Yun Shi

1.4k citations
73 papers · 936 indexed · h-index 18
Topics
Diabetes and associated disorders (10 papers)Stress Responses and Cortisol (10 papers)Diabetes Management and Research (9 papers)
Partner nations
ChinaUnited StatesRussia

In The Last Decade

Yun Shi

68 papers receiving 921 citations

Peers

Yun Shi
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 228
  • Molecular Biology 204
  • Genetics 183
  • Immunology 141
  • Surgery 118
Replace Sebastian D. Parlee with:
Sebastian D. Parlee United States
Dariusz Kajdaniuk Poland
Josef Včelák Czechia
Zofia Ostrowska Poland
Cherie Chiang Australia
Risto Erkkola Finland
Xia Zhang China
Danhua Pu China
Dennis Heutling Germany
Monica D’Adamo Italy
Yun Shi relative to Sebastian D. Parlee United States Sebastian D. Parlee's profile →
Citations per field
00.5×1.5×2.1×
Sebastian D. Parlee · 1×
Citations per year

Countries citing papers authored by Yun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Shi. A scholar is included among the top collaborators of Yun Shi 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 Yun Shi. Yun Shi 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
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10 17
11 1
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13 16
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15 25
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[Study on drop-out from antiretroviral therapy among adult HIV-infected individuals in Dehong prefecture, Yunnan province].
1
17 30
18 16
19 20
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[Survival analysis on 3103 HIV/AIDS patients receiving antiretroviral treatment in Dehong prefecture, Yunnan province].
7

About Yun Shi

Yun Shi is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Endocrinology, Diabetes and Metabolism, having authored 73 papers that have together received 936 indexed citations. Recurring topics across this work include Diabetes and associated disorders (10 papers), Stress Responses and Cortisol (10 papers) and Diabetes Management and Research (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (228 citations), Aging (16 citations) and Behavioral Neuroscience (29 citations). Yun Shi has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Tao Yang, Zhao Wang, Liyuan Li, Xiaojin Shi, Fan Yang, Yong Gu, Mei Zhang, Min Sun, Zhixiao Wang and Qi Fu. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

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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