L. Mao

683 total citations
10 papers, 559 citations indexed

About

L. Mao is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, L. Mao has authored 10 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in L. Mao's work include Cardiac Fibrosis and Remodeling (3 papers), Receptor Mechanisms and Signaling (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). L. Mao is often cited by papers focused on Cardiac Fibrosis and Remodeling (3 papers), Receptor Mechanisms and Signaling (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). L. Mao collaborates with scholars based in United States, China and Germany. L. Mao's co-authors include Howard A. Rockman, J Ross, H. A. Rockman, Jennifer E. Fox, Oliver Smithies, Giovanni Esposito, Joshua W. Knowles, John R. Hagaman, R J Lefkowitz and Larry R. Jones and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Cardiovascular Research.

In The Last Decade

L. Mao

8 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Mao United States 7 395 273 58 56 49 10 559
Satoru Usami Japan 12 434 1.1× 382 1.4× 47 0.8× 59 1.1× 44 0.9× 20 677
Ines Pagel Germany 11 264 0.7× 207 0.8× 56 1.0× 46 0.8× 55 1.1× 14 452
Tanneale Marshall Australia 8 339 0.9× 177 0.6× 99 1.7× 36 0.6× 26 0.5× 8 503
Dajun Wang United States 11 392 1.0× 275 1.0× 61 1.1× 107 1.9× 49 1.0× 18 712
Takashi Serizawa Japan 14 492 1.2× 207 0.8× 108 1.9× 28 0.5× 78 1.6× 44 707
Alexander Reinecke Germany 12 322 0.8× 214 0.8× 47 0.8× 117 2.1× 19 0.4× 30 561
Sharon Milgram United States 6 358 0.9× 232 0.8× 64 1.1× 84 1.5× 15 0.3× 8 568
Y Shibazaki Japan 5 574 1.5× 532 1.9× 94 1.6× 42 0.8× 48 1.0× 6 866
Linda C. Clark United States 9 203 0.5× 167 0.6× 42 0.7× 74 1.3× 31 0.6× 13 444
Susan L. DuBois United States 4 277 0.7× 227 0.8× 73 1.3× 75 1.3× 13 0.3× 5 504

Countries citing papers authored by L. Mao

Since Specialization
Citations

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

Fields of papers citing papers by L. Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Mao

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

All Works

10 of 10 papers shown
3.
Mao, L., et al.. (2008). A randomized double-blind study of the biological effects of celecoxib as a chemopreventive agent in current and former smokers. Journal of Clinical Oncology. 26(15_suppl). 1501–1501. 2 indexed citations
4.
Knowles, Joshua W., Giovanni Esposito, L. Mao, et al.. (2001). Pressure-independent enhancement of cardiac hypertrophy in natriuretic peptide receptor A–deficient mice. Journal of Clinical Investigation. 107(8). 975–984. 249 indexed citations
5.
Palakodeti, Vachaspathi, Sam S. Oh, Byung‐Hee Oh, et al.. (1997). Force-frequency effect is a powerful determinant of myocardial contractility in the mouse. American Journal of Physiology-Heart and Circulatory Physiology. 273(3). H1283–H1290. 56 indexed citations
6.
Tanaka, Nobuaki, L. Mao, F. A. DeLano, et al.. (1997). Left ventricular volumes and function in the embryonic mouse heart. American Journal of Physiology-Heart and Circulatory Physiology. 273(3). H1368–H1376. 10 indexed citations
7.
Rockman, Howard A., Robert A. Hamilton, Larry R. Jones, et al.. (1996). Enhanced myocardial relaxation in vivo in transgenic mice overexpressing the beta2-adrenergic receptor is associated with reduced phospholamban protein.. Journal of Clinical Investigation. 97(7). 1618–1623. 61 indexed citations
8.
Eising, Gregory P., L. Mao, Geert W. Schmid‐Schönbein, Robert L. Engler, & James T. Ross. (1996). Effects of induced tolerance to bacterial lipopolysaccharide on myocardial infarct size in rats. Cardiovascular Research. 31(1). 73–81. 36 indexed citations
9.
Ono, S, Valmik Bhargava, L. Mao, et al.. (1994). In vivo assessment of left ventricular remodelling after myocardial infarction by digital video contrast angiography in the rat. Cardiovascular Research. 28(3). 349–357. 13 indexed citations
10.
Rockman, H. A., et al.. (1994). ANG II receptor blockade prevents ventricular hypertrophy and ANF gene expression with pressure overload in mice. American Journal of Physiology-Heart and Circulatory Physiology. 266(6). H2468–H2475. 132 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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