Di Jin

871 total citations
44 papers, 591 citations indexed

About

Di Jin is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Di Jin has authored 44 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Di Jin's work include Congenital Diaphragmatic Hernia Studies (6 papers), Neonatal Respiratory Health Research (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). Di Jin is often cited by papers focused on Congenital Diaphragmatic Hernia Studies (6 papers), Neonatal Respiratory Health Research (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). Di Jin collaborates with scholars based in China, United States and Canada. Di Jin's co-authors include Xiangyan Li, Yong Zhao, Lianjun Zhang, Yong Zhao, Jianxia Peng, Xiuge Wang, Jialin Zheng, Wei Li, Daqing Zhao and Bin Gao and has published in prestigious journals such as Journal of Ethnopharmacology, Molecular & Cellular Proteomics and Neural Networks.

In The Last Decade

Di Jin

39 papers receiving 580 citations

Peers

Di Jin
Comparison fields: 5 of 105
  • Molecular Biology 167
  • Pulmonary and Respiratory Medicine 134
  • Surgery 128
  • Immunology 93
  • Epidemiology 85
Replace Shufen Yang with:
Shufen Yang China
Ricardo Gamboa Mexico
Yeo Hyang Kim South Korea
Volkan İnal Türkiye
Bolin Li China
Tomoyuki Harada Japan
Yanmei Wang China
Natalia Muñoz‐Durango Chile
Ching-Mei Hsu Taiwan
Geertje Thuijls Netherlands
Shufen Yang China View profile →
Citations per field, relative to Di Jin
Di Jin · 1×
Citations per year, relative to Di Jin
Di Jin · 1×

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
# Work Indexed citations
1 14
2 0
3 4
4 3
5 9
6 26
7 18
8 13
9 28
10 25
11 3
12 14
13 13
14 16
15
Antioxidant activity of polysaccharides from Scutellaria baicalensis Georgi in vitro
1
16
Effect of Flavonoids from Scutellaria baicalensis on Growth Performance and Immune Function of Broilers
5
17 33
18 9
19 30
20 30

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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