Liming Du

2.6k citations
24 papers · 1.7k · 1 hit paper · h-index 16

Impact in

Papers in

Liming Du

24 papers receiving 1.7k citations

Liming Du's Hit Papers

Tumour-associated mesenchymal stem/stromal cells: emerging therapeutic targets 2016 · 379 citations
3790+3+6Years since publication100200300

Peers

Liming Du
Comparison fields: 5 of 107
  • Genetics 411
  • Cancer Research 265
  • Immunology 290
  • Oncology 332
  • Molecular Biology 657
Replace Virginia Egea with:
Virginia Egea Germany
Xing Shen China
Cristina Giacinti Italy
Hsei–Wei Wang Taiwan
Brahmananda R. Chitteti United States
Myung‐Shin Jeon South Korea
Keisuke Nimura Japan
Sergio Ruiz Spain
Inna Dumler Germany
Ken Yagi Japan
Liming Du relative to Virginia Egea Germany Virginia Egea's profile →
Citations per field
00.5×3.5×
Virginia Egea · 1×
Citations per year

Countries citing papers authored by Liming Du

Since Specialization
Citations

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

Fields of papers citing papers by Liming Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tumour-associated mesenchymal stem/stromal cells: emerging therapeutic targets
Hit paper breakdown →
2016379
2 2005279
3 2019145
4 2007102
5 2013100
6 201788
7 201382
8 201978
9 201576
10 201672
11 202061
12 201361
13 202045
14 202336
15 202126
16 201624
17 202113
18 20238
19 20218
20 20227

About Liming Du

Liming Du is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Cancer Research, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), Immune cells in cancer (6 papers), Cancer Cells and Metastasis (4 papers), MicroRNA in disease regulation (4 papers), Immune Cell Function and Interaction (3 papers), Extracellular vesicles in disease (3 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Genetics (411 citations), Cancer Research (265 citations), Immunology (290 citations), Oncology (332 citations) and Molecular Biology (657 citations). Liming Du has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Liangyu Lin, Ying Wang, Yufang Shi, Ping Wu, Longbiao Guo, Keke Yi, Jie Zhou, Zhongchang Wu, Yunrong Wu and Yin Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene, Advanced Science, Developmental Cell and Cell Reports.

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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