Yu‐Lu Liang

27 papers receiving 1.5k citations

Peers

Yu‐Lu Liang
Comparison fields: 5 of 101
  • Cardiology and Cardiovascular Medicine 1.1k
  • Endocrinology, Diabetes and Metabolism 403
  • Pulmonary and Respiratory Medicine 268
  • Pathology and Forensic Medicine 249
  • Genetics 192
Replace Dimitra Kotsopoulos with:
Dimitra Kotsopoulos Australia
Myron Mavrikakis Greece
Hae Yoon Choi South Korea
Toshiharu Kawamoto Japan
Mark A. Creager United States
Marina Shargorodsky Israel
Di̇lek Gogas Yavuz Türkiye
Carmen Vasiliadou Greece
Theofilos M. Kolettis Greece
Miwa Ryo Japan
Yu‐Lu Liang relative to Dimitra Kotsopoulos Australia Dimitra Kotsopoulos's profile →
Citations per field
00.5×1.5×1.9×
Dimitra Kotsopoulos · 1×
Citations per year

Countries citing papers authored by Yu‐Lu Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Lu Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Lu Liang. 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 Yu‐Lu Liang. The network helps show where Yu‐Lu Liang may publish in the future.

Co-authorship network of co-authors of Yu‐Lu Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Lu Liang. A scholar is included among the top collaborators of Yu‐Lu Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu‐Lu Liang. Yu‐Lu Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 7
3 4
4 8
5 23
6 28
7 6
8 30
9
[Depression before and after operation in coronary artery bypass grafting patients].
3
10 60
11 142
12 48
13 238
14 101
15 37
16 111
17 31
18 61
19 14
20 48

About Yu‐Lu Liang

Yu‐Lu Liang is a scholar working on Cardiology and Cardiovascular Medicine, Biological Psychiatry and Biochemistry, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (17 papers), Blood Pressure and Hypertension Studies (12 papers) and Heart Rate Variability and Autonomic Control (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (403 citations) and Pathology and Forensic Medicine (249 citations). Yu‐Lu Liang has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Barry P. McGrath, Helena Teede, James D. Cameron, Dimitra Kotsopoulos, Anthony M. Dart, Louise Shiel, Christoph D. Gatzka, Bronwyn A. Kingwell, Fabien S Dalais and John J. McNeil. Their work appears in journals such as Journal of the American College of Cardiology, The Journal of Clinical Endocrinology & Metabolism and 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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