Xin L.

44 papers receiving 3.4k citations

Xin L.'s Hit Papers

A Novel and Efficient Model of Coronary Artery Ligation and Myocardial Infarction in the Mouse 2010 · 619 citations
6190+5+10Years since publication200400600

Peers

Xin L.
Comparison fields: 5 of 109
  • Cardiology and Cardiovascular Medicine 871
  • Pathology and Forensic Medicine 691
  • Physiology 873
  • Developmental Neuroscience 114
  • Epidemiology 759
Replace Zoltán V. Varga with:
Zoltán V. Varga Hungary
Sang‐Bing Ong United Kingdom
Kazuo Komamura Japan
Roberta Menabò Italy
Grant R. Budas United States
Alexander S. Clanachan Canada
Sergiy M. Nadtochiy United States
Isabella Tritto Italy
Salvatore Curello Italy
Prabal K. Chatterjee United Kingdom
Xin L. relative to Zoltán V. Varga Hungary Zoltán V. Varga's profile →
Citations per field
00.5×2.5×
Zoltán V. Varga · 1×
Citations per year

Countries citing papers authored by Xin L.

Since Specialization
Citations

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

Fields of papers citing papers by Xin L.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Novel and Efficient Model of Coronary Artery Ligation and Myocardial Infarction in the Mouse
Hit paper breakdown →
2010619
2 1999457
3 2007403
4 2008236
5 2004172
6 2007156
7 1999151
8 2008104
9 200487
10 200683
11 200981
12 200677
13 200677
14 199771
15 200268
16 199767
17 201766
18 200750
19 200040
20 200040

About Xin L.

Xin L. is a scholar working on Physiology, Pathology and Forensic Medicine, Epidemiology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (14 papers), Nitric Oxide and Endothelin Effects (11 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Cardiac Arrest and Resuscitation (5 papers), Adipose Tissue and Metabolism (5 papers), Electron Spin Resonance Studies (3 papers), Menopause: Health Impacts and Treatments (3 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (871 citations), Pathology and Forensic Medicine (691 citations), Physiology (873 citations), Developmental Neuroscience (114 citations) and Epidemiology (759 citations). Xin L. has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Theodore A. Christopher, Bernard L. Lopez, Erhe Gao, Barry J. Goldstein, Walter J. Koch, Xiangying Jiao, Rosario Scalia, Ling Tao, Lin Zuo and Feng Gao. Their work appears in journals such as Circulation, Journal of Pharmacology and Experimental Therapeutics, Circulation Research, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Molecular and Cellular Cardiology.

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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