Fanglin Lu

1.6k citations
78 papers · 1.2k · h-index 19

Impact in

Papers in

Fanglin Lu

73 papers receiving 1.1k citations

Peers

Fanglin Lu
Comparison fields: 5 of 70
  • Genetics 223
  • Cardiology and Cardiovascular Medicine 412
  • Pulmonary and Respiratory Medicine 209
  • Surgery 271
  • Molecular Medicine 32
Replace Can Yerebakan with:
Can Yerebakan United States
Satoshi Kainuma Japan
Ricardo Sanz-Ruiz y Spain
Jon C. George United States
Gregor Poglajen Slovenia
Martin G. St. John-Sutton United States
Yukikatsu Okada Japan
Hiroki Hata Japan
Yoshihisa YAMANE Japan
Andreas Rück Sweden
Fanglin Lu relative to Can Yerebakan United States Can Yerebakan's profile →
Citations per field
00.5×2×4×6.4×
Can Yerebakan · 1×
Citations per year

Countries citing papers authored by Fanglin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Fanglin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002115
2 2003110
3 201366
4 202062
5 201256
6 201946
7 201838
8 202137
9 202337
10 200933
11 200631
12 201331
13 201731
14 200230
15 200229
16 201827
17 202324
18 200720
19 200319
20 201219

About Fanglin Lu

Fanglin Lu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Genetics, Surgery and Biomaterials, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (35 papers), Aortic Disease and Treatment Approaches (12 papers), Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Pericarditis and Cardiac Tamponade (3 papers), Mechanical Circulatory Support Devices (2 papers), Cardiac tumors and thrombi (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Genetics (223 citations), Cardiology and Cardiovascular Medicine (412 citations), Pulmonary and Respiratory Medicine (209 citations), Surgery (271 citations) and Molecular Medicine (32 citations). Fanglin Lu has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Zhiyun Xu, Lin Han, Kazunobu Nishimura, Masashi Komeda, Yutaka Sakakibara, Keiichi Tambara, Zhigang Song, Shengdong Huang, Genichi Sakaguchi and Fan Qiao. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, International Journal of Cardiology, The Annals of Thoracic Surgery, Frontiers in Cardiovascular Medicine and Heart.

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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