Weiding Wu

969 citations
38 papers · 762 · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Pancreatic and Hepatic Oncology Research 12
    • Hepatocellular Carcinoma Treatment and Prognosis 4
    • Liver Disease and Transplantation 2

Weiding Wu

38 papers receiving 744 citations

Peers

Weiding Wu
Comparison fields: 5 of 57
  • Cancer Research 122
  • Oncology 190
  • Hepatology 46
  • Molecular Biology 211
  • Surgery 124
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Citations per field
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Citations per year

Countries citing papers authored by Weiding Wu

Since Specialization
Citations

This map shows the geographic impact of Weiding Wu'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 Weiding Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiding Wu more than expected).

Fields of papers citing papers by Weiding Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weiding Wu. 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 Weiding Wu. The network helps show where Weiding Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Weiding Wu, 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 Weiding Wu Line = papers co-authored together Weiding Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201791
2 201467
3 201841
4 201940
5 201937
6 202237
7 202236
8 201932
9 202031
10
Pancreatectomy combined with superior mesenteric-portal vein resection: report of 32 cases.
200526
11 202226
12 202025
13 202323
14 202423
15 202221
16 202120
17 201519
18 201718
19 202018
20
Surgical treatment for Nevin stage IV and V gallbladder carcinoma: report of 70 cases.
200516

About Weiding Wu

Weiding Wu is a scholar working on Oncology, Hepatology, Immunology, Cancer Research and Surgery, having authored 38 papers that have together received 762 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (12 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Immune cells in cancer (2 papers), Liver Disease and Transplantation (2 papers), Gallbladder and Bile Duct Disorders (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (122 citations), Oncology (190 citations), Hepatology (46 citations), Molecular Biology (211 citations) and Surgery (124 citations). Weiding Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Long‐Yun Ye, Xianjun Yu, Zhiming Hu, Kaizhou Jin, Cheng-Wu Zhang, Defei Hong, Boan Zheng, Yuhua Zhang, Xiqiang Liu and Xiaowu Xu. Their work appears in journals such as Cell Death and Disease, Acta Biochimica et Biophysica Sinica, International Journal of Molecular Sciences, World Journal of Surgical Oncology 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.

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