Di Jin

572 citations
31 papers · 387 indexed · h-index 12
Topics
Bladder and Urothelial Cancer Treatments (10 papers)Prostate Cancer Diagnosis and Treatment (9 papers)Prostate Cancer Treatment and Research (9 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsFrontiers in Immunology
Partner nations
ChinaSwitzerlandGermany

In The Last Decade

Di Jin

30 papers receiving 385 citations

Peers

Di Jin
Comparison fields: 5 of 77
  • Molecular Biology 123
  • Pulmonary and Respiratory Medicine 96
  • Surgery 83
  • Agronomy and Crop Science 72
  • Cancer Research 68
Replace Monika Jurkowska with:
Monika Jurkowska Poland
Jiaqi Li China
Tong Xu China
Xianze Wang China
Lekha Nair India
Jennifer Good United States
Yasunori OHBA Japan
Xiaoling Yan China
P.J. Selman Netherlands
Zhen Hou China
Di Jin relative to Monika Jurkowska Poland Monika Jurkowska's profile →
Citations per field
00.5×
Monika Jurkowska · 1×
Citations per year

Countries citing papers authored by Di Jin

Since Specialization
Citations

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

Fields of papers citing papers by Di Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Di Jin. A scholar is included among the top collaborators of Di Jin 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 Di Jin. Di Jin 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
#WorkIndexed citations
1 6
2 7
3
Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy
5
4 15
5 1
6 11
7 5
8 6
9 43
10 4
11 6
12 1
13 13
14 17
15 13
16 5
17 57
18 12
19 32
20 3

About Di Jin

Di Jin is a scholar working on Pulmonary and Respiratory Medicine, Biological Psychiatry and Statistics and Probability, having authored 31 papers that have together received 387 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (10 papers), Prostate Cancer Diagnosis and Treatment (9 papers) and Prostate Cancer Treatment and Research (9 papers). The work is most often cited by research in Agronomy and Crop Science (72 citations), Cancer Research (68 citations) and Biological Psychiatry (10 citations). Di Jin has collaborated with scholars based in China, Switzerland and Germany. Frequent co-authors include Kun Jin, Shi Qiu, Xianghong Zhou, Xiangzhen Shen, Guangjun Chang, Qiang Wei, Lu Yang, Xiaonan Zheng, Junfei Guo and Kai Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

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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