Yuling Fu

2.6k citations
64 papers · 1.9k · h-index 25

Impact in

Papers in

Yuling Fu

62 papers receiving 1.9k citations

Peers

Yuling Fu
Comparison fields: 5 of 89
  • Cardiology and Cardiovascular Medicine 1.2k
  • Radiology, Nuclear Medicine and Imaging 424
  • Internal Medicine 43
  • Surgery 276
  • Immunology 124
Replace Benoît Lattuca with:
Benoît Lattuca France
Kwan L. Chan Canada
Tina Svenstrup Poulsen Denmark
Claudio Fresco Italy
Martin Reindl Austria
Martin J. Frey United States
Grigorios Tsigkas Greece
Ali Rıza Erbay Türkiye
Smita Negi United States
Özgür Günebakmaz Türkiye
Yuling Fu relative to Benoît Lattuca France Benoît Lattuca's profile →
Citations per field
00.5×3.3×
Benoît Lattuca · 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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998189
2 2009121
3 2008120
4 2001106
5 200186
6 200386
7 200483
8 200364
9 200659
10 200955
11 200453
12 200853
13 200050
14 201943
15 201843
16 200837
17 202036
18 200534
19 199831
20 200531

About Yuling Fu

Yuling Fu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (31 papers), Cardiac electrophysiology and arrhythmias (8 papers), Cardiac Imaging and Diagnostics (6 papers), interferon and immune responses (4 papers), Immune Cell Function and Interaction (4 papers), Autophagy in Disease and Therapy (4 papers), Ubiquitin and proteasome pathways (3 papers) and Inflammasome and immune disorders (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (424 citations), Internal Medicine (43 citations), Surgery (276 citations) and Immunology (124 citations). Yuling Fu has collaborated with scholars based in Canada, United States and Belgium. 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 American Heart Journal, Journal of the American College of Cardiology, The American Journal of Cardiology, Circulation and The Journal of Immunology.

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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