Zewei Tu

573 citations
34 papers · 399 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation

Papers in

Zewei Tu

32 papers receiving 395 citations

Peers

Zewei Tu
Comparison fields: 5 of 54
  • Cancer Research 138
  • Molecular Biology 229
  • Pulmonary and Respiratory Medicine 88
  • Genetics 27
  • Oncology 62
Replace Madhavi Puchalapalli with:
Madhavi Puchalapalli United States
Mari Hosonaga Japan
Hongjuan Xu China
Natsumi Kawasaki Japan
Shoumin Bai China
Yajing Lyu United States
Nicholas Bayley United States
Yin He China
Haohao Huang China
Zewei Tu relative to Madhavi Puchalapalli United States Madhavi Puchalapalli's profile →
Citations per field
00.5×3.3×
Madhavi Puchalapalli · 1×
Citations per year

Countries citing papers authored by Zewei Tu

Since Specialization
Citations

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

Fields of papers citing papers by Zewei Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020119
2 202242
3 202230
4 202030
5 202118
6 202318
7 202215
8 202214
9 202314
10 202211
11 202110
12 20249
13 20228
14 20227
15 20237
16 20236
17 20245
18 20245
19 20214
20 20214

About Zewei Tu

Zewei Tu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Immunology, having authored 34 papers that have together received 399 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (8 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers), Epigenetics and DNA Methylation (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (138 citations), Molecular Biology (229 citations), Pulmonary and Respiratory Medicine (88 citations), Genetics (27 citations) and Oncology (62 citations). Zewei Tu has collaborated with scholars based in China and United States. Frequent co-authors include Kai Huang, Xingen Zhu, Lei Wu, Chuming Tao, Qing Hu, Jingying Li, Peng Wang, Xiaoyan Long, Xingen Zhu and Miaojing Wu. Their work appears in journals such as Frontiers in Oncology, Frontiers in Immunology, Frontiers in Cell and Developmental Biology, Aging 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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