Mark J. Coldwell

1.9k total citations
33 papers, 1.3k citations indexed

About

Mark J. Coldwell is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Mark J. Coldwell has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Genetics. Recurrent topics in Mark J. Coldwell's work include RNA and protein synthesis mechanisms (17 papers), RNA Research and Splicing (11 papers) and PI3K/AKT/mTOR signaling in cancer (10 papers). Mark J. Coldwell is often cited by papers focused on RNA and protein synthesis mechanisms (17 papers), RNA Research and Splicing (11 papers) and PI3K/AKT/mTOR signaling in cancer (10 papers). Mark J. Coldwell collaborates with scholars based in United Kingdom, Australia and China. Mark J. Coldwell's co-authors include Anne E. Willis, Sally A. Mitchell, Simon Morley, Richard J. Jackson, Keith A. Spriggs, Mark Stoneley, Marion MacFarlane, M J Clemens, Graham Packham and Becky M. Pickering and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Blood.

In The Last Decade

Mark J. Coldwell

32 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark J. Coldwell 1.2k 252 120 99 89 33 1.3k
Gregg J. Johannes 1.0k 0.9× 211 0.8× 102 0.8× 157 1.6× 307 3.4× 20 1.3k
Fabien Bonneau 1.9k 1.6× 98 0.4× 136 1.1× 53 0.5× 122 1.4× 37 2.2k
Ashkan Haghighat 1.4k 1.2× 289 1.1× 84 0.7× 51 0.5× 62 0.7× 7 1.6k
Roscoe Klinck 2.0k 1.7× 173 0.7× 54 0.5× 132 1.3× 389 4.4× 37 2.2k
Rafael Cuesta 1.2k 1.0× 129 0.5× 86 0.7× 115 1.2× 129 1.4× 19 1.4k
Jack O. Hensold 1.0k 0.8× 63 0.3× 153 1.3× 145 1.5× 120 1.3× 26 1.3k
Hirohiko Yajima 857 0.7× 160 0.6× 179 1.5× 293 3.0× 144 1.6× 19 1.0k
Gustavo J. Gutierrez 614 0.5× 98 0.4× 224 1.9× 146 1.5× 61 0.7× 29 796
Mathieu Durand 1.4k 1.1× 53 0.2× 58 0.5× 81 0.8× 260 2.9× 26 1.6k
Anne Cammas 943 0.8× 78 0.3× 31 0.3× 61 0.6× 135 1.5× 24 1.1k

Countries citing papers authored by Mark J. Coldwell

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Coldwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Coldwell

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Coldwell. A scholar is included among the top collaborators of Mark J. Coldwell 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 J. Coldwell. Mark J. Coldwell 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.
Divecha, Nullin, et al.. (2023). A luminescence-based reporter to study tau secretion reveals overlapping mechanisms for the release of healthy and pathological tau. Frontiers in Neuroscience. 17. 1196007–1196007. 1 indexed citations
2.
Coldwell, Mark J., Freda K. Stevenson, Francesco Forconi, et al.. (2022). B-cell receptor signaling induces proteasomal degradation of PDCD4 via MEK1/2 and mTORC1 in malignant B cells. Cellular Signalling. 94. 110311–110311. 4 indexed citations
3.
Liu, Huiquan, Dian Liu, Ping Peng, et al.. (2021). Correction: WDHD1 is essential for the survival of PTEN-inactive triple-negative breast cancer. Cell Death and Disease. 12(3). 269–269. 1 indexed citations
4.
Stevenson, Freda K., Francesco Forconi, Andrew J. Steele, et al.. (2021). Targeted inhibition of eIF4A suppresses B-cell receptor-induced translation and expression of MYC and MCL1 in chronic lymphocytic leukemia cells. Cellular and Molecular Life Sciences. 78(17-18). 6337–6349. 22 indexed citations
5.
Liu, Huiquan, Dian Liu, Ping Peng, et al.. (2020). WDHD1 is essential for the survival of PTEN-inactive triple-negative breast cancer. Cell Death and Disease. 11(11). 1001–1001. 21 indexed citations
6.
Schofield, James, et al.. (2020). A 5′ UTR GGN repeat controls localisation and translation of a potassium leak channel mRNA through G-quadruplex formation. Nucleic Acids Research. 48(17). 9822–9839. 30 indexed citations
7.
Xie, Jianling, Viviane S. Alves, Tobias von der Haar, et al.. (2019). Regulation of the Elongation Phase of Protein Synthesis Enhances Translation Accuracy and Modulates Lifespan. Current Biology. 29(5). 737–749.e5. 60 indexed citations
8.
Yeomans, Alison, Breeze E. Cavell, Beatriz Valle‐Argos, et al.. (2016). PEITC-mediated inhibition of mRNA translation is associated with both inhibition of mTORC1 and increased eIF2α phosphorylation in established cell lines and primary human leukemia cells. Oncotarget. 7(46). 74807–74819. 10 indexed citations
9.
Coldwell, Mark J., et al.. (2013). Phosphorylation of eIF4GII and 4E-BP1 in response to nocodazole treatment: A reappraisal of translation initiation during mitosis. Cell Cycle. 12(23). 3615–3628. 41 indexed citations
10.
Davey, Norman E., et al.. (2012). SLiMPrints: conservation-based discovery of functional motif fingerprints in intrinsically disordered protein regions. Nucleic Acids Research. 40(21). 10628–10641. 71 indexed citations
11.
12.
Spriggs, Keith A., Laura C. Cobbold, Simon H. Ridley, et al.. (2009). The human insulin receptor mRNA contains a functional internal ribosome entry segment. Nucleic Acids Research. 37(17). 5881–5893. 41 indexed citations
13.
14.
Morley, Simon & Mark J. Coldwell. (2007). 16 Matters of Life and Death: Translation Initiation during Apoptosis. Cold Spring Harbor Monograph Archive. 48. 433–458. 2 indexed citations
15.
Dobbyn, Helen C., Kirsti Hill, Tiffany L. Hamilton, et al.. (2007). Regulation of BAG-1 IRES-mediated translation following chemotoxic stress. Oncogene. 27(8). 1167–1174. 54 indexed citations
16.
Coldwell, Mark J. & Simon Morley. (2006). Specific Isoforms of Translation Initiation Factor 4GI Show Differences in Translational Activity. Molecular and Cellular Biology. 26(22). 8448–8460. 40 indexed citations
17.
Hinton, Tracey M., Mark J. Coldwell, Gillian Carpenter, Simon Morley, & Virginia M. Pain. (2006). Functional Analysis of Individual Binding Activities of the Scaffold Protein eIF4G. Journal of Biological Chemistry. 282(3). 1695–1708. 53 indexed citations
18.
Morley, Simon, Mark J. Coldwell, & M J Clemens. (2005). Initiation factor modifications in the preapoptotic phase. Cell Death and Differentiation. 12(6). 571–584. 75 indexed citations
19.
Mitchell, Sally A., Keith A. Spriggs, Mark J. Coldwell, Richard J. Jackson, & Anne E. Willis. (2003). The Apaf-1 Internal Ribosome Entry Segment Attains the Correct Structural Conformation for Function via Interactions with PTB and unr. Molecular Cell. 11(3). 757–771. 211 indexed citations
20.
Coldwell, Mark J., Sally A. Mitchell, Mark Stoneley, Marion MacFarlane, & Anne E. Willis. (2000). Initiation of Apaf-1 translation by internal ribosome entry. Oncogene. 19(7). 899–905. 174 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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