Xingyi Que

510 citations
17 papers · 394 indexed · h-index 11

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Renal Transplantation Outcomes and Treatments 3
    • Liver Disease and Transplantation 2
    • Liver physiology and pathology 2

Xingyi Que

17 papers receiving 392 citations

Peers

Xingyi Que
Comparison fields: 5 of 65
  • Hepatology 148
  • Transplantation 45
  • Immunology 91
  • Surgery 178
  • Epidemiology 79
Replace Idania Marrero with:
Idania Marrero United States
Yuki Ohya Japan
Yunhua Tang China
Toshiyuki Takeishi Japan
J. P. Hölzen Germany
Takuya Kawasaki Japan
M Nozawa Japan
Shen Zhong-yang China
Owen Cain United Kingdom
AJ Demetris United States
Xingyi Que relative to Idania Marrero United States Idania Marrero's profile →
Citations per field
00.5×1.5×2.5×
Idania Marrero · 1×
Citations per year

Countries citing papers authored by Xingyi Que

Since Specialization
Citations

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

Fields of papers citing papers by Xingyi Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200299
2 200169
3 202337
4 202134
5 200429
6 200127
7 200319
8 200319
9 200317
10 200311
11 199910
12 20197
13 19986
14 20254
15 19993
16 20012
17 19961

About Xingyi Que

Xingyi Que is a scholar working on Transplantation, Hepatology, Surgery, Physiology and Immunology, having authored 17 papers that have together received 394 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), T-cell and B-cell Immunology (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), Liver Disease and Transplantation (2 papers), Virus-based gene therapy research (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Hepatology (148 citations), Transplantation (45 citations), Immunology (91 citations), Surgery (178 citations) and Epidemiology (79 citations). Xingyi Que has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Kim M. Olthoff, Andrew E. Gelman, Xavier Aldeguer, Fotini Debonera, Rebecca Taub, Dunpeng Cai, Shi‐You Chen, Haval Shirwan, Chenming Sun and Emma E. Furth. Their work appears in journals such as Journal of Surgical Research, Surgery, Transplant International, Circulation Research and Pediatric Research.

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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