Ling Sang

9.9k citations
50 papers · 1.4k · 1 hit paper · h-index 16

Impact in

Papers in

Ling Sang

44 papers receiving 1.4k citations

Ling Sang's Hit Papers

Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19 2020 · 829 citations
8290+2+4Years since publication250500750

Peers

Ling Sang
Comparison fields: 5 of 121
  • Infectious Diseases 737
  • Critical Care and Intensive Care Medicine 161
  • Neurology 320
  • Health Informatics 19
  • Modeling and Simulation 49
Replace Nuofu Zhang with:
Nuofu Zhang China
Yuanda Xu China
Hyunsook Hong South Korea
Sharukh Lokhandwala United States
Sneha S. Jain United States
Xiangdong Guan China
Justin Laracy United States
Jiahao Peng United States
Pavan K. Bhatraju United States
Yangbo Xing China
Ling Sang relative to Nuofu Zhang China Nuofu Zhang's profile →
Citations per field
00.5×1.6×
Nuofu Zhang · 1×
Citations per year

Countries citing papers authored by Ling Sang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19
Hit paper breakdown →
2020829
2 2020149
3 202341
4 202033
5 202326
6 202026
7 202025
8 201825
9 202119
10 202119
11 202118
12 201618
13 201917
14 202216
15 202116
16 202215
17 202011
18 202010
19 202110
20 202110

About Ling Sang

Ling Sang is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Infectious Diseases, Surgery and Epidemiology, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (16 papers), COVID-19 Clinical Research Studies (9 papers), Intensive Care Unit Cognitive Disorders (7 papers), Sepsis Diagnosis and Treatment (7 papers), Mechanical Circulatory Support Devices (6 papers), Neonatal Respiratory Health Research (5 papers), Long-Term Effects of COVID-19 (4 papers) and Cardiac Arrest and Resuscitation (4 papers). The work is most often cited by research in Infectious Diseases (737 citations), Critical Care and Intensive Care Medicine (161 citations), Neurology (320 citations), Health Informatics (19 citations) and Modeling and Simulation (49 citations). Ling Sang has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Yimin Li, Nanshan Zhong, Wenhua Liang, Wei‐jie Guan, Yuanda Xu, Jianxing He, Nuofu Zhang, Yi Zhao, Limin Ou and Binfeng Chen. Their work appears in journals such as Annals of Translational Medicine, Frontiers in Medicine, Frontiers in Immunology, BMC Infectious Diseases and Aging.

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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