Xiaobo Yang

14.6k citations
55 papers · 8.3k indexed · 2 hit papers · h-index 20

Xiaobo Yang

50 papers receiving 8.1k citations

Hit Papers

Clinical course and outcomes of critically ill patients w...6.8k20202026202220242.0k4.0k6.0k

Peers

Xiaobo Yang
Comparison fields: 5 of 164
  • Infectious Diseases 5.2k
  • Neurology 2.8k
  • Critical Care and Intensive Care Medicine 828
  • Modeling and Simulation 306
  • Applied Microbiology and Biotechnology 128
Replace Shiying Yuan with:
Shiying Yuan China
Yaxin Wang China
Shangwen Pan China
Huaqing Shu China
Xiaojing Zou China
Zhui Yu China
Jiqian Xu China
Yu Yuan China
Minghao Fang China
Yongran Wu China
Xiaobo Yang relative to Shiying Yuan China Shiying Yuan's profile →
Citations per field
00.5×1.5×
Shiying Yuan · 1×
Citations per year

Countries citing papers authored by Xiaobo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20242
5 20240
6 20233
7 202218
8 20221
9 202221
10 202118
11
Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational studybreakdown →
20206803
12 201917
13 2018179
14 201723
15 20175
16 2014161
17 201024
18 20088
19 200713
20 200721

About Xiaobo Yang

Xiaobo Yang is a scholar working on Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine and Developmental Neuroscience, having authored 55 papers that have together received 8.3k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Intensive Care Unit Cognitive Disorders (7 papers), Cardiac Arrest and Resuscitation (6 papers), Sepsis Diagnosis and Treatment (6 papers), Anesthesia and Sedative Agents (6 papers), Anesthesia and Neurotoxicity Research (5 papers), Respiratory Support and Mechanisms (5 papers) and Heat shock proteins research (5 papers). The work is most often cited by research in Infectious Diseases (5.2k citations), Neurology (2.8k citations) and Critical Care and Intensive Care Medicine (828 citations). Xiaobo Yang has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include You Shang, Jiqian Xu, Yu Yuan, Yaxin Wang, Yongran Wu, Huaqing Shu, Shangwen Pan, Shiying Yuan, Xiaojing Zou and Hong Liu. Their work appears in journals such as Critical Care, Frontiers in Medicine, CHEST Journal, Medicine and PLoS ONE.

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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