Xiaoying Shi

5.1k citations
31 papers · 1.6k indexed · 1 hit paper · h-index 12
Topics
Liver Disease Diagnosis and Treatment (4 papers)Single-cell and spatial transcriptomics (3 papers)MicroRNA in disease regulation (3 papers)

In The Last Decade

Xiaoying Shi

29 papers receiving 1.5k citations

Hit Papers

TISCH: a comprehensive web resource enabling interactive ...20202026202220242020200400600

Peers

Xiaoying Shi
Comparison fields: 5 of 93
  • Molecular Biology 890
  • Oncology 641
  • Pulmonary and Respiratory Medicine 369
  • Immunology 327
  • Cancer Research 284
Replace Kosuke Watari with:
Kosuke Watari Japan
Anna Garuti Italy
Mathias T. Rosenfeldt Germany
Xiaoxi Lv China
Dadi Jiang United States
Qinxi Li China
Chia‐Lang Hsu Taiwan
Italia Falcone Italy
Angelina V. Vaseva United States
Renee M. Balliet United States
Xiaoying Shi relative to Kosuke Watari Japan Kosuke Watari's profile →
Citations per field
00.5×1.5×
Kosuke Watari · 1×
Citations per year

Countries citing papers authored by Xiaoying Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Shi. A scholar is included among the top collaborators of Xiaoying Shi 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 Xiaoying Shi. Xiaoying Shi 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 2
3 0
4 6
5 6
6 0
7 25
8
TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironmentbreakdown →
689
9 11
10 3
11 11
12 7
13 6
14
Serum lipid profile in gynecologic tumors: a retrospective clinical study of 1,550 patients.
15
15 17
16 3
17 339
18 48
19 51
20 76

About Xiaoying Shi

Xiaoying Shi is a scholar working on Health Informatics, Cancer Research and Hepatology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Single-cell and spatial transcriptomics (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Oncology (641 citations), Cancer Research (284 citations) and Immunology (327 citations). Xiaoying Shi has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xin Dong, Chenfei Wang, Taiwen Li, Pengfei Ren, Liangdong Sun, Rongbin Zheng, Yilv Yan, Ya Han, Peng Zhang and Fan Zhang. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Cell Biology.

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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