Weiwei Tang

7.0k citations
122 papers · 4.3k indexed · 4 hit papers · h-index 32

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Extracellular vesicles in disease

Papers in

    • MicroRNA in disease regulation 18
    • Cancer-related molecular mechanisms research 16
    • Cancer Immunotherapy and Biomarkers 14

Weiwei Tang

120 papers receiving 4.2k citations

Hit Papers

Mechanism insights and therapeutic intervention of tumor metastasis: latest developments and perspectives 2024 · 84 citations
842017202620202023250500750

Peers

Weiwei Tang
Comparison fields: 5 of 146
  • Cancer Research 2.0k
  • Molecular Biology 2.7k
  • Hepatology 229
  • Immunology 574
  • Oncology 667
Replace Hongping Xia with:
Hongping Xia China
Yingchao Wang China
Daiming Fan China
Yue Zhao China
Xiujuan Qu China
Jing Pan United States
Ying Han China
Yexiong Tan China
Cun Wang China
Ding Ma China
Weiwei Tang relative to Hongping Xia China Hongping Xia's profile →
Citations per field
00.5×
Hongping Xia · 1×
Citations per year

Countries citing papers authored by Weiwei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 202410
4 202329
5 20236
6 202322
7 202317
8 202352
9 202257
10 202211
11 202232
12 20224
13 20228
14 202112
15 202123
16 202177
17 202117
18
Inhibition of Serine Metabolism Promotes Resistance to Cisplatin in Gastric Cancer
20201
19 202026
20 200778

About Weiwei Tang

Weiwei Tang is a scholar working on Cancer Research, Oncology, Immunology, Molecular Biology and Complementary and alternative medicine, having authored 122 papers that have together received 4.3k indexed citations. Recurring topics across this work include Circular RNAs in diseases (24 papers), MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (16 papers), Cancer Immunotherapy and Biomarkers (14 papers), RNA modifications and cancer (10 papers), Immune cells in cancer (10 papers), RNA Research and Splicing (8 papers) and Ferroptosis and cancer prognosis (8 papers). The work is most often cited by research in Cancer Research (2.0k citations), Molecular Biology (2.7k citations), Hepatology (229 citations), Immunology (574 citations) and Oncology (667 citations). Weiwei Tang has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Dawei Rong, Xuehao Wang, Hongyong Cao, Fan Wu, Qian Wang, Handong Sun, Ye Cheng, Wenling Zhang, Kai Fu and Zhouxiao Li. Their work appears in journals such as OncoTargets and Therapy, Journal of Oncology, Scientific Reports, Cancer Research and Journal for ImmunoTherapy of 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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