Maria L. Macheda

2.2k total citations · 1 hit paper
14 papers, 1.8k citations indexed

About

Maria L. Macheda is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maria L. Macheda has authored 14 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Surgery and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maria L. Macheda's work include Wnt/β-catenin signaling in development and cancer (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Pancreatic function and diabetes (4 papers). Maria L. Macheda is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Pancreatic function and diabetes (4 papers). Maria L. Macheda collaborates with scholars based in Australia, United States and Belgium. Maria L. Macheda's co-authors include Suzanne Rogers, James D. Best, Steven A. Stacker, Michael M. Halford, Richard B. Anderson, Nigel Kee, Helen Cooper, Michael A. Henderson, E. Michael Gibbs and Susan Docherty and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Maria L. Macheda

14 papers receiving 1.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular and cellular regulation of glucose transporter (GLUT) proteins in cancer

2004 978 citations Maria L. Macheda, Suzanne Rogers et al. Journal of Cellular Physiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria L. Macheda Australia	12	1.2k	575	288	215	179	14	1.8k
Katharina Wagner Germany	28	1.7k 1.5×	394 0.7×	282 1.0×	179 0.8×	84 0.5×	55	3.3k
Jeanette Woolard United Kingdom	20	1.4k 1.2×	350 0.6×	318 1.1×	244 1.1×	126 0.7×	50	2.0k
Pablo E. Vivas‐Mejía Puerto Rico	27	1.4k 1.2×	652 1.1×	454 1.6×	164 0.8×	92 0.5×	66	2.3k
Fengjuan Fan China	24	1.3k 1.1×	349 0.6×	461 1.6×	131 0.6×	113 0.6×	67	1.9k
Andrew Chantry United Kingdom	24	1.4k 1.2×	326 0.6×	415 1.4×	108 0.5×	92 0.5×	43	1.9k
Suzanne E. Williams United States	12	807 0.7×	651 1.1×	215 0.7×	101 0.5×	244 1.4×	18	1.9k
Myriam Grunewald Israel	15	1.1k 1.0×	324 0.6×	407 1.4×	438 2.0×	195 1.1×	27	1.9k
Persio Dello Sbarba Italy	29	1.1k 0.9×	552 1.0×	442 1.5×	64 0.3×	141 0.8×	78	2.3k
Kavita Mallya United States	23	1.0k 0.9×	382 0.7×	670 2.3×	129 0.6×	155 0.9×	45	1.7k
Xiliang Zha China	26	1.1k 1.0×	292 0.5×	273 0.9×	123 0.6×	100 0.6×	78	1.8k

Countries citing papers authored by Maria L. Macheda

Since Specialization

Citations

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

Fields of papers citing papers by Maria L. Macheda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria L. Macheda

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

All Works

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14 of 14 papers shown

Karnezis, Tara, Rae H. Farnsworth, Nicole C. Harris, et al.. (2019). CCL27/CCL28–CCR10 Chemokine Signaling Mediates Migration of Lymphatic Endothelial Cells. Cancer Research. 79(7). 1558–1572. 39 indexed citations

Halford, Michael M., Peter G. Farlie, Damien Bates, et al.. (2018). Deficiency of the Wnt receptor Ryk causes multiple cardiac and outflow tract defects. Growth Factors. 36(1-2). 58–68. 5 indexed citations

Blakely, Brette, Christopher R. Bye, Asheeta A. Prasad, et al.. (2013). Ryk, a Receptor Regulating Wnt5a-Mediated Neurogenesis and Axon Morphogenesis of Ventral Midbrain Dopaminergic Neurons. Stem Cells and Development. 22(15). 2132–2144. 27 indexed citations

Halford, Michael M., Maria L. Macheda, Clare L. Parish, et al.. (2013). A Fully Human Inhibitory Monoclonal Antibody to the Wnt Receptor RYK. PLoS ONE. 8(9). e75447–e75447. 20 indexed citations

Macheda, Maria L., Benjamin M. Hogan, Neil I. Bower, et al.. (2012). The Wnt Receptor Ryk Plays a Role in Mammalian Planar Cell Polarity Signaling. Journal of Biological Chemistry. 287(35). 29312–29323. 71 indexed citations

Blakely, Brette, Christopher R. Bye, Malcolm Horne, et al.. (2011). Wnt5a Regulates Midbrain Dopaminergic Axon Growth and Guidance. PLoS ONE. 6(3). e18373–e18373. 82 indexed citations

Macheda, Maria L. & Steven A. Stacker. (2008). Importance of Wnt Signaling in the Tumor Stroma Microenvironment. Current Cancer Drug Targets. 8(6). 454–465. 40 indexed citations

Halford, Michael M., Nigel Kee, Maria L. Macheda, et al.. (2006). The Wnt Receptor Ryk Is Required for Wnt5a-Mediated Axon Guidance on the Contralateral Side of the Corpus Callosum. Journal of Neuroscience. 26(21). 5840–5848. 189 indexed citations

Macheda, Maria L., Suzanne Rogers, & James D. Best. (2004). Molecular and cellular regulation of glucose transporter (GLUT) proteins in cancer. Journal of Cellular Physiology. 202(3). 654–662. 978 indexed citations breakdown →

10.

Macheda, Maria L., Darren J. Kelly, James D. Best, & Suzanne Rogers. (2003). Expression during rat fetal development of GLUT12 – a member of the class III hexose transporter family. Anatomy and Embryology. 206(4). 335–335. 1 indexed citations

11.

Macheda, Maria L., Elizabeth D. Williams, James D. Best, Mary E. Wlodek, & Suzanne Rogers. (2003). Expression and localisation of GLUT1 and GLUT12 glucose transporters in the pregnant and lactating rat mammary gland. Cell and Tissue Research. 311(1). 91–97. 62 indexed citations

12.

Macheda, Maria L., Darren J. Kelly, James D. Best, & Suzanne Rogers. (2002). Expression during rat fetal development of GLUT12 - a member of the class III hexose transporter family. Anatomy and Embryology. 205(5-6). 441–452. 42 indexed citations

13.

Rogers, Suzanne, Maria L. Macheda, Susan Docherty, et al.. (2002). Identification of a novel glucose transporter-like protein—GLUT-12. American Journal of Physiology-Endocrinology and Metabolism. 282(3). E733–E738. 177 indexed citations

14.

Macheda, Maria L., et al.. (1999). The Aspergillus nidulans gltA gene encoding glutamate synthase is required for ammonium assimilation in the absence of NADP-glutamate dehydrogenase. Current Genetics. 34(6). 467–471. 25 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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