Neng Dai

1.1k citations
44 papers · 511 · h-index 15

Impact in

Papers in

Neng Dai

41 papers receiving 505 citations

Peers

Neng Dai
Comparison fields: 5 of 67
  • Cardiology and Cardiovascular Medicine 173
  • Radiology, Nuclear Medicine and Imaging 127
  • Surgery 167
  • Internal Medicine 12
  • Pulmonary and Respiratory Medicine 71
Replace Tim Sueselbeck with:
Tim Sueselbeck Germany
Valeria Marco Italy
Linrui Guo Canada
Tilman Hickethier Germany
A. M. Beek Netherlands
Elham Bidar Netherlands
Irma Battipaglia Italy
Helge Moellmann Germany
Hong Zheng China
Toshihiko Nagano Japan
Neng Dai relative to Tim Sueselbeck Germany Tim Sueselbeck's profile →
Citations per field
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Citations per year

Countries citing papers authored by Neng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Neng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 202137
3 201432
4 201427
5 202227
6 201623
7 202322
8 202221
9 202219
10 202518
11 202218
12 201718
13 201916
14 202214
15 202014
16 202213
17 202313
18 202211
19 201310
20 20219

About Neng Dai

Neng Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Experimental and Cognitive Psychology, having authored 44 papers that have together received 511 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (16 papers), Coronary Interventions and Diagnostics (11 papers), Acute Myocardial Infarction Research (4 papers), Cardiac Valve Diseases and Treatments (3 papers), Sleep and related disorders (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (173 citations), Radiology, Nuclear Medicine and Imaging (127 citations), Surgery (167 citations), Internal Medicine (12 citations) and Pulmonary and Respiratory Medicine (71 citations). Neng Dai has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yawei Xu, Junbo Ge, Dachun Xu, Shaofeng Duan, Yawei Xu, Nan Hu, Yongfu Yu, Lei Hou, Bing Fan and Yidong Wei. Their work appears in journals such as Circulation Cardiovascular Imaging, Journal of Nuclear Cardiology, Journal of the American College of Cardiology, International Journal of Cardiology and Catheterization and Cardiovascular Interventions.

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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