Cun Long

1.5k citations
78 papers · 1.1k · h-index 19

Impact in

Papers in

    • Cardiac and Coronary Surgery Techniques 13
    • Cardiac Structural Anomalies and Repair 6
    • Mechanical Circulatory Support Devices 19

Cun Long

73 papers receiving 1.1k citations

Peers

Cun Long
Comparison fields: 5 of 63
  • Critical Care and Intensive Care Medicine 122
  • Emergency Medicine 200
  • Biochemistry 92
  • Developmental Neuroscience 60
  • Cardiology and Cardiovascular Medicine 270
Replace Fabrizio Monaco with:
Fabrizio Monaco Italy
Florian Falter United Kingdom
Harun Tatar Türkiye
Pankaj S. Mankad United Kingdom
R. Thomas Solis United States
Philippe J. Van der Linden Belgium
G. William‐Olsson Sweden
Peter Tassani Germany
V. Seenu Reddy United States
Paul J. Corso United States
Cun Long relative to Fabrizio Monaco Italy Fabrizio Monaco's profile →
Citations per field
00.5×1.5×
Fabrizio Monaco · 1×
Citations per year

Countries citing papers authored by Cun Long

Since Specialization
Citations

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

Fields of papers citing papers by Cun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007128
2 201163
3 201262
4 200856
5 200951
6 201046
7 201345
8 201140
9 201638
10 201130
11 200727
12 200723
13 201223
14 201420
15 201719
16 201219
17 200918
18 201118
19 201518
20 200416

About Cun Long

Cun Long is a scholar working on Surgery, Biomedical Engineering, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Emergency Medicine, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (19 papers), Cardiac Ischemia and Reperfusion (17 papers), Cardiac and Coronary Surgery Techniques (13 papers), Cardiac Arrest and Resuscitation (12 papers), Blood transfusion and management (8 papers), Aortic Disease and Treatment Approaches (7 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (7 papers) and Cardiac Structural Anomalies and Repair (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (122 citations), Emergency Medicine (200 citations), Biochemistry (92 citations), Developmental Neuroscience (60 citations) and Cardiology and Cardiovascular Medicine (270 citations). Cun Long has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Zhengyi Feng, Bingyang Ji, Jinping Liu, Shengshou Hu, Feilong Hei, Kun Yu, H Wang, Yuanli Liu, Bingyang Ji and Jinping Liu. Their work appears in journals such as Perfusion, Artificial Organs, ASAIO Journal, Journal of ExtraCorporeal Technology and Interactive Cardiovascular and Thoracic Surgery.

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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