Shuping Que

676 citations
21 papers · 471 · h-index 8

Impact in

  • Hepatology top 10%
    • Liver Disease and Transplantation
  • Nephrology top 10%
    • Gout, Hyperuricemia, Uric Acid

Papers in

    • Liver Disease Diagnosis and Treatment 13
    • Liver Disease and Transplantation 7
    • Hepatitis C virus research 2

Shuping Que

18 papers receiving 457 citations

Peers

Shuping Que
Comparison fields: 5 of 88
  • Hepatology 91
  • Nephrology 65
  • Epidemiology 251
  • Endocrinology, Diabetes and Metabolism 83
  • Geriatrics and Gerontology 18
Replace Kamran Qureshi with:
Kamran Qureshi United States
Liu Gao China
Tadeja Pintar Slovenia
Anna Maria Stanzial Italy
G. Occhino Italy
Seong‐Hwan Chang South Korea
José Ignacio Martínez‐Montoro Spain
Hasan Hüseyin Mutlu Türkiye
Muhammad Ali Khan United States
Shuping Que relative to Kamran Qureshi United States Kamran Qureshi's profile →
Citations per field
00.5×4.5×
Kamran Qureshi · 1×
Citations per year

Countries citing papers authored by Shuping Que

Since Specialization
Citations

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

Fields of papers citing papers by Shuping Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014187
2 201590
3 201443
4 201836
5 201333
6 201724
7 201917
8 202013
9 20207
10 20216
11 20215
12 20253
13 20242
14 20231
15 20251
16 20251
17 20231
18 20151
19 20250
20 20250

About Shuping Que

Shuping Que is a scholar working on Epidemiology, Hepatology, Surgery, Rheumatology and Transplantation, having authored 21 papers that have together received 471 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Organ Transplantation Techniques and Outcomes (8 papers), Liver Disease and Transplantation (7 papers), Renal Transplantation Outcomes and Treatments (3 papers), Folate and B Vitamins Research (3 papers), Hepatitis C virus research (2 papers), Metabolism and Genetic Disorders (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Hepatology (91 citations), Nephrology (65 citations), Epidemiology (251 citations), Endocrinology, Diabetes and Metabolism (83 citations) and Geriatrics and Gerontology (18 citations). Shuping Que has collaborated with scholars based in China, Sweden and Italy. Frequent co-authors include Zhengtao Liu, Tao Peng, Jing Xu, Shusen Zheng, Lin Zhou, Linlin Wang, Lin Zhou, Adil Mardinoğlu, Xue Qin and Luca Valenti. Their work appears in journals such as Scientific Reports, International Journal of Medical Sciences, Frontiers in Physiology, PLoS ONE and Frontiers in Cell and Developmental 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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