Fang Gao

143 papers receiving 4.3k citations

Peers

Fang Gao
Comparison fields: 5 of 148
  • Emergency Medicine 775
  • Critical Care and Intensive Care Medicine 373
  • Anesthesiology and Pain Medicine 180
  • Pulmonary and Respiratory Medicine 1.0k
  • Infectious Diseases 366
Replace Karim Asehnoune with:
Karim Asehnoune France
Neal J. Thomas United States
Stephen M. Pastores United States
Laurent Argaud France
Haibo Qiu China
Derek S. Wheeler United States
Kenneth P. Steinberg United States
Ivor S. Douglas United States
Gilles Capellier France
Yves Cohen France
Fang Gao relative to Karim Asehnoune France Karim Asehnoune's profile →
Citations per field
00.5×1.6×
Karim Asehnoune · 1×
Citations per year

Countries citing papers authored by Fang Gao

Since Specialization
Citations

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

Fields of papers citing papers by Fang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005297
2 2005293
3 2009255
4 2006204
5 2017187
6 2017133
7 2012112
8 2003100
9 200399
10 201294
11 200786
12 201578
13 202178
14 200274
15 200371
16 200368
17 200966
18 200762
19 200860
20 201858

About Fang Gao

Fang Gao is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Emergency Medicine and Cardiology and Cardiovascular Medicine, having authored 149 papers that have together received 4.5k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (17 papers), Cardiac Arrest and Resuscitation (16 papers), Anesthesia and Pain Management (8 papers), Sepsis Diagnosis and Treatment (7 papers), Atrial Fibrillation Management and Outcomes (7 papers), Epigenetics and DNA Methylation (6 papers), Intensive Care Unit Cognitive Disorders (6 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). The work is most often cited by research in Emergency Medicine (775 citations), Critical Care and Intensive Care Medicine (373 citations), Anesthesiology and Pain Medicine (180 citations), Pulmonary and Respiratory Medicine (1.0k citations) and Infectious Diseases (366 citations). Fang Gao has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Gavin D. Perkins, David Thickett, Daniel F. McAuley, Joyce Yeung, Simon Giles, Peter M. Hawkey, Katherine Hardy, Teresa Melody, Savita Gossain and Robin P. Davies. Their work appears in journals such as Critical Care, Resuscitation, British Journal of Anaesthesia, Critical Care Medicine and Thorax.

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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