Xiaomin Cai

1.6k citations
50 papers · 1.0k · h-index 17

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ
    • Cellular Mechanics and Interactions

Papers in

Xiaomin Cai

47 papers receiving 1.0k citations

Peers

Xiaomin Cai
Comparison fields: 5 of 103
  • Oncology 269
  • Cell Biology 145
  • Cancer Research 121
  • Immunology 159
  • Genetics 61
Replace Sagar Shah with:
Sagar Shah United States
Alexander Barrett United States
Elad Bassat Israel
Davide Carlo Ambrosetti Italy
Lynn Graf United States
Hoang Nguyen United States
Roberta Besio Italy
Amit Singh Germany
Colinda L. G. J. Scheele Belgium
Erin Miller United States
Xiaomin Cai relative to Sagar Shah United States Sagar Shah's profile →
Citations per field
00.5×5.8×
Sagar Shah · 1×
Citations per year

Countries citing papers authored by Xiaomin Cai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaomin Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaomin Cai Line = papers co-authored together Xiaomin Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021182
2 2023112
3 201976
4 202169
5 202064
6 201944
7 201943
8 201942
9 202040
10 201640
11 201939
12 201834
13 202328
14
USP18 deubiquitinates and stabilizes Twist1 to promote epithelial-mesenchymal transition in glioblastoma cells.
202028
15 202021
16 202419
17 202118
18 202212
19 201711
20 201911

About Xiaomin Cai

Xiaomin Cai is a scholar working on Oncology, Molecular Biology, Cell Biology, Cancer Research and Genetics, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (5 papers), Ubiquitin and proteasome pathways (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Algebraic and Geometric Analysis (4 papers), Matrix Theory and Algorithms (4 papers), Glioma Diagnosis and Treatment (4 papers), Advanced Mathematical Theories and Applications (3 papers) and Advanced Battery Materials and Technologies (3 papers). The work is most often cited by research in Oncology (269 citations), Cell Biology (145 citations), Cancer Research (121 citations), Immunology (159 citations) and Genetics (61 citations). Xiaomin Cai has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Zhipeng Meng, Kuei-Chun Wang, Yanhong Gu, Qiang Xu, Bin Wei, Lingyan Xu, Wenjie Guo, Shuang Feng, Ligang Fan and Jia‐Cheng Lu. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Numerical Algorithms, Annals of Translational Medicine, Journal of Clinical Investigation and Journal of the Franklin Institute.

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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