Melissa E. MacDonald

717 total citations
22 papers, 528 citations indexed

About

Melissa E. MacDonald is a scholar working on Surgery, Nephrology and Epidemiology. According to data from OpenAlex, Melissa E. MacDonald has authored 22 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Nephrology and 7 papers in Epidemiology. Recurrent topics in Melissa E. MacDonald's work include Liver Disease Diagnosis and Treatment (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Cholesterol and Lipid Metabolism (5 papers). Melissa E. MacDonald is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Cholesterol and Lipid Metabolism (5 papers). Melissa E. MacDonald collaborates with scholars based in Canada, United States and Belgium. Melissa E. MacDonald's co-authors include Richard C. Austin, Bernardo L. Trigatti, Suleiman A. Igdoura, Khrystyna Platko, Paul Lebeau, Jae Hyun Byun, Nabil G. Seidah, Yi Zhang, Kenneth N. Maclean and Elizabeth White and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Scientific Reports.

In The Last Decade

Melissa E. MacDonald

22 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa E. MacDonald Canada 13 176 172 134 92 65 22 528
Mike L. J. Jeurissen Netherlands 13 192 1.1× 220 1.3× 202 1.5× 101 1.1× 39 0.6× 20 500
Shunxing Rong United States 12 207 1.2× 295 1.7× 190 1.4× 104 1.1× 56 0.9× 15 659
Paul Lebeau Canada 17 212 1.2× 208 1.2× 159 1.2× 107 1.2× 46 0.7× 26 586
Jae Hyun Byun Canada 15 184 1.0× 190 1.1× 147 1.1× 88 1.0× 40 0.6× 29 541
Zhen Ni China 13 180 1.0× 288 1.7× 95 0.7× 48 0.5× 38 0.6× 27 624
Toshimasa Takahashi Japan 16 242 1.4× 282 1.6× 103 0.8× 64 0.7× 69 1.1× 51 757
Jingmei Song China 11 216 1.2× 202 1.2× 93 0.7× 93 1.0× 24 0.4× 22 540
Jiahong Xue China 10 83 0.5× 261 1.5× 111 0.8× 98 1.1× 108 1.7× 27 542
Meixiu Jiang China 16 142 0.8× 257 1.5× 90 0.7× 191 2.1× 32 0.5× 40 616
Ji Hoon Yu South Korea 17 344 2.0× 296 1.7× 134 1.0× 201 2.2× 34 0.5× 26 805

Countries citing papers authored by Melissa E. MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Melissa E. MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa E. MacDonald. 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 Melissa E. MacDonald. The network helps show where Melissa E. MacDonald may publish in the future.

