Yuling Fu

2.6k citations
64 papers · 1.8k indexed · h-index 25
Topics
Acute Myocardial Infarction Research (42 papers)Cardiac electrophysiology and arrhythmias (27 papers)Cardiac Imaging and Diagnostics (17 papers)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Yuling Fu

62 papers receiving 1.8k citations

Peers

Yuling Fu
Comparison fields: 5 of 90
  • Cardiology and Cardiovascular Medicine 1.5k
  • Radiology, Nuclear Medicine and Imaging 795
  • Surgery 493
  • Molecular Biology 159
  • Immunology 126
Replace Luisa De Gennaro with:
Luisa De Gennaro Italy
B Lindahl Sweden
Dietmar Zdunek Germany
H Baum Germany
Tina Svenstrup Poulsen Denmark
Lucio Gonzini Italy
Tomasz Baron Sweden
A. Yong Australia
Carolyn H. McCabe United States
Claudio Fresco Italy
Yuling Fu relative to Luisa De Gennaro Italy Luisa De Gennaro's profile →
Citations per field
00.5×1.5×2.3×
Luisa De Gennaro · 1×
Citations per year

Countries citing papers authored by Yuling Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuling Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuling Fu. A scholar is included among the top collaborators of Yuling 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 Yuling Fu. Yuling 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 0
2 16
3 5
4 12
5
UCHL1 Promoted Polarization of M1 Macrophages by Regulating the PI3K/AKT Signaling Pathway
14
6 17
7 10
8 15
9 20
10 8
11 49
12 24
13 30
14 3
15 10
16 79
17 51
18 8
19 59
20 104

About Yuling Fu

Yuling Fu is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (42 papers), Cardiac electrophysiology and arrhythmias (27 papers) and Cardiac Imaging and Diagnostics (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Radiology, Nuclear Medicine and Imaging (795 citations) and Internal Medicine (74 citations). Yuling Fu has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Paul W. Armstrong, Christopher B. Granger, Frans Van de Werf, Wei-Ching Chang, Cynthia M. Westerhout, Galen S. Wagner, Eric J. Topol, Shaun G. Goodman, Robert M. Califf and Padma Kaul. Their work appears in journals such as The Lancet, Circulation and Nature Communications.

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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