Mark Moon

555 total citations
9 papers, 411 citations indexed

About

Mark Moon is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Mark Moon has authored 9 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cell Biology. Recurrent topics in Mark Moon's work include Autophagy in Disease and Therapy (2 papers), Signaling Pathways in Disease (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). Mark Moon is often cited by papers focused on Autophagy in Disease and Therapy (2 papers), Signaling Pathways in Disease (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). Mark Moon collaborates with scholars based in Canada, United States and China. Mark Moon's co-authors include Bruce M. McManus, Yun‐Bo Shi, Shaheenah Dawood, Peter P. Liu, Manyin Chen, Anthony O. Gramolini, Youan Liu, Maral Ouzounian, Mei Sun and Guohua Li and has published in prestigious journals such as Circulation, Nature Communications and Hypertension.

In The Last Decade

Mark Moon

8 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Moon Canada	7	210	169	73	66	43	9	411
Carita Lannér Canada	8	362 1.7×	177 1.0×	71 1.0×	66 1.0×	50 1.2×	14	560
Julie Tai United States	9	243 1.2×	103 0.6×	30 0.4×	22 0.3×	69 1.6×	11	508
B. U. Specht Germany	8	463 2.2×	102 0.6×	54 0.7×	28 0.4×	35 0.8×	10	626
Jessica Iorio Italy	12	307 1.5×	80 0.5×	52 0.7×	37 0.6×	14 0.3×	29	443
Marco Piccoli Italy	16	420 2.0×	94 0.6×	17 0.2×	76 1.2×	65 1.5×	48	625
Mohammad Hadi Farjoo Iran	9	142 0.7×	99 0.6×	69 0.9×	20 0.3×	21 0.5×	13	367
Xiangdong Yang China	8	200 1.0×	140 0.8×	34 0.5×	29 0.4×	96 2.2×	15	398
Ravi S. Kahlon United States	7	176 0.8×	31 0.2×	43 0.6×	43 0.7×	41 1.0×	9	350
Douglas Rouse United States	10	239 1.1×	61 0.4×	71 1.0×	18 0.3×	42 1.0×	14	433

Countries citing papers authored by Mark Moon

Since Specialization

Citations

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

Fields of papers citing papers by Mark Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Moon

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

All Works

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9 of 9 papers shown

1.

Miyake, Tetsuaki, Allen C. T. Teng, Jake Cosme, et al.. (2020). REEP5 depletion causes sarco-endoplasmic reticulum vacuolization and cardiac functional defects. Nature Communications. 11(1). 965–965. 29 indexed citations

2.

Lin, Hanbin, Kotaro Naito, Alan Valaperti, et al.. (2020). Innate Immune Nod1/RIP2 Signaling Is Essential for Cardiac Hypertrophy but Requires Mitochondrial Antiviral Signaling Protein for Signal Transductions and Energy Balance. Circulation. 142(23). 2240–2258. 39 indexed citations

3.

Zhang, Liyong, Xin Chen, Parveen Sharma, et al.. (2014). HACE1-dependent protein degradation provides cardiac protection in response to haemodynamic stress. Nature Communications. 5(1). 3430–3430. 32 indexed citations

4.

Wood, Philip A., Mark Moon, Liyong Zhang, et al.. (2013). Abstract 18619: Scaffold Protein CARD11 Modulates Receptor Mediated Apoptosis in Cardiomyocytes Following Myocardial Infarction. Circulation. 128(suppl_22). 1 indexed citations

5.

Sun, Mei, Maral Ouzounian, Geoffrey de Couto, et al.. (2013). Cathepsin‐L Ameliorates Cardiac Hypertrophy Through Activation of the Autophagy–Lysosomal Dependent Protein Processing Pathways. Journal of the American Heart Association. 2(2). e000191–e000191. 72 indexed citations

6.

Shi, Yun‐Bo, et al.. (2011). Mechanisms and management of doxorubicin cardiotoxicity. Herz. 36(4). 296–305. 171 indexed citations

7.

Moon, Mark, Ling Yan, Min Nian, et al.. (2011). Cellular FLICE-inhibitory protein protects against cardiac remodelling after myocardial infarction. Basic Research in Cardiology. 107(1). 239–239. 43 indexed citations

8.

Li, Hongliang, Qi‐Zhu Tang, Chen Liu, et al.. (2010). Cellular FLICE-Inhibitory Protein Protects Against Cardiac Remodeling Induced by Angiotensin II in Mice. Hypertension. 56(6). 1109–1117. 24 indexed citations

9.

Moon, Mark, Chen Liu, Masahiro Fukuoka, et al.. (2009). Mindin, a Regulator of Innate Immunity and Inhibitor of Angiogenesis, Contributes to Mortality and Adverse Remodeling Post Myocardial Infarction. Journal of Cardiac Failure. 15(6). S39–S39.

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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