Simon Morton

782 total citations
9 papers, 648 citations indexed

About

Simon Morton is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Simon Morton has authored 9 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Simon Morton's work include Protein Kinase Regulation and GTPase Signaling (3 papers), NF-κB Signaling Pathways (2 papers) and Melanoma and MAPK Pathways (2 papers). Simon Morton is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), NF-κB Signaling Pathways (2 papers) and Melanoma and MAPK Pathways (2 papers). Simon Morton collaborates with scholars based in United Kingdom, United States and Singapore. Simon Morton's co-authors include Philip Cohen, Mark Peggie, Luke B. Hesson, Roger J. Davis, Iva Klevernic, Margaret J. Stafford, Nicholas A. Morrice, Edward Rosser, Ntsane Moleleki and David G. Campbell and has published in prestigious journals such as The EMBO Journal, Biochemical Journal and FEBS Letters.

In The Last Decade

Simon Morton

9 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Morton United Kingdom 9 459 118 100 91 89 9 648
Takahiko Yamada Japan 14 407 0.9× 75 0.6× 54 0.5× 93 1.0× 46 0.5× 39 601
Gina Fusaro United States 9 723 1.6× 80 0.7× 121 1.2× 200 2.2× 114 1.3× 12 920
Stela S. Palii United States 13 636 1.4× 41 0.3× 77 0.8× 92 1.0× 123 1.4× 16 809
María Sol Degese Argentina 8 584 1.3× 91 0.8× 87 0.9× 186 2.0× 320 3.6× 8 894
Thomas W. Owens United Kingdom 14 542 1.2× 97 0.8× 98 1.0× 199 2.2× 93 1.0× 18 742
Enyuan Shang United States 17 921 2.0× 62 0.5× 201 2.0× 99 1.1× 54 0.6× 27 1.2k
D.R. Jones United States 13 635 1.4× 56 0.5× 52 0.5× 268 2.9× 138 1.6× 20 919
Jibiao Huang United States 10 208 0.5× 139 1.2× 48 0.5× 29 0.3× 60 0.7× 12 440
Xavier Le Guezennec Singapore 13 959 2.1× 85 0.7× 104 1.0× 199 2.2× 90 1.0× 21 1.2k
Soula Ganiatsas United States 9 614 1.3× 156 1.3× 79 0.8× 248 2.7× 122 1.4× 10 829

Countries citing papers authored by Simon Morton

Since Specialization
Citations

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

Fields of papers citing papers by Simon Morton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Morton

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

All Works

9 of 9 papers shown
1.
Wilson, Robert H., Simon Morton, Monica L. Gerth, et al.. (2013). Engineered DNA ligases with improved activities in vitro. Protein Engineering Design and Selection. 26(7). 471–478. 19 indexed citations
2.
Smith, Hilary A., Xinyu Liu, Liang Dai, et al.. (2011). The role of TBK1 and IKKϵ in the expression and activation of Pellino 1. Biochemical Journal. 434(3). 537–548. 46 indexed citations
3.
Morton, Simon, Luke B. Hesson, Mark Peggie, & Philip Cohen. (2008). Enhanced binding of TBK1 by an optineurin mutant that causes a familial form of primary open angle glaucoma. FEBS Letters. 582(6). 997–1002. 137 indexed citations
4.
Klevernic, Iva, Simon Morton, Roger J. Davis, & Philip Cohen. (2008). Phosphorylation of Ewing's sarcoma protein (EWS) and EWS-Fli1 in response to DNA damage. Biochemical Journal. 418(3). 625–634. 25 indexed citations
5.
Klevernic, Iva, Margaret J. Stafford, Nicholas A. Morrice, et al.. (2006). Characterization of the reversible phosphorylation and activation of ERK8. Biochemical Journal. 394(1). 365–373. 51 indexed citations
6.
Morton, Simon, Huei‐Ting Yang, Ntsane Moleleki, et al.. (2006). Phosphorylation of the ARE-binding protein DAZAP1 by ERK2 induces its dissociation from DAZ. Biochemical Journal. 399(2). 265–273. 27 indexed citations
7.
Morton, Simon, Roger J. Davis, & Philip Cohen. (2004). Signalling pathways involved in multisite phosphorylation of the transcription factor ATF‐2. FEBS Letters. 572(1-3). 177–183. 73 indexed citations
8.
Rosser, Edward, Simon Morton, Kate S. Ashton, Philip Cohen, & Alison N. Hulme. (2003). Synthetic anisomycin analogues activating the JNK/SAPK1 and p38/SAPK2 pathways. Organic & Biomolecular Chemistry. 2(1). 142–142. 27 indexed citations
9.
Morton, Simon. (2003). A reinvestigation of the multisite phosphorylation of the transcription factor c-Jun. The EMBO Journal. 22(15). 3876–3886. 243 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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