Kun Lü

33 papers receiving 496 citations

Peers

Kun Lü
Comparison fields: 5 of 73
  • Cancer Research 91
  • Cardiology and Cardiovascular Medicine 89
  • Genetics 36
  • Molecular Biology 227
  • Cellular and Molecular Neuroscience 48
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Citations per year

Countries citing papers authored by Kun Lü

Since Specialization
Citations

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

Fields of papers citing papers by Kun Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201990
2 201989
3 201476
4 202149
5 202039
6 201921
7 201720
8
Superiority of mitral valve replacement with preservation of subvalvular structure to conventional replacement in severe rheumatic mitral valve disease: a modified technique and results of one-year follow up.
200016
9 202211
10
Cryptogenic organizing pneumonia associated with invasive pulmonary aspergillosis: a case report and review of the literature.
20149
11 20148
12 19978
13
[Berberine inhibits cardiac fibrosis of diabetic rats].
20167
14 20166
15 20216
16
Defective T wave combined with incomplete right bundle branch block: a new electrocardiographic index for diagnosing atrial septal defect.
20126
17 20245
18 20175
19 20234
20 20254

About Kun Lü

Kun Lü is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Oncology and Cancer Research, having authored 35 papers that have together received 502 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Cancer, Lipids, and Metabolism (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Metabolism, Diabetes, and Cancer (2 papers), RNA Research and Splicing (2 papers) and Anesthesia and Sedative Agents (2 papers). The work is most often cited by research in Cancer Research (91 citations), Cardiology and Cardiovascular Medicine (89 citations), Genetics (36 citations), Molecular Biology (227 citations) and Cellular and Molecular Neuroscience (48 citations). Kun Lü has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xiaolian Song, Shuanshuan Xie, Changhui Wang, Andreas Dendorfer, Songlin Shi, Thomas Seidel, Xiaochun Cao-Ehlker, Roland Tomasi, Fan Liu and Yin Li. Their work appears in journals such as Journal of Visualized Experiments, Nature Communications, Frontiers in Pediatrics, Journal of Cellular Biochemistry and International Journal of 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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