Albert S. Mellick

2.5k total citations · 1 hit paper
26 papers, 1.9k citations indexed

About

Albert S. Mellick is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Albert S. Mellick has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Albert S. Mellick's work include Molecular Biology Techniques and Applications (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and MicroRNA in disease regulation (4 papers). Albert S. Mellick is often cited by papers focused on Molecular Biology Techniques and Applications (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and MicroRNA in disease regulation (4 papers). Albert S. Mellick collaborates with scholars based in Australia, United States and Austria. Albert S. Mellick's co-authors include Vivek Mittal, Kathryn Bambino, Daniel J. Nolan, Dingcheng Gao, Kevin McDonnell, Lyn R. Griffiths, Robert Benezra, Alessia Ciarrocchi, Sunita Gupta and David A. Scheinberg and has published in prestigious journals such as Science, Advanced Materials and Genes & Development.

In The Last Decade

Albert S. Mellick

25 papers receiving 1.9k citations

Hit Papers

Endothelial Progenitor Cells Control the Angiogenic Switc... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Albert S. Mellick
Takanori Tsuji United States
Hudan Liu China
Ying Ni United States
Christopher Albanese United States
Ian de Belle United States
Takanori Tsuji United States
Albert S. Mellick
Citations per year, relative to Albert S. Mellick Albert S. Mellick (= 1×) peers Takanori Tsuji

Countries citing papers authored by Albert S. Mellick

Since Specialization
Citations

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

Fields of papers citing papers by Albert S. Mellick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert S. Mellick. 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 Albert S. Mellick. The network helps show where Albert S. Mellick may publish in the future.

Co-authorship network of co-authors of Albert S. Mellick

This figure shows the co-authorship network connecting the top 25 collaborators of Albert S. Mellick. A scholar is included among the top collaborators of Albert S. Mellick 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 Albert S. Mellick. Albert S. Mellick 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.
Xu, Jiangtao, et al.. (2023). Comparison of protein quantification methods for protein encapsulation with ZIF‐8 metal‐organic frameworks. Biotechnology Journal. 18(11). e2300015–e2300015. 10 indexed citations
2.
Mellick, Albert S., et al.. (2022). A Biomolecular Toolbox for Precision Nanomotors. Advanced Materials. 35(15). 2205746–2205746. 35 indexed citations
3.
Wally, Verena, John M. Whitelock, Mila Sajinovic, et al.. (2022). Chondroitin Sulfate Proteoglycan 4 as a Marker for Aggressive Squamous Cell Carcinoma. Cancers. 14(22). 5564–5564. 8 indexed citations
4.
Wimmer, Monika, Michael Ablinger, Josefina Piñón Hofbauer, et al.. (2020). A cancer stem cell-like phenotype is associated with miR-10b expression in aggressive squamous cell carcinomas. Cell Communication and Signaling. 18(1). 61–61. 22 indexed citations
5.
Cutler, Samuel J., James D. Doecke, Jinbo Yang, et al.. (2017). Novel STAT binding elements mediate IL-6 regulation of MMP-1 and MMP-3. Scientific Reports. 7(1). 8526–8526. 26 indexed citations
6.
Gasch, Christin, Lidija Jovanovic, Linda M. McInnes, et al.. (2015). Heterogeneity of miR-10b expression in circulating tumor cells. Scientific Reports. 5(1). 15980–15980. 35 indexed citations
7.
Li, Chun, Saeed M. Hashimi, Siyu Cao, et al.. (2013). The Mechanisms of Chansu in Inducing Efficient Apoptosis in Colon Cancer Cells. Evidence-based Complementary and Alternative Medicine. 2013. 1–11. 31 indexed citations
8.
Freeman, Ruth, Ryan J. Taft, Jelena Vider, et al.. (2012). MicroRNAs Regulate Tumor Angiogenesis Modulated by Endothelial Progenitor Cells. Cancer Research. 73(1). 341–352. 104 indexed citations
9.
Li, Chun, Saeed M. Hashimi, David A. Good, et al.. (2012). Apoptosis and microRNA aberrations in cancer. Clinical and Experimental Pharmacology and Physiology. 39(8). 739–746. 59 indexed citations
10.
Mellick, Albert S., Daniel J. Nolan, Dingcheng Gao, et al.. (2010). Using the Transcription Factor Inhibitor of DNA Binding 1 to Selectively Target Endothelial Progenitor Cells Offers Novel Strategies to Inhibit Tumor Angiogenesis and Growth. Cancer Research. 70(18). 7273–7282. 41 indexed citations
11.
Nolan, Daniel J., Alessia Ciarrocchi, Albert S. Mellick, et al.. (2007). Bone marrow-derived endothelial progenitor cells are a major determinant of nascent tumor neovascularization. Genes & Development. 21(12). 1546–1558. 319 indexed citations
12.
Cutler, Samuel J., et al.. (2005). Inhibitory Effects Associated with Use of Modified Photinus pyralis and Renilla reniformis Luciferase Vectors in Dual Reporter Assays and Implications for Analysis of ISGs. Journal of Interferon & Cytokine Research. 25(2). 92–102. 7 indexed citations
14.
Whitchurch, Cynthia B., Andrew J. Leech, Michael D. Young, et al.. (2004). Characterization of a complex chemosensory signal transduction system which controls twitching motility in Pseudomonas aeruginosa. Molecular Microbiology. 52(3). 873–893. 263 indexed citations
15.
Neužil, Jiřı́, Marco Tomasetti, Albert S. Mellick, et al.. (2004). Vitamin E Analogues: A New Class of Inducers of Apoptosis with Selective Anti-Cancer Effects. Current Cancer Drug Targets. 4(4). 355–372. 92 indexed citations
16.
Mellick, Albert S., et al.. (2004). Age-related changes in cardiac adenosine receptor expression. Mechanisms of Ageing and Development. 125(3). 211–217. 17 indexed citations
17.
Tajouri, Lotti, Albert S. Mellick, Kevin J. Ashton, et al.. (2003). Quantitative and qualitative changes in gene expression patterns characterize the activity of plaques in multiple sclerosis. Molecular Brain Research. 119(2). 170–183. 112 indexed citations
18.
Mellick, Albert S., et al.. (2003). An Assessment of MMP and TIMP Gene Expression in Cell Lines and Stroma – Tumour Differences in MicrodissectedBreast Cancer Biopsies. Tumor Biology. 24(5). 258–270. 12 indexed citations
19.
Mellick, Albert S., Christopher J. Day, Stephen R. Weinstein, Lyn R. Griffiths, & Nigel A. Morrison. (2002). Differential Gene Expression in Breast Cancer Cell Lines and Stroma-Tumour Differences in Microdissected Breast Cancer Biopsies Revealed by Display Array Analysis. Griffith Research Online (Griffith University, Queensland, Australia). 23 indexed citations
20.
Hendry, Ian A., Selena E. Bartlett, Kwong Joo Leck, et al.. (2000). Hypertolerance to morphine in Gzα-deficient mice. Brain Research. 870(1-2). 10–19. 54 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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