Michael Song

1.5k total citations
12 papers, 835 citations indexed

About

Michael Song is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Sensory Systems. According to data from OpenAlex, Michael Song has authored 12 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Sensory Systems. Recurrent topics in Michael Song's work include Ion Channels and Receptors (4 papers), Ion channel regulation and function (3 papers) and Pulmonary Hypertension Research and Treatments (2 papers). Michael Song is often cited by papers focused on Ion Channels and Receptors (4 papers), Ion channel regulation and function (3 papers) and Pulmonary Hypertension Research and Treatments (2 papers). Michael Song collaborates with scholars based in United States and Canada. Michael Song's co-authors include Jason X.‐J. Yuan, Ayako Makino, Frank Kuhr, Irena Levitan, Kimberly A. Smith, Bingkun Li, Stavros Lomvardas, Juan Guan, J M Alexander and Lenka Maliskova and has published in prestigious journals such as Journal of Applied Physiology, Journal of Bone and Mineral Research and Cardiovascular Research.

In The Last Decade

Michael Song

12 papers receiving 820 citations

Peers

Michael Song

PRM

CCM

SURGE

Sarabeth Graham United States

Catalin N. Topala Netherlands

Sudarsan Rajan United States

S. Kelly Ambler United States

Saskia J.G. Hoefs Netherlands

Zhichao Yue United States

Nataliya Petrenko United States

Tsukasa Shimauchi Japan

Philippe Jourdon France

Janelle P. Mollica Australia

Sarabeth Graham United States

Michael Song

514 ×1.1

49 ×0.3

PRM

333 ×2.8

79 ×0.7

CCM

109 ×1.1

SURGE

Citations per year, relative to Michael Song Michael Song (= 1×) peers Sarabeth Graham

Countries citing papers authored by Michael Song

Since Specialization

Citations

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

Fields of papers citing papers by Michael Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Song

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Song. A scholar is included among the top collaborators of Michael Song 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 Michael Song. Michael Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Rosen, Jonathan D., Yuchen Yang, Armen Abnousi, et al.. (2021). HPRep: Quantifying Reproducibility in HiChIP and PLAC-Seq Datasets. Current Issues in Molecular Biology. 43(2). 1156–1170. 3 indexed citations

Alexander, J M, Juan Guan, Bingkun Li, et al.. (2019). Live-cell imaging reveals enhancer-dependent Sox2 transcription in the absence of enhancer proximity. eLife. 8. 238 indexed citations

Mezzano, Valeria, Yan Liang, Adam Wright, et al.. (2016). Desmosomal junctions are necessary for adult sinus node function. Cardiovascular Research. 111(3). 274–286. 29 indexed citations

Kuhr, Frank, Kimberly A. Smith, Michael Song, Irena Levitan, & Jason X.‐J. Yuan. (2012). New mechanisms of pulmonary arterial hypertension: role of Ca²⁺signaling. American Journal of Physiology-Heart and Circulatory Physiology. 302(8). H1546–H1562. 146 indexed citations

Song, Michael, Ayako Makino, & Jason X.‐J. Yuan. (2011). STIM2 Contributes to Enhanced Store‐Operated Ca²⁺ Entry in Pulmonary Artery Smooth Muscle Cells from Patients with Idiopathic Pulmonary Arterial Hypertension. Pulmonary Circulation. 1(1). 84–94. 75 indexed citations

Ko, Eun‐A, et al.. (2010). Tension measurement in isolated rat and mouse pulmonary artery. Drug Discovery Today Disease Models. 7(3-4). 123–130. 14 indexed citations

Song, Michael, Ayako Makino, & Jason X.‐J. Yuan. (2010). Role of Reactive Oxygen Species and Redox in Regulating the Function of Transient Receptor Potential Channels. Antioxidants and Redox Signaling. 15(6). 1549–1565. 45 indexed citations

Song, Michael & Jason X.‐J. Yuan. (2009). Introduction to TRP Channels: Structure, Function, and Regulation. Advances in experimental medicine and biology. 661. 99–108. 59 indexed citations

Kakar, Sanjeev, Thomas A. Einhorn, Siddharth R. Vora, et al.. (2007). Enhanced Chondrogenesis and Wnt Signaling in PTH-Treated Fractures. Journal of Bone and Mineral Research. 22(12). 1903–1912. 181 indexed citations

10.

Zwemer, Charles F., et al.. (2006). Strain differences in response to acute hypoxia: CD-1 versus C57BL/6J mice. Journal of Applied Physiology. 102(1). 286–293. 32 indexed citations

11.

Song, Michael, Charles F. Zwemer, Steven E. Whitesall, & Louis G. D’Alecy. (2006). Acute and conditioned hypoxic tolerance augmented by endothelial nitric oxide synthase inhibition in mice. Journal of Applied Physiology. 102(2). 610–615. 9 indexed citations

12.

Todd, Mary E., Michael Song, & John H. McNeill. (1993). Coexistence of diabetes and hypertension results in unique structural alterations in the renal artery in rats beyond that found with diabetes alone. Diabetes Research and Clinical Practice. 19(2). 115–126. 4 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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