Shunian Xiang

776 citations
16 papers · 467 indexed · h-index 11
Topics
Bioinformatics and Genomic Networks (6 papers)Alzheimer's disease research and treatments (5 papers)AI in cancer detection (4 papers)
Partner nations
United StatesChina

In The Last Decade

Shunian Xiang

15 papers receiving 461 citations

Peers

Shunian Xiang
Comparison fields: 5 of 68
  • Molecular Biology 309
  • Cancer Research 133
  • Artificial Intelligence 89
  • Radiology, Nuclear Medicine and Imaging 79
  • Neurology 61
Replace Binbin Ji with:
Binbin Ji China
Zhuoyu Wen China
Margherita Francescatto Italy
Tim Beck United Kingdom
Guoqing Bao Australia
Daniel Sumner Magruder Germany
Makrina Karaglani Greece
Katherine Tian United States
Chuandong Cheng China
J Ricardo McFaline-Figueroa United States
Shunian Xiang relative to Binbin Ji China Binbin Ji's profile →
Citations per field
00.5×3.1×
Binbin Ji · 1×
Citations per year

Countries citing papers authored by Shunian Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Shunian Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunian Xiang

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 10
2 11
3
Spatial cell type composition in normal and Alzheimers human brains is revealed using integrated mouse and human single cell RNA sequencing
0
4 17
5 3
6 47
7 59
8 10
9 14
10
SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer
4
11 6
12 170
13 18
14 48
15 46
16 4

About Shunian Xiang

Shunian Xiang is a scholar working on Neurology, Cancer Research and Physiology, having authored 16 papers that have together received 467 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Alzheimer's disease research and treatments (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Cancer Research (133 citations), Neurology (61 citations) and Molecular Biology (309 citations). Shunian Xiang has collaborated with scholars based in United States and China. Frequent co-authors include Kun Huang, Jie Zhang, Zhi Huang, Zhi Han, Travis S. Johnson, Christina Y. Yu, Xiaohui Zhan, Paul Salama, Bryan R. Helm and Maher Rizkalla. Their work appears in journals such as PLoS ONE, Scientific Reports and Aging Cell.

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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