Xurui Jin

1.2k citations
30 papers · 718 indexed · 1 hit paper · h-index 14
Topics
Nutritional Studies and Diet (6 papers)Health disparities and outcomes (5 papers)Dementia and Cognitive Impairment Research (4 papers)
Journals
The LancetCirculationSHILAP Revista de lepidopterología

In The Last Decade

Xurui Jin

29 papers receiving 710 citations

Hit Papers

Women’s Participation in Cardiovascular Clinical Trials F...2020202620222024202050100150200

Peers

Xurui Jin
Comparison fields: 5 of 110
  • Public Health, Environmental and Occupational Health 181
  • Cardiology and Cardiovascular Medicine 151
  • Physiology 115
  • Molecular Biology 88
  • Health, Toxicology and Mutagenesis 80
Replace Binbin Su with:
Binbin Su China
Anneke Blokstra Netherlands
Macarius Donneyong United States
Arseniy Yashkin United States
Benjamin Seligman United States
Bianca W. M. Schalk Netherlands
Anlan Cao United States
Jennifer L. Rodgers United States
Suh-Yuh Wu United States
Abdonas Tamošiūnas Lithuania
Xurui Jin relative to Binbin Su China Binbin Su's profile →
Citations per field
00.5×3.2×
Binbin Su · 1×
Citations per year

Countries citing papers authored by Xurui Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xurui Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xurui Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xurui Jin. A scholar is included among the top collaborators of Xurui 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 Xurui Jin. Xurui 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 7
2 0
3 9
4 39
5 3
6 13
7 7
8 7
9 2
10 27
11 25
12 83
13 13
14 3
15 20
16 7
17 36
18 25
19 6
20 33

About Xurui Jin

Xurui Jin is a scholar working on Neuropsychology and Physiological Psychology, Health and Aging, having authored 30 papers that have together received 718 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (6 papers), Health disparities and outcomes (5 papers) and Dementia and Cognitive Impairment Research (4 papers). The work is most often cited by research in Geriatrics and Gerontology (37 citations), Neuropsychology and Physiological Psychology (13 citations) and Health (69 citations). Xurui Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lijing L. Yan, Enying Gong, Carolyn S.P. Lam, Chanchal Chandramouli, Yi Zeng, Zhangming Niu, Yaxi Li, John S. Ji, Yao Yao and Xiangxiang Zeng. Their work appears in journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

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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