Co-authorship network of co-authors of Melissa E. MacDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa E. MacDonald. A scholar is included among the top collaborators of Melissa E. MacDonald 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 Melissa E. MacDonald. Melissa E. MacDonald 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.
Platko, Khrystyna, Paul Lebeau, Melissa E. MacDonald, et al.. (2024). GDF10 is a negative regulator of vascular calcification. Journal of Biological Chemistry. 300(11). 107805–107805. 1 indexed citations
2.
Leal, Marcos André Soares, Neel Mehta, Vincent Lu, et al.. (2024). Follistatin lowers blood pressure and improves vascular structure and function in essential and secondary hypertension. Hypertension Research. 47(11). 3158–3172. 1 indexed citations
3.
Lynn, Edward G., Šárka Lhoták, Hua Jiang, et al.. (2024). Restoration of the ER stress response protein TDAG51 in hepatocytes mitigates NAFLD in mice. Journal of Biological Chemistry. 300(2). 105655–105655. 2 indexed citations
4.
Li, Renzhong, Dan Zhang, Bo Gao, et al.. (2023). A therapeutic target for CKD: activin A facilitates TGFβ1 profibrotic signaling. Cellular & Molecular Biology Letters. 28(1). 10–10. 7 indexed citations
5.
6.
Platko, Khrystyna, Paul Lebeau, Joshua P. Nederveen, et al.. (2023). A Metabolic Enhancer Protects against Diet-Induced Obesity and Liver Steatosis and Corrects a Pro-Atherogenic Serum Profile in Mice. Nutrients. 15(10). 2410–2410. 3 indexed citations
7.
Zhang, Dan, et al.. (2023). Both sexes develop DKD in the CD1 uninephrectomized streptozotocin mouse model. Scientific Reports. 13(1). 16635–16635. 2 indexed citations
8.
Lebeau, Paul, Jae Hyun Byun, Khrystyna Platko, et al.. (2022). Caffeine blocks SREBP2-induced hepatic PCSK9 expression to enhance LDLR-mediated cholesterol clearance. Nature Communications. 13(1). 770–770. 64 indexed citations
9.
Byun, Jae Hyun, Paul Lebeau, Khrystyna Platko, et al.. (2022). Inhibitory Antibodies against PCSK9 Reduce Surface CD36 and Mitigate Diet-Induced Renal Lipotoxicity. Kidney360. 3(8). 1394–1410. 23 indexed citations
10.
Lynn, Edward G., et al.. (2022). Scratching the Surface—An Overview of the Roles of Cell Surface GRP78 in Cancer. Biomedicines. 10(5). 1098–1098. 14 indexed citations
11.
Mehta, Neel, Renzhong Li, Dan Zhang, et al.. (2021). miR299a-5p promotes renal fibrosis by suppressing the antifibrotic actions of follistatin. Scientific Reports. 11(1). 88–88. 6 indexed citations
12.
Carlisle, Rachel E., Zahraa Mohammed‐Ali, Chao Lü, et al.. (2021). TDAG51 induces renal interstitial fibrosis through modulation of TGF-β receptor 1 in chronic kidney disease. Cell Death and Disease. 12(10). 921–921. 15 indexed citations
13.
Platko, Khrystyna, Paul Lebeau, Šárka Lhoták, et al.. (2020). TDAG51 (T-Cell Death-Associated Gene 51) Is a Key Modulator of Vascular Calcification and Osteogenic Transdifferentiation of Arterial Smooth Muscle Cells. Arteriosclerosis Thrombosis and Vascular Biology. 40(7). 1664–1679. 12 indexed citations
14.
Camps, J., Alejandro Sifrim, Sebastiaan Vanuytven, et al.. (2020). Interstitial Cell Remodeling Promotes Aberrant Adipogenesis in Dystrophic Muscles. Cell Reports. 31(5). 107597–107597. 62 indexed citations
15.
Platko, Khrystyna, Paul Lebeau, Jae Hyun Byun, et al.. (2019). GDF10 blocks hepatic PPARγ activation to protect against diet-induced liver injury. Molecular Metabolism. 27. 62–74. 21 indexed citations
16.
Lebeau, Paul, Jae Hyun Byun, Khrystyna Platko, et al.. (2019). Diet-induced hepatic steatosis abrogates cell-surface LDLR by inducing de novo PCSK9 expression in mice. Journal of Biological Chemistry. 294(23). 9037–9047. 49 indexed citations
17.
Lebeau, Paul, Jae Hyun Byun, Khrystyna Platko, et al.. (2019). Pcsk9 knockout exacerbates diet-induced non-alcoholic steatohepatitis, fibrosis and liver injury in mice. JHEP Reports. 1(6). 418–429. 67 indexed citations
18.
González, Leticia, et al.. (2018). Hyperglycemia Aggravates Diet-Induced Coronary Artery Disease and Myocardial Infarction in SR-B1-Knockout/ApoE-Hypomorphic Mice. Frontiers in Physiology. 9. 1398–1398. 12 indexed citations
19.
Momen, Abdul, Yuanyuan Zhao, Melissa E. MacDonald, et al.. (2017). HDL protects against doxorubicin-induced cardiotoxicity in a scavenger receptor class B type 1-, PI3K-, and Akt-dependent manner. American Journal of Physiology-Heart and Circulatory Physiology. 314(1). H31–H44. 22 indexed citations
20.
Zhang, Yi, et al.. (2013). The effect of pomegranate extract on coronary artery atherosclerosis in SR-BI/APOE double knockout mice. Atherosclerosis. 228(1). 80–89. 59 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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