L.-X. Fu

948 citations
29 papers · 779 · h-index 17

Impact in

Papers in

L.-X. Fu

27 papers receiving 766 citations

Peers

L.-X. Fu
Comparison fields: 5 of 97
  • Cardiology and Cardiovascular Medicine 400
  • Endocrinology, Diabetes and Metabolism 127
  • Molecular Biology 326
  • Radiology, Nuclear Medicine and Imaging 108
  • Pharmacology 67
Replace Yoshikazu Morishita with:
Yoshikazu Morishita Japan
Nathalie Lalevée France
Dennis Abraham United States
David P. Wilson Canada
Wolf‐Eberhard Siems Germany
Michael A. Tones United States
Jonathan A. Kirk United States
Yoshikazu Kambayashi Japan
Heiner Apeler Germany
Xinan Cao United States
L.-X. Fu relative to Yoshikazu Morishita Japan Yoshikazu Morishita's profile →
Citations per field
00.5×3.4×
Yoshikazu Morishita · 1×
Citations per year

Countries citing papers authored by L.-X. Fu

Since Specialization
Citations

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

Fields of papers citing papers by L.-X. Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993216
2 199261
3 199758
4 199846
5 199345
6 199040
7 199230
8 199730
9 199329
10 200628
11 201426
12 199725
13 199722
14 199721
15 199319
16 199116
17 199316
18 199113
19 199210
20 19906

About L.-X. Fu

L.-X. Fu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 779 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Cardiac electrophysiology and arrhythmias (5 papers), Renin-Angiotensin System Studies (4 papers), Cardiac Imaging and Diagnostics (4 papers), Ion channel regulation and function (3 papers), Cardiac Ischemia and Reperfusion (3 papers), EEG and Brain-Computer Interfaces (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (400 citations), Endocrinology, Diabetes and Metabolism (127 citations), Molecular Biology (326 citations), Radiology, Nuclear Medicine and Imaging (108 citations) and Pharmacology (67 citations). L.-X. Fu has collaborated with scholars based in Sweden, China and France. Frequent co-authors include Finn Waagstein, Johan Hoebeke, C.‐H. Bergh, Po Sing Leung, Å Hjalmarson, Ernesto Freire, Jan‐Åke Liljeqvist, Ylva Magnusson, P.Y.D. Wong and Hsiao Chang Chan. Their work appears in journals such as Cardiovascular Research, International Journal of Cardiology, The Journal of Membrane Biology, Scientific Reports and Endocrinology.

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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