Shuangling Li

1.3k citations
58 papers · 768 · h-index 17

Impact in

Papers in

Shuangling Li

53 papers receiving 753 citations

Peers

Shuangling Li
Comparison fields: 5 of 116
  • Critical Care and Intensive Care Medicine 235
  • Developmental Neuroscience 157
  • Anesthesiology and Pain Medicine 194
  • Nephrology 55
  • Pulmonary and Respiratory Medicine 129
Replace David Gannon with:
David Gannon United States
Yen‐Ta Huang Taiwan
Tinghan Yang China
Kwok-Hon Chan Taiwan
Antonella Cotoia Italy
Xiaoyi Hu China
Doyeon Kim South Korea
Christian Koch Germany
RF Logan United Kingdom
Shuangling Li relative to David Gannon United States David Gannon's profile →
Citations per field
00.5×3.2×
David Gannon · 1×
Citations per year

Countries citing papers authored by Shuangling Li

Since Specialization
Citations

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

Fields of papers citing papers by Shuangling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011208
2 202040
3 202035
4 201732
5 202130
6 201929
7 201026
8 202321
9 202119
10 201019
11 201818
12 201818
13 201918
14 201817
15 202216
16 202116
17 201616
18 201315
19 202014
20 201812

About Shuangling Li

Shuangling Li is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Plant Science and Nephrology, having authored 58 papers that have together received 768 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (7 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Peanut Plant Research Studies (6 papers), Intensive Care Unit Cognitive Disorders (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Pregnancy and preeclampsia studies (4 papers), Coconut Research and Applications (4 papers) and Hemodynamic Monitoring and Therapy (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (235 citations), Developmental Neuroscience (157 citations), Anesthesiology and Pain Medicine (194 citations), Nephrology (55 citations) and Pulmonary and Respiratory Medicine (129 citations). Shuangling Li has collaborated with scholars based in China, United States and India. Frequent co-authors include Dong‐Xin Wang, Sainan Zhu, Gaiqi Yao, Xi Zhu, Wei Wang, Hong-Liang Li, Kaisheng Chen, Daqing Ma, Nan Li and Cheng Yang. Their work appears in journals such as BMC Anesthesiology, Scientific Reports, Annals of Palliative Medicine, Molecules and Frontiers in Medicine.

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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