Xiao‐Lei Moore

21 papers receiving 1.1k citations

Peers

Xiao‐Lei Moore
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 290
  • Aging 17
  • Cancer Research 125
  • Developmental Neuroscience 28
  • Genetics 67
Replace Yidan Su with:
Yidan Su Australia
April Stempien‐Otero United States
Dongxing Zhu United Kingdom
Alvise Guariento Italy
Xiao‐Ming Gao Australia
Donato Santovito Germany
Bahil Ghanim Austria
Valérie Amsellem France
Alda Tufró United States
Virginija Jazbutyte Germany
Xiao‐Lei Moore relative to Yidan Su Australia Yidan Su's profile →
Citations per field
00.5×
Yidan Su · 1×
Citations per year

Countries citing papers authored by Xiao‐Lei Moore

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Lei Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Lei Moore. 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 Xiao‐Lei Moore. The network helps show where Xiao‐Lei Moore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015184
2 2006130
3 2007116
4 2007102
5 200682
6 200775
7 200573
8 201566
9 201255
10 201440
11 200030
12 200929
13 201625
14 200922
15 201521
16 201318
17 201416
18 201213
19 201612
20 201810

About Xiao‐Lei Moore

Xiao‐Lei Moore is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Surgery, Oncology and Immunology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pregnancy-related medical research (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Cardiomyopathy and Myosin Studies (2 papers), ATP Synthase and ATPases Research (1 paper), Estrogen and related hormone effects (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (290 citations), Aging (17 citations), Cancer Research (125 citations), Developmental Neuroscience (28 citations) and Genetics (67 citations). Xiao‐Lei Moore has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Anthony M. Dart, Fang Lü, Jaye Chin‐Dusting, Helen Kiriazis, Xiao‐Ming Gao, Yidan Su, Xiao‐Jun Du, David A. White, Yean Leng Lim and A. Ellims. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of the American Heart Association, The FASEB Journal, Clinical Science and British Journal of Pharmacology.

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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