Xirui Li

927 citations
48 papers · 665 · h-index 13

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 8
    • Pluripotent Stem Cells Research 4
    • Chemical Synthesis and Analysis 4
    • CRISPR and Genetic Engineering 4

Xirui Li

44 papers receiving 656 citations

Peers

Xirui Li
Comparison fields: 5 of 101
  • Transplantation 50
  • Nephrology 39
  • Molecular Biology 352
  • Cancer Research 55
  • Surgery 150
Replace Maciej Małecki with:
Maciej Małecki Poland
Günther Konwalinka Austria
Daniela Palmieri Italy
Ning He China
Ziping Jiang China
Ji-Woong Kwon South Korea
Chris Drogemuller Australia
Sivanandane Sittadjody United States
Yanhua Tang China
Xirui Li relative to Maciej Małecki Poland Maciej Małecki's profile →
Citations per field
00.5×10×15×19.5×
Maciej Małecki · 1×
Citations per year

Countries citing papers authored by Xirui Li

Since Specialization
Citations

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

Fields of papers citing papers by Xirui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xirui Li, 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 Xirui Li Line = papers co-authored together Xirui Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013149
2 2020140
3 202040
4 202332
5 202230
6 202229
7 201617
8 202216
9 202115
10 202415
11 201513
12 201913
13 202212
14 202412
15 202311
16 201611
17
Mechanism of bile acid-regulated glucose and lipid metabolism in duodenal-jejunal bypass.
201510
18 201610
19 20229
20 20239

About Xirui Li

Xirui Li is a scholar working on Molecular Biology, Surgery, Computer Vision and Pattern Recognition, Transplantation and Organic Chemistry, having authored 48 papers that have together received 665 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (8 papers), Renal Transplantation Outcomes and Treatments (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Animal Genetics and Reproduction (4 papers), Pluripotent Stem Cells Research (4 papers), Chemical Synthesis and Analysis (4 papers), CRISPR and Genetic Engineering (4 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Transplantation (50 citations), Nephrology (39 citations), Molecular Biology (352 citations), Cancer Research (55 citations) and Surgery (150 citations). Xirui Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zhi Li, Changxi Wang, Huiting Huang, Jiali Wang, Longshan Liu, Qun Su, Yongcheng Wei, Guangjin Pan, Qianyu Chen and Duanqing Pei. Their work appears in journals such as Electronics, Autophagy, Frontiers in Medicine, Transplantation and ACS Catalysis.

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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