Xiaoxia Shen

540 citations
34 papers · 382 indexed · h-index 11
Topics
Neonatal and fetal brain pathology (4 papers)Alzheimer's disease research and treatments (4 papers)Neonatal Health and Biochemistry (3 papers)

In The Last Decade

Xiaoxia Shen

28 papers receiving 374 citations

Peers

Xiaoxia Shen
Comparison fields: 5 of 81
  • Physiology 128
  • Molecular Biology 86
  • Surgery 56
  • Public Health, Environmental and Occupational Health 55
  • Pulmonary and Respiratory Medicine 52
Replace James D’Olimpio with:
James D’Olimpio United States
Feifei Cheng China
I Harman United States
Xixian Ruan China
Mirja E. Graf Germany
Nicolas Basty United Kingdom
Marissa Penna-Martinez Germany
Hideyo Oguchi Japan
Lowry Sf United States
Xiaoxia Shen relative to James D’Olimpio United States James D’Olimpio's profile →
Citations per field
00.5×6.4×
James D’Olimpio · 1×
Citations per year

Countries citing papers authored by Xiaoxia Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxia Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxia Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxia Shen. A scholar is included among the top collaborators of Xiaoxia 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 Xiaoxia Shen. Xiaoxia 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 1
3 4
4 1
5 0
6 4
7 12
8 1
9 3
10 2
11 10
12 11
13 1
14 24
15 8
16 84
17 83
18 14
19
Role and mechanism of uncoupling protein 2 on the fatty acid-induced dysfunction of pancreatic alpha cells in vitro.
2
20 21

About Xiaoxia Shen

Xiaoxia Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 382 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (4 papers), Alzheimer's disease research and treatments (4 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Geriatrics and Gerontology (35 citations), Physiology (128 citations) and Endocrinology, Diabetes and Metabolism (47 citations). Xiaoxia Shen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Cheng‐Le Zhuang, Chong-Jun Zhou, Xuexian Fang, Junxia Min, Xinhui Wang, Xiuyang Li, Fudi Wang, Peng An, Simin Liu and Guangwei Li. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Science Advances.

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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