis and Treatment (13 papers), Liver Disease and Transplantation (11 papers), Cancer Immunotherapy and Biomarkers (8 papers), MicroRNA in disease regulation (8 papers), RNA modifications and cancer (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Hepatology (469 citations), Cancer Research (478 citations), Immunology (533 citations), Transplantation (62 citations) and Oncology (572 citations). Di Lu has collaborated with scholars based in China, Madagascar and United States. Frequent co-authors include Xiao Xu, Jianguo Wang, Xiaonan Xiang, Shusen Zheng, Xuyong Wei, Haiyang Xie, Jianyong Zhuo, Qi Ling, Zuyuan Lin and Lin Zhou. Their work appears in journals such as International Journal of Surgery, Frontiers in Oncology, Frontiers in Immunology, Bioelectromagnetics and Cancer Letters.
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.