Xiaoting Wu

104 papers receiving 1.4k citations

Peers

Xiaoting Wu
Comparison fields: 5 of 80
  • Pulmonary and Respiratory Medicine 690
  • Cardiology and Cardiovascular Medicine 392
  • Critical Care and Intensive Care Medicine 50
  • Nephrology 59
  • Biochemistry 32
Replace Ignacio Garutti with:
Ignacio Garutti Spain
Carmel Fitzgerald United States
R Takolander Sweden
Kay‐Hyun Park South Korea
Philippe Pouard France
Jean Buithieu Canada
Ronald A. Bronicki United States
İlhan Paşaoğlu Türkiye
Alejandro Suarez‐Pierre United States
Jeong Jin Min South Korea
Xiaoting Wu relative to Ignacio Garutti Spain Ignacio Garutti's profile →
Citations per field
00.5×3.6×
Ignacio Garutti · 1×
Citations per year

Countries citing papers authored by Xiaoting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018105
2 201890
3 201857
4 201849
5 201649
6 201646
7 201946
8 201741
9 201939
10 201735
11 202233
12 202232
13 201930
14 201925
15 202123
16 202123
17 201922
18 202022
19 201821
20 202321

About Xiaoting Wu

Xiaoting Wu is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Critical Care and Intensive Care Medicine, having authored 108 papers that have together received 1.4k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (35 papers), Cardiac Valve Diseases and Treatments (13 papers), Infective Endocarditis Diagnosis and Management (8 papers), Acupuncture Treatment Research Studies (6 papers), Blood transfusion and management (6 papers), Cardiac and Coronary Surgery Techniques (5 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers) and Mechanical Circulatory Support Devices (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (690 citations), Cardiology and Cardiovascular Medicine (392 citations), Critical Care and Intensive Care Medicine (50 citations), Nephrology (59 citations) and Biochemistry (32 citations). Xiaoting Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bo Yang, Himanshu J. Patel, G. Michael Deeb, Elizabeth L. Norton, Karen M. Kim, Whitney Hornsby, Donald S. Likosky, David Williams, Minhaj S. Khaja and Carlo Rosati. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery, Seminars in Thoracic and Cardiovascular Surgery, Journal of ExtraCorporeal Technology and Frontiers in Psychiatry.

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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