Di Shen
- Pollution top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism
- Cardiology and Cardiovascular Medicine
- Nephrology top 10%
- Co-authors
- Nanfang LiXintian CaiWenbo YangShuaiwei SongYanzheng GaoMichael Gatheru WaigiZhao MaWanting Ling
- Topics
- Hormonal Regulation and Hypertension (7 papers)Vitamin D Research Studies (3 papers)Blood Pressure and Hypertension Studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsACS Applied Materials & Interfaces
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Di Shen
24 papers receiving 341 citations
Peers
Comparison fields: 5 of 86
- Pollution 95
- Epidemiology 86
- Endocrinology, Diabetes and Metabolism 64
- Cardiology and Cardiovascular Medicine 57
- Nephrology 47
Countries citing papers authored by Di Shen
This map shows the geographic impact of Di Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Shen more than expected).
Fields of papers citing papers by Di Shen
This network shows the impact of papers produced by Di Shen. 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 Shen. The network helps show where Di Shen may publish in the future.
Co-authorship network of co-authors of Di Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Di Shen. A scholar is included among the top collaborators of Di Shen 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 Shen. Di Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 30 | |
| 7 | 14 | |
| 8 | 20 | |
| 9 | 18 | |
| 10 | 20 | |
| 11 | 34 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 46 | |
| 16 | 3 | |
| 17 | Genetic diversity analyses of Cucumis sativus L. var. xishuangbannanesis population based on SSR markers | 1 |
| 18 | Pathogenicity analysis of different Botrytis cinerea strains in cucumber. | 1 |
| 19 | Phylogenetic analysis of cultivated radish ({\sl Raphanus sativus} L.) germplasm with AFLP | 3 |
| 20 | 12 |
About Di Shen
Di Shen is a scholar working on Horticulture, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 30 papers that have together received 345 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Vitamin D Research Studies (3 papers) and Blood Pressure and Hypertension Studies (3 papers). The work is most often cited by research in Pollution (95 citations), Nephrology (47 citations) and Molecular Medicine (24 citations). Di Shen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Nanfang Li, Xintian Cai, Wenbo Yang, Shuaiwei Song, Yanzheng Gao, Michael Gatheru Waigi, Zhao Ma, Wanting Ling, Qing Zhu and Juan Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACS Applied Materials & Interfaces.
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.