Feng Lan

8.2k citations
106 papers · 5.4k · 2 hit papers · h-index 37

Impact in

Papers in

Feng Lan

103 papers receiving 5.3k citations

Feng Lan's Hit Papers

Chemically defined generation of human cardiomyocytes 2014 · 1.2k citations
1.2k0+4+8Years since publication2505007501000

Peers

Feng Lan
Comparison fields: 5 of 136
  • Cardiology and Cardiovascular Medicine 1.0k
  • Molecular Biology 3.4k
  • Aging 79
  • Cellular and Molecular Neuroscience 657
  • Surgery 1.1k
Replace Ioannis Karakikes with:
Ioannis Karakikes United States
Paul Gregorevic Australia
Haodi Wu United States
Ning Liu China
Paul W. Burridge United States
Timothy J. Nelson United States
Anthony O. Gramolini Canada
Timo Otonkoski Finland
Natalie Gude United States
Feng Lan relative to Ioannis Karakikes United States Ioannis Karakikes's profile →
Citations per field
00.5×1.5×2.3×
Ioannis Karakikes · 1×
Citations per year

Countries citing papers authored by Feng Lan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chemically defined generation of human cardiomyocytes
Hit paper breakdown →
20141183
2
Drug Screening Using a Library of Human Induced Pluripotent Stem Cell–Derived Cardiomyocytes Reveals Disease-Specific Patterns of Cardiotoxicity
Hit paper breakdown →
2013425
3 2013258
4 2019223
5 2011150
6 2015146
7 2014135
8 2011132
9 2012120
10 2012111
11 2013106
12 2016100
13 201498
14 201797
15 202090
16 201787
17 201485
18 201181
19 201278
20 201569

About Feng Lan

Feng Lan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Genetics, having authored 106 papers that have together received 5.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (25 papers), CRISPR and Genetic Engineering (18 papers), Tissue Engineering and Regenerative Medicine (9 papers), Cardiomyopathy and Myosin Studies (9 papers), RNA Interference and Gene Delivery (8 papers), Aortic Disease and Treatment Approaches (8 papers), Congenital heart defects research (6 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Molecular Biology (3.4k citations), Aging (79 citations), Cellular and Molecular Neuroscience (657 citations) and Surgery (1.1k citations). Feng Lan has collaborated with scholars based in China, United States and India. Frequent co-authors include Joseph C. Wu, Yongming Wang, Sebastian Diecke, Paul W. Burridge, Joseph Gold, Bruno Hüber, Jared M. Churko, Nicholas M. Mordwinkin, Elena Matsa and Oscar J. Abilez. Their work appears in journals such as Stem Cell Research & Therapy, Circulation, Journal of Cellular and Molecular Medicine, Stem Cell Research and Cell stem cell.

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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