Qin Fu

3.1k citations
95 papers · 2.3k indexed · h-index 26
Topics
Receptor Mechanisms and Signaling (15 papers)Phosphodiesterase function and regulation (11 papers)Cardiac electrophysiology and arrhythmias (8 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Qin Fu

87 papers receiving 2.2k citations

Peers

Qin Fu
Comparison fields: 5 of 132
  • Molecular Biology 948
  • Cardiology and Cardiovascular Medicine 535
  • Physiology 312
  • Pulmonary and Respiratory Medicine 221
  • Surgery 212
Replace Ziqing Hei with:
Ziqing Hei China
Elisa Pagnin Italy
Nalini Santanam United States
Shimpei Fujimoto Japan
Anil Bhanudas Gaikwad India
Joan Roselló‐Catafau Spain
Stefano Menini Italy
Lee Ann MacMillan-Crow United States
Yaw L. Siow Canada
Hideaki Kaneto Japan
Qin Fu relative to Ziqing Hei China Ziqing Hei's profile →
Citations per field
00.5×1.5×2.1×
Ziqing Hei · 1×
Citations per year

Countries citing papers authored by Qin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Qin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Fu. A scholar is included among the top collaborators of Qin Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qin Fu. Qin Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 7
4 9
5 16
6 20
7 11
8 1
9 3
10
Relationship between B-type natriuretic peptide and short-term prognosis in non-diabetic patients with ST-segment elevation myocardial infarction.
3
11
Helicobacter pylori infection in Chinese patients with atrial fibrillation
1
12
A prospective randomized comparison of left and right radial approach for percutaneous coronary angiography in Asian populations
2
13 31
14
Effect of Price Support Policies on Grain Production in China
0
15
Effects of Diesel Fuel Input on the Agricultural Economic Growth
1
16 22
17 19
18 134
19 12
20 11

About Qin Fu

Qin Fu is a scholar working on Cardiology and Cardiovascular Medicine, Transplantation and Hematology, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Phosphodiesterase function and regulation (11 papers) and Cardiac electrophysiology and arrhythmias (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (535 citations), Transplantation (51 citations) and Nephrology (107 citations). Qin Fu has collaborated with scholars based in China, United States and France. Frequent co-authors include Jizhou Xiang, Yang K. Xiang, Benrong Hu, Qian Shi, Bing Xu, Jia-Qing Qian, Jennifer E. Van Eyk, Yang Xiang, Xiongwen Chen and Rong Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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