Mai Shi

2.2k citations
61 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
Metabolism, Diabetes, and Cancer (12 papers)Diabetes Treatment and Management (12 papers)Diabetes Management and Research (8 papers)

In The Last Decade

Mai Shi

55 papers receiving 1.1k citations

Hit Papers

Translation of the circular RNA circβ-catenin promotes li...20192026202120232019100200300

Peers

Mai Shi
Comparison fields: 5 of 113
  • Molecular Biology 665
  • Cancer Research 344
  • Endocrinology, Diabetes and Metabolism 230
  • Epidemiology 137
  • Surgery 130
Replace Müjdat Zeybel with:
Müjdat Zeybel Türkiye
Giuditta Benincasa Italy
Jin Shang China
P Lumb United Kingdom
Gijs W.D. Landman Netherlands
Kalyane Bach‐Ngohou France
George Hindy Sweden
Shun Zhang China
Sergi Sayols-Baixeras Spain
Joshua E. Raizman Canada
Mai Shi relative to Müjdat Zeybel Türkiye Müjdat Zeybel's profile →
Citations per field
00.5×2.9×
Müjdat Zeybel · 1×
Citations per year

Countries citing papers authored by Mai Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mai Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Shi. A scholar is included among the top collaborators of Mai 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 Mai Shi. Mai 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
1 0
2 0
3 0
4 3
5 8
6 12
7 34
8 11
9 8
10 13
11 10
12 29
13 14
14 6
15 16
16 18
17 8
18
[Relationship between Life Habits and Constitution Types of Chinese Medicine in the Senile Living at Home in Beijing Downtown].
3
19 1
20
[High-risk HPV genotyping PCR testing as a means of cervical cancer and precancerous lesions early screening].
1

About Mai Shi

Mai Shi is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Geriatrics and Gerontology, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (12 papers), Diabetes Treatment and Management (12 papers) and Diabetes Management and Research (8 papers). The work is most often cited by research in Cancer Research (344 citations), Endocrinology, Diabetes and Metabolism (230 citations) and Nephrology (85 citations). Mai Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Stephen Kwok‐Wing Tsui, Shitao Rao, Mary Miu Yee Waye, Cheuk-Wa Wong, Weicheng Liang, Weiming Fu, Jinfang Zhang, Qi Zhang, Puping Liang and Ye Cao. Their work appears in journals such as Nature Communications, PLoS ONE and Hepatology.

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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