Xiaopei Shen

1.6k citations
32 papers · 565 indexed · h-index 12
Topics
Bioinformatics and Genomic Networks (7 papers)Thyroid Cancer Diagnosis and Treatment (7 papers)Gene expression and cancer classification (5 papers)
Partner nations
ChinaUnited StatesRussia

In The Last Decade

Xiaopei Shen

28 papers receiving 562 citations

Peers

Xiaopei Shen
Comparison fields: 5 of 84
  • Molecular Biology 314
  • Endocrinology, Diabetes and Metabolism 164
  • Cancer Research 85
  • Oncology 82
  • Genetics 79
Replace Isabel Pereira‐Castro with:
Isabel Pereira‐Castro Portugal
Anika Böttcher Germany
Jee Yun Han South Korea
Elsa Kress France
Matomo Sakari Japan
Sune Kobberup United States
Émilie Blanchet France
Takayuki Hanamoto Japan
Irina M. Bochkis United States
Ahmad Pazirandeh Sweden
Xiaopei Shen relative to Isabel Pereira‐Castro Portugal Isabel Pereira‐Castro's profile →
Citations per field
00.5×1.6×
Isabel Pereira‐Castro · 1×
Citations per year

Countries citing papers authored by Xiaopei Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopei Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopei Shen. A scholar is included among the top collaborators of Xiaopei 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 Xiaopei Shen. Xiaopei 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 0
2 0
3 1
4 0
5 1
6 1
7 4
8 1
9 5
10 19
11 4
12 8
13 94
14 12
15 13
16 6
17 20
18 18
19 8
20 2

About Xiaopei Shen

Xiaopei Shen is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 32 papers that have together received 565 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (164 citations), Cancer Research (85 citations) and Molecular Biology (314 citations). Xiaopei Shen has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Mingzhao Xing, Rengyun Liu, Zheng Guo, Guini Hong, Hong‐Dong Li, Guangwu Zhu, Wenjing Zhang, Jiajun Liu, Biao Li and Dana N. Levasseur. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

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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