Xiang Yao

1.1k citations
19 papers · 665 indexed · 1 hit paper · h-index 13
Topics
Bioinformatics and Genomic Networks (3 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)Immune cells in cancer (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONECell Metabolism

In The Last Decade

Xiang Yao

19 papers receiving 655 citations

Hit Papers

Mapping the single-cell transcriptomic response of murine...202220262023202420224080120

Peers

Xiang Yao
Comparison fields: 5 of 90
  • Molecular Biology 339
  • Immunology 129
  • Neurology 126
  • Cellular and Molecular Neuroscience 92
  • Ophthalmology 81
Replace Yue Qiu with:
Yue Qiu China
Lvshuang Liao China
John Hoon Rim South Korea
Sookja Kim Chung Hong Kong
Joana Almaça United States
Eric P. Nagele United States
Cheng‐mao Lin United States
Eleanor To Canada
Qing Chang China
Patrick Osei‐Owusu United States
Xiang Yao relative to Yue Qiu China Yue Qiu's profile →
Citations per field
00.5×3.5×
Yue Qiu · 1×
Citations per year

Countries citing papers authored by Xiang Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Yao. A scholar is included among the top collaborators of Xiang Yao 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 Xiang Yao. Xiang Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 5
2 5
3 19
4
Mapping the single-cell transcriptomic response of murine diabetic kidney disease to therapiesbreakdown →
137
5 7
6 61
7 16
8 46
9 18
10 6
11 19
12 61
13 88
14 55
15 54
16 4
17 27
18 32
19 5

About Xiang Yao

Xiang Yao is a scholar working on Biological Psychiatry, Neurology and Ophthalmology, having authored 19 papers that have together received 665 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Neurology (126 citations), Biological Psychiatry (25 citations) and Ophthalmology (81 citations). Xiang Yao has collaborated with scholars based in United States, Belgium and Sweden. Frequent co-authors include Natalie Taylor, Yingbo He, George Inana, Weijun An, Jing Cao, Ian R. Harris, Timothy W. Lovenberg, Eugene Myshkin, Matthew M. Rankin and Anindya Bhattacharya. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Metabolism.

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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