Jin Du

494 citations
24 papers · 381 · h-index 13

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Histone Deacetylase Inhibitors Research 2
    • S100 Proteins and Annexins 1
    • Cancer, Hypoxia, and Metabolism 4

Jin Du

24 papers receiving 378 citations

Peers

Jin Du
Comparison fields: 5 of 87
  • Urology 26
  • Cancer Research 54
  • Pathology and Forensic Medicine 46
  • Physiology 55
  • Biological Psychiatry 5
Replace Flávia Caló de Aquino Xavier with:
Flávia Caló de Aquino Xavier Brazil
Tristan W. Fowler United States
Rima Sulniute Sweden
A. Benetti Italy
So Ra Lee South Korea
Lado Lako Loro Norway
Chieko Aoki Japan
Takuya Owari Japan
Longwei Qiao China
Imène Melki Canada
Jin Du relative to Flávia Caló de Aquino Xavier Brazil Flávia Caló de Aquino Xavier's profile →
Citations per field
00.5×3.3×
Flávia Caló de Aquino Xavier · 1×
Citations per year

Countries citing papers authored by Jin Du

Since Specialization
Citations

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

Fields of papers citing papers by Jin Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin 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 Jin Du Line = papers co-authored together Jin 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 201752
2 201645
3 202135
4 201632
5 201430
6 201422
7 202016
8
StIL-17 gene polymorphisms in the development of pulmonary tuberculosis.
201516
9 201716
10 202015
11 201513
12 202113
13 201412
14 202210
15 202210
16 202110
17 202310
18
Ion exchange tumor targeting: a new approach.
199910
19
[Transferrin receptor expression of human mesenchymal stem cells and in vitro tracking by autoradiography after transplantation in spinal cord].
20043
20 20223

About Jin Du

Jin Du is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 24 papers that have together received 381 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Ubiquitin and proteasome pathways (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Periodontal Regeneration and Treatments (2 papers), Alzheimer's disease research and treatments (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Urology (26 citations), Cancer Research (54 citations), Pathology and Forensic Medicine (46 citations), Physiology (55 citations) and Biological Psychiatry (5 citations). Jin Du has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jianjun Wang, Zhou Fang, Yajun Zhang, Herman S. Dhotar, Jichang Han, Yong Gao, Rutong Yu, Hengliang Shi, Yuxuan Wu and Yijie Zhang. Their work appears in journals such as IUBMB Life, Frontiers in Oncology, PLoS ONE, Aging and Journal of Asthma.

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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