L.-X. Fu

954 citations
30 papers · 827 · h-index 17

Impact in

Papers in

L.-X. Fu

27 papers receiving 799 citations

Peers

L.-X. Fu
Comparison fields: 5 of 94
  • Cardiology and Cardiovascular Medicine 390
  • Endocrinology, Diabetes and Metabolism 122
  • Molecular Biology 310
  • Radiology, Nuclear Medicine and Imaging 93
  • Pharmacology 56
Replace Marshall L. Michener with:
Marshall L. Michener United States
Yoshikazu Morishita Japan
Wolf‐Eberhard Siems Germany
Anthony Johns United States
Mikio Nakazawa Japan
Dennis Abraham United States
Yoshikazu Kambayashi Japan
Yuji Ohno Japan
William E. Downey United States
Xinan Cao United States
L.-X. Fu relative to Marshall L. Michener United States Marshall L. Michener's profile →
Citations per field
00.5×3.8×
Marshall L. Michener · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993228
2 199263
3 199762
4 199850
5 199346
6 199042
7 199734
8 199232
9 199331
10 201429
11 200628
12 199727
13 199725
14 199322
15 199722
16 199118
17 199317
18 199113
19 199210
20 19916

About L.-X. Fu

L.-X. Fu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 827 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Cardiac electrophysiology and arrhythmias (5 papers), Renin-Angiotensin System Studies (4 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Neuroendocrine regulation and behavior (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (390 citations), Endocrinology, Diabetes and Metabolism (122 citations), Molecular Biology (310 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Pharmacology (56 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, Jan‐Åke Liljeqvist, Ylva Magnusson, Ernesto Freire, P.Y.D. Wong and Hsiao Chang Chan. Their work appears in journals such as Cardiovascular Research, The Journal of Membrane Biology, International Journal of Cardiology, Endocrinology and Bio-Medical Materials and Engineering.

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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