Feng Lan

8.6k total citations · 1 hit paper
119 papers, 5.5k citations indexed

About

Feng Lan is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Feng Lan has authored 119 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 29 papers in Surgery and 29 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Feng Lan's work include Pluripotent Stem Cells Research (37 papers), CRISPR and Genetic Engineering (20 papers) and Tissue Engineering and Regenerative Medicine (17 papers). Feng Lan is often cited by papers focused on Pluripotent Stem Cells Research (37 papers), CRISPR and Genetic Engineering (20 papers) and Tissue Engineering and Regenerative Medicine (17 papers). Feng Lan collaborates with scholars based in China, United States and Japan. Feng Lan's co-authors include Joseph C. Wu, Sebastian Diecke, Yongming Wang, Paul W. Burridge, Joseph Gold, Bruno Hüber, Jared M. Churko, Nicholas M. Mordwinkin, Elena Matsa and Oscar J. Abilez and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

In The Last Decade

Feng Lan

113 papers receiving 5.5k citations

Hit Papers

Chemically defined generation of human cardiomyocytes 2014 2026 2018 2022 2014 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feng Lan China 38 3.7k 1.2k 1.1k 875 732 119 5.5k
Kenneth R. Boheler United States 44 4.9k 1.3× 1.4k 1.2× 1.9k 1.7× 894 1.0× 879 1.2× 140 6.9k
Joji Ando Japan 46 2.6k 0.7× 1.1k 0.9× 965 0.8× 895 1.0× 446 0.6× 111 6.3k
Katriina Aalto‐Setälä Finland 42 3.4k 0.9× 2.3k 1.9× 2.0k 1.8× 849 1.0× 1.1k 1.5× 166 7.6k
Ronald A. Li United States 35 3.1k 0.8× 1.1k 0.9× 1.2k 1.0× 1.3k 1.5× 1.1k 1.6× 104 5.0k
Yiru Guo United States 44 3.0k 0.8× 1.2k 1.0× 1.5k 1.3× 261 0.3× 390 0.5× 99 6.7k
Gangjian Qin United States 46 4.9k 1.3× 1.7k 1.4× 1.4k 1.2× 266 0.3× 256 0.3× 144 7.7k
Keith A. Youker United States 48 3.3k 0.9× 1.7k 1.4× 3.6k 3.2× 760 0.9× 226 0.3× 123 8.3k
Nan Hu China 40 2.8k 0.8× 763 0.6× 1.1k 0.9× 164 0.2× 371 0.5× 199 6.1k
J. Geoffrey Pickering Canada 45 2.3k 0.6× 1.4k 1.1× 908 0.8× 280 0.3× 160 0.2× 127 5.7k
Ofer Binah Israel 36 3.8k 1.0× 1.9k 1.6× 1.6k 1.4× 837 1.0× 1.1k 1.5× 123 5.7k

