Xiao‐Lei Moore

21 papers receiving 1.2k citations

Peers

Xiao‐Lei Moore
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 316
  • Aging 21
  • Cancer Research 132
  • Developmental Neuroscience 29
  • Transplantation 17
Replace Yidan Su with:
Yidan Su Australia
Xiangyang Zhu United States
April Stempien‐Otero United States
Xiao‐Ming Gao Australia
Aldo Moggio Italy
Elizabeth R. Flynn United States
Alda Tufró United States
Roel Bijkerk Netherlands
Miguel Carracedo Sweden
Xiaobo Mao China
Xiao‐Lei Moore relative to Yidan Su Australia Yidan Su's profile →
Citations per field
00.5×2×3×4.1×
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 2015192
2 2006146
3 2007121
4 2007109
5 200686
6 200578
7 200776
8 201571
9 201257
10 201442
11 200031
12 200931
13 200926
14 201626
15 201522
16 201320
17 201417
18 201615
19 201214
20 201810

About Xiao‐Lei Moore

Xiao‐Lei Moore is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Immunology, Developmental Neuroscience and Occupational Therapy, having authored 21 papers that have together received 1.2k 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), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Cardiovascular Function and Risk Factors (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (316 citations), Aging (21 citations), Cancer Research (132 citations), Developmental Neuroscience (29 citations) and Transplantation (17 citations). Xiao‐Lei Moore has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Anthony Michael Dart, Fang Ying Lu, Jaye P.F. 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, Clinical Science, Journal of Inflammation and Life Sciences.

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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