Weiding Wu

940 citations
37 papers · 670 indexed · h-index 17
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 4
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research 11
    • Peptidase Inhibition and Analysis 3
    • RNA modifications and cancer 4
    • Cholangiocarcinoma and Gallbladder Cancer Studies 6
    • Immune Cell Function and Interaction 4
    • Neuroendocrine Tumor Research Advances 3

Weiding Wu

37 papers receiving 662 citations

Peers

Weiding Wu
Comparison fields: 5 of 55
  • Cancer Research 226
  • Oncology 248
  • Molecular Biology 345
  • Surgery 196
  • Hepatology 35
Replace Shingo Kagawa with:
Shingo Kagawa Japan
Kshitij S. Arora United States
Linni Fan China
Sen Guo China
Toshimasa Yatsuoka Japan
Shinsuke Kanekiyo Japan
Tae Sung Ahn South Korea
Xianmin Bu China
Zuyi Ma China
Moon Soo Lee South Korea
Weiding Wu relative to Shingo Kagawa Japan Shingo Kagawa's profile →
Citations per field
00.5×1.5×2.1×
Shingo Kagawa · 1×
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-authorship network

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
#Work
1 202414
2 20243
3 20244
4 20237
5 20234
6 202223
7 20223
8 202218
9 202228
10 202030
11 202023
12 20199
13 201933
14 201930
15 20182
16 201717
17 20163
18 201514
19 20145
20 20143

About Weiding Wu

Weiding Wu is a scholar working on Oncology, Cancer Research, Immunology, Hepatology and Gastroenterology, having authored 37 papers that have together received 670 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (11 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Immune Cell Function and Interaction (4 papers), RNA modifications and cancer (4 papers), Peptidase Inhibition and Analysis (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Cancer Research (226 citations), Oncology (248 citations), Molecular Biology (345 citations), Surgery (196 citations) and Hepatology (35 citations). Weiding Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiming Hu, Long‐Yun Ye, Xianjun Yu, Kaizhou Jin, Cheng-Wu Zhang, Defei Hong, Boan Zheng, Xiqiang Liu, Xiaowu Xu and Zhenyuan Qian. Their work appears in journals such as Cell Death and Disease, Acta Biochimica et Biophysica Sinica, Medicine, International Journal of Molecular Sciences and Surgical Endoscopy.

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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