Shuling Liu

910 citations
36 papers · 660 · h-index 15

Impact in

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

Papers in

    • Acute Ischemic Stroke Management 6
    • Traumatic Brain Injury and Neurovascular Disturbances 3

Shuling Liu

32 papers receiving 638 citations

Peers

Shuling Liu
Comparison fields: 5 of 109
  • Hepatology 133
  • Transplantation 37
  • Pharmacology 49
  • Neurology 79
  • Epidemiology 177
Replace Shuangxin Liu with:
Shuangxin Liu China
Federico Hawkins Spain
Xiaofeng Xu China
Lucia Piceni Sereni Italy
Ana Carolina de Bragança Brazil
Tung‐Po Huang Taiwan
Eric D. Newman United States
Dae Eun Choi South Korea
W. Craig Johnson United States
Chiharu Ito Japan
Shuling Liu relative to Shuangxin Liu China Shuangxin Liu's profile →
Citations per field
00.5×4.4×
Shuangxin Liu · 1×
Citations per year

Countries citing papers authored by Shuling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shuling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999190
2 199574
3 199858
4 201331
5 201830
6 201826
7 200726
8 201924
9 202123
10 201820
11 201918
12 201818
13 201717
14 199315
15 201814
16 199010
17 201710
18 20209
19
Phytoplasmas of two 16S rDNA groups are associated with pear decline in Taiwan.
20118
20 20167

About Shuling Liu

Shuling Liu is a scholar working on Epidemiology, Neurology, Molecular Biology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 36 papers that have together received 660 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (6 papers), Traditional Chinese Medicine Studies (4 papers), Stroke Rehabilitation and Recovery (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Emergency and Acute Care Studies (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Hepatology (133 citations), Transplantation (37 citations), Pharmacology (49 citations), Neurology (79 citations) and Epidemiology (177 citations). Shuling Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Mark Α. Zern, Edward Frizell, Jian Wu, Reza I. Bashey, Raphael Rubin, Jianliang Zhu, Pamela A. Norton, Ann Abraham, Guo J and Jiyao Wang. Their work appears in journals such as Hepatology, Frontiers in Neurology, PLoS ONE, Scientific Reports and Journal of the American Heart Association.

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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