Ningfu Wang

42 papers receiving 740 citations

Peers

Ningfu Wang
Comparison fields: 5 of 86
  • Developmental Neuroscience 32
  • Clinical Biochemistry 51
  • Cardiology and Cardiovascular Medicine 128
  • Pathology and Forensic Medicine 86
  • Epidemiology 159
Replace Fei Fang with:
Fei Fang Canada
Yingbin Xiao China
Marte Bliksøen Norway
Nynke E. Hahn Netherlands
Alice M. Sheridan United States
Baogui Sun China
Lu Cai China
Tsuyoshi Urushida Japan
Xiangming Wang China
Hiroyuki Ohsaki Japan
Ningfu Wang relative to Fei Fang Canada Fei Fang's profile →
Citations per field
00.5×3.4×
Fei Fang · 1×
Citations per year

Countries citing papers authored by Ningfu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ningfu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ningfu 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 Ningfu Wang Line = papers co-authored together Ningfu Wang 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 2014140
2 201591
3 201671
4 200662
5 200834
6 201329
7 200825
8 200724
9 201222
10 201021
11 201319
12 200919
13 201318
14 201017
15 201817
16 201116
17 201515
18 202012
19 200912
20 201511

About Ningfu Wang

Ningfu Wang is a scholar working on Surgery, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 751 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Coronary Interventions and Diagnostics (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Heart Failure Treatment and Management (2 papers), Mechanical Circulatory Support Devices (2 papers), Anesthesia and Neurotoxicity Research (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Developmental Neuroscience (32 citations), Clinical Biochemistry (51 citations), Cardiology and Cardiovascular Medicine (128 citations), Pathology and Forensic Medicine (86 citations) and Epidemiology (159 citations). Ningfu Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xuwei Hou, Xiuying He, Yigang Zhong, Feng Ling, Zhaohui Hu, Jinzhou Zhu, Yuming Wang, Jian Xu, Hanying Xu and Gangjie Zhu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cardiovascular Diabetology, Clinica Chimica Acta, Coronary Artery Disease and Journal of Evidence-Based Medicine.

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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