Liyun Shen

1.0k citations
30 papers · 756 indexed · h-index 13
Topics
Thyroid Cancer Diagnosis and Treatment (7 papers)Ophthalmology and Eye Disorders (6 papers)Pituitary Gland Disorders and Treatments (5 papers)
Partner nations
ChinaTaiwanUnited States

In The Last Decade

Liyun Shen

30 papers receiving 750 citations

Peers

Liyun Shen
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 322
  • Molecular Biology 249
  • Pathology and Forensic Medicine 186
  • Oncology 179
  • Immunology 142
Replace Govardhanan Nagaiah with:
Govardhanan Nagaiah United States
Youyuan Xu United States
Sandra D. Kirley United States
Florian Handle Austria
Johannes Gojo Austria
Hanako Sato Japan
Bente Sandvei Skeie Norway
Elena E. Tchekneva United States
Darla Landfair
Agnieszka Piekiełko‐Witkowska Poland
Liyun Shen relative to Govardhanan Nagaiah United States Govardhanan Nagaiah's profile →
Citations per field
00.5×8.9×
Govardhanan Nagaiah · 1×
Citations per year

Countries citing papers authored by Liyun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Liyun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyun Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Liyun Shen. A scholar is included among the top collaborators of Liyun 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 Liyun Shen. Liyun Shen 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 3
2 6
3 3
4 7
5 17
6 11
7 10
8 13
9 56
10 7
11 34
12 11
13 38
14 9
15 9
16 129
17 107
18 10
19 58
20 26

About Liyun Shen

Liyun Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Ophthalmology, having authored 30 papers that have together received 756 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Ophthalmology and Eye Disorders (6 papers) and Pituitary Gland Disorders and Treatments (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (322 citations), Pathology and Forensic Medicine (186 citations) and Cancer Research (141 citations). Liyun Shen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Lei Ye, Weiqing Wang, Fengjiao Huang, Guang Ning, Xiaochun Fei, Weiyuan Fang, Qing Wei, Wei Zhu, Hongyan Ma and Guang Ning. Their work appears in journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Carcinogenesis.

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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