Xiaoting Wang

210 papers receiving 3.2k citations

Xiaoting Wang's Hit Papers

Findings of lung ultrasonography of novel corona virus pneumonia during the 2019–2020 epidemic 2020 · 532 citations
5320+2+4Years since publication100200300400500

Peers

Xiaoting Wang
Comparison fields: 5 of 150
  • Critical Care and Intensive Care Medicine 768
  • Nephrology 168
  • Epidemiology 601
  • Emergency Medicine 139
  • Structural Biology 23
Replace Xiangming Fang with:
Xiangming Fang China
Matthias Hartmann Germany
Anders Larsson Sweden
Allan Doctor United States
Francis Schneider France
Claus-Dieter Heidecke Germany
Wayne L. Chandler United States
Tor Inge Tønnessen Norway
Matthew J. Delano United States
Xiaoting Wang relative to Xiangming Fang China Xiangming Fang's profile →
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Countries citing papers authored by Xiaoting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 226 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Findings of lung ultrasonography of novel corona virus pneumonia during the 2019–2020 epidemic
Hit paper breakdown →
2020532
2 2013135
3 2020121
4
Epidemiological features and risk factors of sepsis-associated encephalopathy in intensive care unit patients: 2008-2011.
201298
5 201169
6 201668
7 201366
8 201760
9 201659
10 201559
11 201853
12 201552
13 201349
14 201543
15 201742
16 202142
17 201840
18 201038
19 202436
20 201734

About Xiaoting Wang

Xiaoting Wang is a scholar working on Epidemiology, Surgery, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 226 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (32 papers), Sepsis Diagnosis and Treatment (32 papers), Ultrasound in Clinical Applications (27 papers), Respiratory Support and Mechanisms (12 papers), Cardiac Arrest and Resuscitation (9 papers), Renal function and acid-base balance (8 papers), Intensive Care Unit Cognitive Disorders (7 papers) and Acute Kidney Injury Research (7 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (768 citations), Nephrology (168 citations), Epidemiology (601 citations), Emergency Medicine (139 citations) and Structural Biology (23 citations). Xiaoting Wang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Lina Zhang, Qianyi Peng, Dawei Liu, Hongmin Zhang, Yun Long, Wenzhao Chai, Huaiwu He, Longxiang Su, Xiang Zhou and Dongkai Li. Their work appears in journals such as Shock, Critical Care, Frontiers in Medicine, Journal of Critical Care and Scientific Reports.

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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