Jun Du

150 papers receiving 6.2k citations

Jun Du's Hit Papers

TGF-β induces M2-like macrophage polarization via SNAIL-mediated suppression of a pro-inflammatory phenotype 2016 · 436 citations
4360+3+6Years since publication100200300400

Peers

Jun Du
Comparison fields: 5 of 160
  • Cancer Research 1.3k
  • Biological Psychiatry 154
  • Health, Toxicology and Mutagenesis 876
  • Oncology 1.5k
  • Clinical Biochemistry 289
Replace Ruth Roberts with:
Ruth Roberts United Kingdom
Li Sun China
Shimin Zhao China
Kui Wang China
Robert B. Hamanaka United States
Teresa W.‐M. Fan United States
Bob van de Water Netherlands
Menghang Xia United States
Xiaoyan Shen China
Jun Du relative to Ruth Roberts United Kingdom Ruth Roberts's profile →
Citations per field
00.5×5.3×
Ruth Roberts · 1×
Citations per year

Countries citing papers authored by Jun Du

Since Specialization
Citations

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

Fields of papers citing papers by Jun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TGF-β induces M2-like macrophage polarization via SNAIL-mediated suppression of a pro-inflammatory phenotype
Hit paper breakdown →
2016436
2 2019312
3 2018248
4 2013244
5 2014167
6 2019156
7 2015134
8 2001127
9 2013120
10 2001118
11 2014116
12 2016115
13 2011114
14 2014114
15 2000104
16 2010103
17 201598
18 201988
19 200987
20 201483

About Jun Du

Jun Du is a scholar working on Molecular Biology, Oncology, Health, Toxicology and Mutagenesis, Immunology and Cancer Research, having authored 155 papers that have together received 6.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (15 papers), Effects and risks of endocrine disrupting chemicals (13 papers), Toxic Organic Pollutants Impact (11 papers), Immune cells in cancer (7 papers), Estrogen and related hormone effects (7 papers), Speech Recognition and Synthesis (7 papers), Tryptophan and brain disorders (7 papers) and Speech and Audio Processing (6 papers). The work is most often cited by research in Cancer Research (1.3k citations), Biological Psychiatry (154 citations), Health, Toxicology and Mutagenesis (876 citations), Oncology (1.5k citations) and Clinical Biochemistry (289 citations). Jun Du has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shaohui Cai, Hongsheng Wang, Xianzhang Bu, Hao Wang, Ge Zhang, Zhuojia Chen, Xianfeng Wang, Binhua P. Zhou, Ming Hung Wong and Hongsheng Wang. Their work appears in journals such as Oncotarget, European Journal of Pharmacology, Journal of Hazardous Materials, Chemical Communications and Journal of Medicinal Chemistry.

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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