Jin Du

475 total citations
24 papers, 370 citations indexed

About

Jin Du is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jin Du has authored 24 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Jin Du's work include Cancer, Hypoxia, and Metabolism (4 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Cancer Research and Treatments (2 papers). Jin Du is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Cancer Research and Treatments (2 papers). Jin Du collaborates with scholars based in China, Canada and Sweden. Jin Du's co-authors include Fang Zhou, Jianjun Wang, Yajun Zhang, Herman S. Dhotar, Jichang Han, Yong Gao, Rutong Yu, Yuxuan Wu, Hengliang Shi and Yijie Zhang and has published in prestigious journals such as PLoS ONE, Journal of Bone and Joint Surgery and European Spine Journal.

In The Last Decade

Jin Du

24 papers receiving 367 citations

Peers

Jin Du
Comparison fields: 5 of 90
  • Molecular Biology 135
  • Physiology 69
  • Oncology 61
  • Cancer Research 61
  • Pathology and Forensic Medicine 55
Replace Ioanna Ε. Stergiou with:
Ioanna Ε. Stergiou Greece
Rafiou Agoro United States
H. Li China
Ludmila Lozneanu Romania
Daniela Cici Italy
Nidhi Gupta India
Kate Williamson United Kingdom
Rongxin Sun China
Sarah Beck-Cormier France
Masayuki Sato Japan
Ioanna Ε. Stergiou Greece View profile →
Citations per field, relative to Jin Du
Jin Du · 1×
Citations per year, relative to Jin Du
Jin Du · 1×

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-authorship network of co-authors of Jin Du

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Du. A scholar is included among the top collaborators of Jin Du based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Du. Jin Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 9
3 2
4 9
5 3
6 9
7 10
8 33
9 12
10 14
11 15
12 16
13 51
14 32
15 44
16 13
17 22
18 30
19
[Effect of uighur medicine abnormal savda munzip on human hypertrophic scar fibroblasts in vitro].
2
20
[Immunoscintigraphy of anti-type IV collagenase monoclonal antibody in nude mice bearing human lung cancer xenograft].
1

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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