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-authorship network of co-authors of Feng Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Lan. A scholar is included among the top collaborators of Feng Lan 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 Feng Lan. Feng Lan 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
2.
Li, Hongxia, Shuhong Ma, Min Zhu, et al.. (2022). Losartan protects human stem cell-derived cardiomyocytes from angiotensin II-induced alcoholic cardiotoxicity. Cell Death Discovery. 8(1). 134–134. 6 indexed citations
3.
Hu, Ziying, Chengdong Zhang, Shuai Wang, et al.. (2021). Discovery and engineering of small SlugCas9 with broad targeting range and high specificity and activity. Nucleic Acids Research. 49(7). 4008–4019. 44 indexed citations
4.
Shan, Dan, Hongkun Wu, Fengxiang Lv, et al.. (2020). Cardiac Ischemic Preconditioning Promotes MG53 Secretion Through H 2 O 2 -Activated Protein Kinase C-δ Signaling. Circulation. 142(11). 1077–1091. 40 indexed citations
5.
Li, Yujie, Fengxiang Li, Chi Zhang, et al.. (2020). <p>Zinc Oxide Nanoparticles Induce Mitochondrial Biogenesis Impairment and Cardiac Dysfunction in Human iPSC-Derived Cardiomyocytes</p>. International Journal of Nanomedicine. Volume 15. 2669–2683. 37 indexed citations
6.
Li, Yanan, Yun Chang, Xiaolei Li, et al.. (2020). RAD-Deficient Human Cardiomyocytes Develop Hypertrophic Cardiomyopathy Phenotypes Due to Calcium Dysregulation. Frontiers in Cell and Developmental Biology. 8. 585879–585879. 12 indexed citations
7.
Chen, Zhong, et al.. (2020). Overexpression of miR-382 Sensitizes Hepatocellular Carcinoma Cells to γδ T Cells by Inhibiting the Expression of c-FLIP. Molecular Therapy — Oncolytics. 18. 467–475. 12 indexed citations
8.
Zhang, Mao, Hua Gao, Xiaoming Zhong, et al.. (2019). CaMKII-δ9 promotes cardiomyopathy through disrupting UBE2T-dependent DNA repair. Nature Cell Biology. 21(9). 1152–1163. 39 indexed citations
9.
Ke, Bingbing, Zhihong Zhao, Taoyan Liu, et al.. (2018). Uric acid: a potent molecular contributor to pluripotent stem cell cardiac differentiation via mesoderm specification. Cell Death and Differentiation. 26(5). 826–842. 14 indexed citations
11.
Zhou, Shixin, Yinan Liu, Ruopeng Feng, et al.. (2016). Survivin Improves Reprogramming Efficiency of Human Neural Progenitors by Single Molecule OCT4. Stem Cells International. 2016(1). 4729535–4729535. 11 indexed citations
12.
Jiang, Wenjian, Feng Lan, & Hongjia Zhang. (2016). Human Induced Pluripotent Stem Cells for Inherited Cardiovascular Diseases Modeling. Current Stem Cell Research & Therapy. 11(7). 533–541. 4 indexed citations
13.
Liu, Yan, Xuerui Wang, Lixin Jia, et al.. (2016). β-Aminopropionitrile monofumarate induces thoracic aortic dissection in C57BL/6 mice. Scientific Reports. 6(1). 28149–28149. 96 indexed citations
14.
Burridge, Paul W., Elena Matsa, Praveen Shukla, et al.. (2014). Chemically defined generation of human cardiomyocytes. Nature Methods. 11(8). 855–860. 1122 indexed citations breakdown →
15.
Sánchez-Freire, Verónica, Andrew S. Lee, Shijun Hu, et al.. (2014). Effect of Human Donor Cell Source on Differentiation and Function of Cardiac Induced Pluripotent Stem Cells. Journal of the American College of Cardiology. 64(5). 436–448. 91 indexed citations
16.
Wang, Yongming, Ping Liang, Feng Lan, et al.. (2014). Genome Editing of Isogenic Human Induced Pluripotent Stem Cells Recapitulates Long QT Phenotype for Drug Testing. Journal of the American College of Cardiology. 64(5). 451–459. 121 indexed citations
17.
Sharma, Amit, Sebastian Diecke, Wendy Y. Zhang, et al.. (2013). The Role of SIRT6 Protein in Aging and Reprogramming of Human Induced Pluripotent Stem Cells. Journal of Biological Chemistry. 288(25). 18439–18447. 101 indexed citations
18.
Narsinh, Kazim, Feng Lan, Junwei Liu, Robert C. Robbins, & Joseph C. Wu. (2011). Abstract 9306: Site-Specific Reporter Gene Imaging of Stem Cell Transplantation: Early Engraftment Predicts Late Improvement in Cardiac Function. Circulation. 124(suppl_21). 1 indexed citations
19.
Lü, Wenjing, Nikki P. Lee, Sunil C. Kaul, et al.. (2010). Induction of mutant p53‐dependent apoptosis in human hepatocellular carcinoma by targeting stress protein mortalin. International Journal of Cancer. 129(8). 1806–1814. 57 indexed citations
20.
Li, Yang, Hongxi Zhao, Feng Lan, et al.. (2010). Generation of Human-Induced Pluripotent Stem Cells from Gut Mesentery-Derived Cells by Ectopic Expression of OCT4/SOX2/NANOG. Cellular Reprogramming. 12(3). 237–247. 20 indexed citations

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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