Jin Du

475 citations
24 papers · 370 · h-index 13

Impact in

Papers in

Jin Du

24 papers receiving 367 citations

Peers

Jin Du
Comparison fields: 5 of 90
  • Cancer Research 61
  • Urology 23
  • Pathology and Forensic Medicine 55
  • Physiology 69
  • Immunology 50
Replace Joon-Il Jun with:
Joon-Il Jun United States
Zhuo-la Liu China
So Ra Lee South Korea
Marco Checa Mexico
Tristan W. Fowler United States
Rima Sulniute Sweden
Daniela Cici Italy
A. Benetti Italy
Ashraf Fakhrjou Iran
Yosuke Masamoto Japan
Jin Du relative to Joon-Il Jun United States Joon-Il Jun's profile →
Citations per field
00.5×1.5×2.3×
Joon-Il Jun · 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 201751
2 201644
3 202133
4 201632
5 201430
6 201422
7 201716
8
StIL-17 gene polymorphisms in the development of pulmonary tuberculosis.
201516
9 202015
10 202014
11 201513
12 202112
13 201412
14 202110
15
Ion exchange tumor targeting: a new approach.
199910
16 20229
17 20229
18 20239
19 20223
20
[Transferrin receptor expression of human mesenchymal stem cells and in vitro tracking by autoradiography after transplantation in spinal cord].
20043

About Jin Du

Jin Du is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 24 papers that have together received 370 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cancer Research and Treatments (2 papers), Healthcare Operations and Scheduling Optimization (2 papers), Asthma and respiratory diseases (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Knee injuries and reconstruction techniques (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (61 citations), Urology (23 citations), Pathology and Forensic Medicine (55 citations), Physiology (69 citations) and Immunology (50 citations). Jin Du has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include Jianjun Wang, Fang Zhou, Yajun Zhang, Herman S. Dhotar, Jichang Han, Yong Gao, Hengliang Shi, Yuxuan Wu, Rutong Yu and Yijie Zhang. Their work appears in journals such as Frontiers in Oncology, IUBMB Life, Aging, Orthopaedics & Traumatology Surgery & Research and Oncology 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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