Guangxi Li

5.1k citations
133 papers · 3.2k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Guangxi Li

124 papers receiving 3.2k citations

Hit Papers

Association Between Hypoxemia and Mortality in Patients With COVID-19 2020 · 372 citations
3722020202620222024100200300

Peers

Guangxi Li
Comparison fields: 5 of 166
  • Critical Care and Intensive Care Medicine 738
  • Emergency Medicine 513
  • Nephrology 306
  • Biochemistry 252
  • Computational Mathematics 20
Replace Tom Pollard with:
Tom Pollard United States
Alistair E. W. Johnson United States
Sabino Scolletta Italy
Rahul Kashyap United States
Étienne Gayat France
Paul M. Walker France
Abele Donati Italy
Geoffrey M. Shaw New Zealand
Thomas Scheeren Netherlands
David Brealey United Kingdom
Guangxi Li relative to Tom Pollard United States Tom Pollard's profile →
Citations per field
00.5×10×13.3×
Tom Pollard · 1×
Citations per year

Countries citing papers authored by Guangxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Guangxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20241
5 20242
6 20244
7 20241
8 20231
9 20234
10 202113
11 202013
12 202017
13 201278
14 201138
15 201123
16 201140
17 2010195
18 20091
19 20090
20
Efficacy of Tanreqing injection combined with antibiotics for the treatment of patients with acute bacterial pneumonia
20081

About Guangxi Li

Guangxi Li is a scholar working on Computational Mathematics, Critical Care and Intensive Care Medicine, Emergency Medicine, Pulmonary and Respiratory Medicine and Nephrology, having authored 133 papers that have together received 3.2k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (28 papers), Sepsis Diagnosis and Treatment (19 papers), Cardiac Arrest and Resuscitation (17 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers), Advanced machining processes and optimization (9 papers), Intensive Care Unit Cognitive Disorders (8 papers), Neonatal Respiratory Health Research (7 papers) and Advanced Numerical Analysis Techniques (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (738 citations), Emergency Medicine (513 citations), Nephrology (306 citations), Biochemistry (252 citations) and Computational Mathematics (20 citations). Guangxi Li has collaborated with scholars based in China, United States and Serbia. Frequent co-authors include Ognjen Gajic, Michael Malinchoc, Daryl J. Kor, Marija Vukoja, Rahul Kashyap, Vitaly Herasevich, Virend K. Somers, Prachi Singh, Tomáš Kára and Jiang Xie. Their work appears in journals such as CHEST Journal, Chinese Journal of Integrative Medicine, Critical Care Medicine, Mayo Clinic Proceedings and Critical Care.

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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