Min Tu

1.3k citations
43 papers · 928 indexed · h-index 19

Impact in

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

Papers in

    • Pancreatic and Hepatic Oncology Research 16
    • Cancer-related Molecular Pathways 4
    • Cancer Genomics and Diagnostics 4
    • MicroRNA in disease regulation 3

Min Tu

40 papers receiving 921 citations

Peers

Min Tu
Comparison fields: 5 of 83
  • Cancer Research 321
  • Oncology 391
  • Immunology 160
  • Molecular Biology 486
  • Surgery 157
Replace Weihua Liang with:
Weihua Liang China
Carmen Z. Michaylira United States
Seth Bellister United States
Shenghua Zhan China
Kyu Yeoun Won South Korea
Raffaela Santoro Italy
Wenyi Zhao China
Zuzana Čierna Slovakia
Moubin Lin China
Renyi Qin China
Min Tu relative to Weihua Liang China Weihua Liang's profile →
Citations per field
00.5×1.5×1.9×
Weihua Liang · 1×
Citations per year

Countries citing papers authored by Min Tu

Since Specialization
Citations

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

Fields of papers citing papers by Min Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20229
3 202223
4 202254
5 202059
6 201816
7 201857
8 20171
9 201724
10 201610
11 201614
12 201475
13 201470
14 201412
15 201349
16 20137
17 20124
18 201220
19 201228
20 201292

About Min Tu

Min Tu is a scholar working on Oncology, Cancer Research, Genetics, Immunology and Cell Biology, having authored 43 papers that have together received 928 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (16 papers), Pancreatitis Pathology and Treatment (6 papers), Cancer Genomics and Diagnostics (4 papers), Cancer-related Molecular Pathways (4 papers), Phagocytosis and Immune Regulation (4 papers), Congenital heart defects research (3 papers), Microtubule and mitosis dynamics (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (321 citations), Oncology (391 citations), Immunology (160 citations), Molecular Biology (486 citations) and Surgery (157 citations). Min Tu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yi Miao, Jishu Wei, Kuirong Jiang, Zipeng Lu, Wentao Gao, Yunpeng Peng, Jian‐Min Chen, Qiang Li, Junli Wu and Xiaofeng Xue. Their work appears in journals such as Cancer Letters, Oncology Reports, BMC Cancer, Cell Communication and Signaling and BioMed Research International.

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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