Mark Melville

1.3k total citations
17 papers, 1.0k citations indexed

About

Mark Melville is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Mark Melville has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Genetics. Recurrent topics in Mark Melville's work include Viral Infectious Diseases and Gene Expression in Insects (10 papers), Heat shock proteins research (7 papers) and Protein purification and stability (6 papers). Mark Melville is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (10 papers), Heat shock proteins research (7 papers) and Protein purification and stability (6 papers). Mark Melville collaborates with scholars based in United States, Ireland and India. Mark Melville's co-authors include Michael G. Katze, Judith Frydman, Mark Leonard, Martin Clynes, Padraig Doolan, Paula Meleady, Patrick Gammell, Niall Barron, Marlene Wambach and Seng-Lai Tan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Mark Melville

17 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Melville United States 16 874 171 169 147 82 17 1.0k
Leonardo G. Alonso Argentina 17 543 0.6× 122 0.7× 140 0.8× 124 0.8× 64 0.8× 36 792
David Poon United States 19 1.2k 1.4× 231 1.4× 137 0.8× 79 0.5× 97 1.2× 29 1.5k
Raffi Tonikian Canada 9 653 0.7× 88 0.5× 111 0.7× 226 1.5× 106 1.3× 12 893
Shiteshu Shrimal United States 13 751 0.9× 66 0.4× 304 1.8× 254 1.7× 53 0.6× 20 1.0k
Béatrice Kunz Switzerland 17 674 0.8× 114 0.7× 366 2.2× 254 1.7× 30 0.4× 26 1.2k
Serguei Popov United States 16 1.2k 1.4× 147 0.9× 173 1.0× 137 0.9× 195 2.4× 21 1.5k
Nigel Roberts United Kingdom 16 1.6k 1.8× 284 1.7× 92 0.5× 98 0.7× 25 0.3× 25 1.8k
Sarah F. Mitchell United States 14 1.8k 2.0× 94 0.5× 69 0.4× 104 0.7× 41 0.5× 20 1.9k
Assen Marintchev United States 27 2.0k 2.3× 181 1.1× 94 0.6× 145 1.0× 41 0.5× 41 2.2k
Alexis Huet United States 17 520 0.6× 111 0.6× 73 0.4× 82 0.6× 100 1.2× 27 871

Countries citing papers authored by Mark Melville

Since Specialization
Citations

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

Fields of papers citing papers by Mark Melville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Melville

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

All Works

17 of 17 papers shown
1.
Estes, Scott & Mark Melville. (2013). Mammalian Cell Line Developments in Speed and Efficiency. Advances in biochemical engineering, biotechnology. 139. 11–33. 42 indexed citations
2.
Melville, Mark, Padraig Doolan, William Mounts, et al.. (2011). Development and characterization of a Chinese hamster ovary cell-specific oligonucleotide microarray. Biotechnology Letters. 33(9). 1773–1779. 16 indexed citations
3.
Meleady, Paula, Padraig Doolan, Michael Henry, et al.. (2011). Sustained productivity in recombinant Chinese Hamster Ovary (CHO) cell lines: proteome analysis of the molecular basis for a process-related phenotype. BMC Biotechnology. 11(1). 78–78. 64 indexed citations
4.
Clarke, Colin, Padraig Doolan, Niall Barron, et al.. (2011). Large scale microarray profiling and coexpression network analysis of CHO cells identifies transcriptional modules associated with growth and productivity. Journal of Biotechnology. 155(3). 350–359. 56 indexed citations
5.
Doolan, Padraig, Niall Barron, Paula Kinsella, et al.. (2011). Microarray expression profiling identifies genes regulating sustained cell specific productivity (S‐Qp) in CHO K1 production cell lines. Biotechnology Journal. 7(4). 516–526. 14 indexed citations
6.
Clarke, Colin, Padraig Doolan, Niall Barron, et al.. (2010). Predicting cell-specific productivity from CHO gene expression. Journal of Biotechnology. 151(2). 159–165. 71 indexed citations
7.
8.
Doolan, Padraig, Mark Melville, Patrick Gammell, et al.. (2008). Transcriptional Profiling of Gene Expression Changes in a PACE-Transfected CHO DUKX Cell Line Secreting High Levels of rhBMP-2. Molecular Biotechnology. 39(3). 187–199. 43 indexed citations
9.
Meleady, Paula, Michael Henry, Patrick Gammell, et al.. (2008). Proteomic profiling of CHO cells with enhanced rhBMP‐2 productivity following co‐expression of PACEsol. PROTEOMICS. 8(13). 2611–2624. 43 indexed citations
10.
Melville, Mark, Amie J. McClellan, Anne S. Meyer, André Darveau, & Judith Frydman. (2003). The Hsp70 and TRiC/CCT Chaperone Systems Cooperate In Vivo To Assemble the Von Hippel-Lindau Tumor Suppressor Complex. Molecular and Cellular Biology. 23(9). 3141–3151. 117 indexed citations
12.
Melville, Mark, et al.. (2001). Review: Cellular Substrates of the Eukaryotic Chaperonin TRiC/CCT. Journal of Structural Biology. 135(2). 176–184. 109 indexed citations
13.
Melville, Mark, et al.. (2000). P58IPK, a novel cochaperone containing tetratricopeptide repeats and a J-domain with oncogenic potential. Cellular and Molecular Life Sciences. 57(2). 311–322. 28 indexed citations
14.
Melville, Mark, Seng-Lai Tan, Marlene Wambach, et al.. (1999). The Cellular Inhibitor of the PKR Protein Kinase, P58IPK, Is an Influenza Virus-activated Co-chaperone That Modulates Heat Shock Protein 70 Activity. Journal of Biological Chemistry. 274(6). 3797–3803. 108 indexed citations
15.
Fliss, Albert, Jie Rao, Mark Melville, Michael E. Cheetham, & Avrom J. Caplan. (1999). Domain Requirements of DnaJ-like (Hsp40) Molecular Chaperones in the Activation of a Steroid Hormone Receptor. Journal of Biological Chemistry. 274(48). 34045–34052. 41 indexed citations
16.
Gale, Michael, Collin M. Blakely, Deborah Hopkins, et al.. (1998). Regulation of Interferon-Induced Protein Kinase PKR: Modulation of P58IPK Inhibitory Function by a Novel Protein, P52rIPK. Molecular and Cellular Biology. 18(2). 859–871. 73 indexed citations
17.
Melville, Mark, William J. Hansen, Brian Freeman, William J. Welch, & Michael G. Katze. (1997). The molecular chaperone hsp40 regulates the activity of P58 IPK , the cellular inhibitor of PKR. Proceedings of the National Academy of Sciences. 94(1). 97–102. 92 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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