Caide Lu
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Health Informatics top 10%
Papers in
- Hepatology 20
- Hepatocellular Carcinoma Treatment and Prognosis 18
- Oncology 18
- Pancreatic and Hepatic Oncology Research 14
- Co-authors
- Shengdong Wu (23 shared papers)Shuqi Mao (22 shared papers)Xi Yu (12 shared papers)Nobuhiko Tanigawa (3 shared papers)Jing Huang (6 shared papers)Yukio Chiba (1 shared paper)Rui Fan (3 shared papers)Yong Yang (9 shared papers)
- Journals
- Scientific Reports (5 papers)Frontiers in Oncology (3 papers)Frontiers in Medicine (2 papers)BMC Cancer (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Caide Lu
57 papers receiving 677 citations
Peers
Comparison fields: 5 of 71
- Hepatology 199
- Health Informatics 13
- Oncology 167
- Cancer Research 78
- Pathology and Forensic Medicine 57
Countries citing papers authored by Caide Lu
This map shows the geographic impact of Caide 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 Caide Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caide Lu more than expected).
Fields of papers citing papers by Caide Lu
This network shows the impact of papers produced by Caide 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 Caide Lu. The network helps show where Caide Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Caide 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 62 | |
| 2 | 1999 | 51 | |
| 3 | 2021 | 48 | |
| 4 | 2022 | 39 | |
| 5 | 2016 | 37 | |
| 6 | 2016 | 33 | |
| 7 | 2024 | 33 | |
| 8 | 2022 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2015 | 24 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 16 | |
| 14 | 2015 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2017 | 14 | |
| 17 | 2022 | 12 | |
| 18 | 2017 | 11 | |
| 19 | 2024 | 11 | |
| 20 | 2021 | 11 |
About Caide Lu
Caide Lu is a scholar working on Hepatology, Oncology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 686 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Pancreatic and Hepatic Oncology Research (14 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Organ Transplantation Techniques and Outcomes (5 papers), Cancer, Lipids, and Metabolism (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Ferroptosis and cancer prognosis (3 papers) and Pancreatitis Pathology and Treatment (3 papers). The work is most often cited by research in Hepatology (199 citations), Health Informatics (13 citations), Oncology (167 citations), Cancer Research (78 citations) and Pathology and Forensic Medicine (57 citations). Caide Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shengdong Wu, Shuqi Mao, Xi Yu, Nobuhiko Tanigawa, Jing Huang, Yukio Chiba, Rui Fan, Yong Yang, Hiroshi Isozaki and Takashi Ishibashi. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Frontiers in Medicine, BMC Cancer and PLoS ONE.
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.