Xiao‐Lei Moore

1.4k citations
21 papers · 1.1k indexed · h-index 17

Impact in

Papers in

Xiao‐Lei Moore

21 papers receiving 1.1k citations

Peers

Xiao‐Lei Moore
Comparison fields: 5 of 87
  • Cardiology and Cardiovascular Medicine 366
  • Aging 18
  • Cancer Research 149
  • Developmental Neuroscience 32
  • Genetics 75
Replace Yidan Su with:
Yidan Su Australia
April Stempien‐Otero United States
Bahil Ghanim Austria
Xiao‐Ming Gao Australia
Donato Santovito Germany
Valérie Amsellem France
Elizabeth R. Flynn United States
Marianne Gervais France
Virginija Jazbutyte Germany
Marish I.F.J. Oerlemans Netherlands
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-authorship network

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
#Work
1 201624
2 201612
3 201521
4 2015183
5 201562
6 201439
7 201416
8 201317
9 201255
10 201213
11 200929
12 20095
13 200921
14 2007115
15 200774
16 2007101
17 200682
18 2006128
19 200573
20 200030

About Xiao‐Lei Moore

Xiao‐Lei Moore is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience, Occupational Therapy, Immunology and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (6 papers), Pregnancy-related medical research (5 papers), Cardiomyopathy and Myosin Studies (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Immune cells in cancer (2 papers), Caveolin-1 and cellular processes (2 papers) and Macrophage Migration Inhibitory Factor (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (366 citations), Aging (18 citations), Cancer Research (149 citations), Developmental Neuroscience (32 citations) and Genetics (75 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, Yidan Su, Xiao‐Ming Gao, 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, Endocrinology, Journal of Molecular and Cellular Cardiology and Journal of Hypertension.

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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