Mingyue Lun

2.2k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Mingyue Lun is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mingyue Lun has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mingyue Lun's work include Cardiomyopathy and Myosin Studies (5 papers), Adipose Tissue and Metabolism (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Mingyue Lun is often cited by papers focused on Cardiomyopathy and Myosin Studies (5 papers), Adipose Tissue and Metabolism (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Mingyue Lun collaborates with scholars based in United States, United Kingdom and Australia. Mingyue Lun's co-authors include Matthew L. Steinhauser, Ping L. Zhang, Parth Patwari, Robert Brown, Pouneh K. Fazeli, Christelle Guillermier, Lawrence I. Rothblum, Mei Wang, Samuel E. Senyo and Anne Klibanski and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Mingyue Lun

29 papers receiving 1.4k citations

Hit Papers

Efficient in vivo genome editing prevents hypertrophic ca... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Mingyue Lun
Ali Javaheri United States
Craig F. Plato United States
Guenter Daum United States
Yan Ru Su United States
Daniel L. Galvan United States
Prem M. Sharma United States
Sudhakar Veeranki United States
Huawei Li China
Ali Javaheri United States
Mingyue Lun
Citations per year, relative to Mingyue Lun Mingyue Lun (= 1×) peers Ali Javaheri

Countries citing papers authored by Mingyue Lun

Since Specialization
Citations

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

Fields of papers citing papers by Mingyue Lun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyue Lun

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyue Lun. A scholar is included among the top collaborators of Mingyue Lun 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 Mingyue Lun. Mingyue Lun 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
1.
Reichart, Daniel, Gregory A. Newby, Hiroko Wakimoto, et al.. (2023). Efficient in vivo genome editing prevents hypertrophic cardiomyopathy in mice. Nature Medicine. 29(2). 412–421. 106 indexed citations breakdown →
2.
Agarwal, Radhika, Hiroko Wakimoto, João A. Paulo, et al.. (2022). Pathogenesis of Cardiomyopathy Caused by Variants in ALPK3 , an Essential Pseudokinase in the Cardiomyocyte Nucleus and Sarcomere. Circulation. 146(22). 1674–1693. 17 indexed citations
3.
Fazeli, Pouneh K., Yang Zhang, John O’Keefe, et al.. (2020). Prolonged fasting drives a program of metabolic inflammation in human adipose tissue. Molecular Metabolism. 42. 101082–101082. 42 indexed citations
4.
Zhang, Yang, Christelle Guillermier, Thomas De Raedt, et al.. (2020). Imaging Mass Spectrometry Reveals Tumor Metabolic Heterogeneity. iScience. 23(8). 101355–101355. 24 indexed citations
5.
Toepfer, Christopher N., Hiroko Wakimoto, Amanda C. Garfinkel, et al.. (2019). Hypertrophic cardiomyopathy mutations in MYBPC3 dysregulate myosin. Science Translational Medicine. 11(476). 138 indexed citations
6.
Steinhauser, Matthew L., Benjamin A. Olenchock, John O’Keefe, et al.. (2018). The circulating metabolome of human starvation. JCI Insight. 3(16). 97 indexed citations
7.
Wakimoto, Hiroko, Amanda C. Garfinkel, Barbara McDonough, et al.. (2018). MYBPC3 Mutations Cause Hypertrophic Cardiomyopathy by Dysregulating Myosin: Implications for Therapy. Circulation Research. 123. 1 indexed citations
8.
Zhang, Yang, Alexander Federation, Soomin Kim, et al.. (2018). Targeting nuclear receptor NR4A1–dependent adipocyte progenitor quiescence promotes metabolic adaptation to obesity. Journal of Clinical Investigation. 128(11). 4898–4911. 25 indexed citations
9.
Guillermier, Christelle, Pouneh K. Fazeli, Mingyue Lun, et al.. (2017). Imaging mass spectrometry demonstrates age-related decline in human adipose plasticity. JCI Insight. 2(5). e90349–e90349. 54 indexed citations
10.
Lun, Mingyue, Mei Wang, Samuel E. Senyo, et al.. (2014). Loss of White Adipose Hyperplastic Potential Is Associated with Enhanced Susceptibility to Insulin Resistance. Cell Metabolism. 20(6). 1049–1058. 175 indexed citations
11.
Zhang, Ping L., et al.. (2007). C4d positivity is often associated with acute cellular rejection in renal transplant biopsies following Campath-1H (Alemtuzumab) induction.. PubMed. 37(2). 121–6. 8 indexed citations
12.
Chen, Jiwei, Weixing Shi, Yuguang Zhang, et al.. (2006). Identification of functional domains in sarcoglycans essential for their interaction and plasma membrane targeting. Experimental Cell Research. 312(9). 1610–1625. 32 indexed citations
13.
Zhang, Ping L., Phillip K. Pellitteri, Amy Law, et al.. (2005). Overexpression of phosphorylated nuclear factor-kappa B in tonsillar squamous cell carcinoma and high-grade dysplasia is associated with poor prognosis. Modern Pathology. 18(7). 924–932. 51 indexed citations
14.
Zhang, Ping L., Sayeed K. Malek, Fan Lin, et al.. (2005). Acute Cellular Rejection Predominated by Monocytes Is a Severe Form of Rejection in Human Renal Recipients With or Without Campath-1H (Alemtuzumab) Induction Therapy. American Journal of Transplantation. 5(3). 604–607. 27 indexed citations
15.
Lun, Mingyue, Ping L. Zhang, Phillip K. Pellitteri, et al.. (2005). Nuclear factor-kappaB pathway as a therapeutic target in head and neck squamous cell carcinoma: pharmaceutical and molecular validation in human cell lines using Velcade and siRNA/NF-kappaB.. PubMed. 35(3). 251–8. 36 indexed citations
16.
Zhang, Ping L., et al.. (2004). Pamidronate resistance and associated low ras levels in breast cancer cells: a role for combinatorial therapy.. PubMed. 34(3). 263–70. 10 indexed citations
17.
Hirschler‐Laszkiewicz, Iwona, et al.. (2003). Rrn3 Becomes Inactivated in the Process of Ribosomal DNA Transcription. Journal of Biological Chemistry. 278(21). 18953–18959. 30 indexed citations
18.
Hannan, Katherine M., Ross D. Hannan, S D Smith, et al.. (2000). Rb and p130 regulate RNA polymerase I transcription: Rb disrupts the interaction between UBF and SL-1. Oncogene. 19(43). 4988–4999. 109 indexed citations
19.
Lang, Stefan, Kristina Servomaa, Leila Kauppinen, et al.. (1999). p53 gene mutations in neoplastic transformation of C3H 10T1/2 and severe combined immunodeficiency fibroblasts. Mutation Research/DNA Repair. 434(1). 61–65. 2 indexed citations
20.
Capobianchi, Maria Rosaria, et al.. (1987). Membrane interactions involved in the induction of interferon-alpha by Mycoplasma pneumoniae. Antiviral Research. 8(3). 115–124. 13 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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