Caide Lu

967 citations
64 papers · 617 · h-index 14

Impact in

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 17
    • Pancreatic and Hepatic Oncology Research 14

Caide Lu

56 papers receiving 612 citations

Peers

Caide Lu
Comparison fields: 5 of 71
  • Hepatology 188
  • Health Informatics 12
  • Oncology 154
  • Cancer Research 68
  • Pathology and Forensic Medicine 54
Replace Fidel David Huitzil Melendez with:
Fidel David Huitzil Melendez Mexico
Zhiyuan Bo China
Roxanne Desiderio United States
Xiufeng Liu China
Kohei Nishio Japan
Jun Qian China
Norio Noguchi Japan
Rocky L.K. Ho Hong Kong
Ibon Martínez‐Arranz Spain
Qifan Zhang China
Caide Lu relative to Fidel David Huitzil Melendez Mexico Fidel David Huitzil Melendez's profile →
Citations per field
00.5×
Fidel David Huitzil Melendez · 1×
Citations per year

Countries citing papers authored by Caide Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Caide Lu Line = papers co-authored together Caide Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199958
2 199949
3 202147
4 202237
5 201635
6 201629
7 202226
8 202426
9 201521
10 201921
11 202117
12 202217
13 202116
14 202214
15 201513
16 201712
17 202210
18 202210
19 201710
20 20229

About Caide Lu

Caide Lu is a scholar working on Hepatology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 64 papers that have together received 617 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Pancreatic and Hepatic Oncology Research (14 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Cancer, Lipids, and Metabolism (6 papers), Organ Transplantation Techniques and Outcomes (5 papers), Ferroptosis and cancer prognosis (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and Pancreatitis Pathology and Treatment (3 papers). The work is most often cited by research in Hepatology (188 citations), Health Informatics (12 citations), Oncology (154 citations), Cancer Research (68 citations) and Pathology and Forensic Medicine (54 citations). Caide Lu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shengdong Wu, Shuqi Mao, Xi Yu, Nobuhiko Tanigawa, Jing Huang, Yukio Chiba, Rui Fan, Yong Yang, Takashi Ishibashi and Hiroshi Isozaki. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, PLoS ONE, European Journal of Gastroenterology & Hepatology and BMC Cancer.

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.

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