Xingyi Que

503 citations
16 papers · 420 · h-index 11

Impact in

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

Papers in

    • Organ Transplantation Techniques and Outcomes 4
    • Transplantation: Methods and Outcomes 3
    • Xenotransplantation and immune response 1
    • Aortic aneurysm repair treatments 2

Xingyi Que

16 papers receiving 401 citations

Peers

Xingyi Que
Comparison fields: 5 of 61
  • Hepatology 118
  • Transplantation 37
  • Surgery 150
  • Immunology 70
  • Epidemiology 64
Replace Ahmed Eid with:
Ahmed Eid Israel
James D. Perkins United States
Antony Aziz United States
Masahiro Shinoda Japan
Yoshio Yamaoka Japan
Babak Movahedi United States
Yunhua Tang China
Vincenzo Ronca Italy
Feng Su United States
Peter Urbanellis Canada
Xingyi Que relative to Ahmed Eid Israel Ahmed Eid's profile →
Citations per field
00.5×2×2.9×
Ahmed Eid · 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

16 of 16 papers shown
#Work
1 2002115
2 200174
3 202340
4 202138
5 200429
6 200127
7 200319
8 200319
9 200317
10 200311
11 199910
12 19988
13 20197
14 19993
15 20012
16 19961

About Xingyi Que

Xingyi Que is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Transplantation and Immunology, having authored 16 papers that have together received 420 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (4 papers), Transplantation: Methods and Outcomes (3 papers), Aortic aneurysm repair treatments (2 papers), T-cell and B-cell Immunology (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Xenotransplantation and immune response (1 paper). The work is most often cited by research in Hepatology (118 citations), Transplantation (37 citations), Surgery (150 citations), Immunology (70 citations) and Epidemiology (64 citations). Xingyi Que has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Fotini Debonera, Kim M. Olthoff, Andrew E. Gelman, Xavier Aldeguer, Rebecca Taub, Dunpeng Cai, Shi‐You Chen, Chenming Sun, Haval Shirwan and Emma E. Furth. Their work appears in journals such as Journal of Surgical Research, Surgery, Circulation Research, Transplant International 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.

Explore authors with similar magnitude of impact