Ewan E. Morrison

4.4k citations
72 papers · 3.7k · h-index 31

Impact in

Papers in

    • Microtubule and mitosis dynamics 22
    • Ubiquitin and proteasome pathways 10
    • Wnt/β-catenin signaling in development and cancer 7
    • Renal and related cancers 5

Ewan E. Morrison

71 papers receiving 3.6k citations

Peers

Ewan E. Morrison
Comparison fields: 5 of 127
  • Cell Biology 1.5k
  • Developmental Neuroscience 123
  • Molecular Biology 1.9k
  • Genetics 735
  • Endocrine and Autonomic Systems 141
Replace Wim J.M. Van de Ven with:
Wim J.M. Van de Ven Belgium
Toshiaki Sakisaka Japan
Li‐Yuan Yu‐Lee United States
Jan Sap United States
Neal G. Copeland United States
Naohito Nozaki Japan
Stefano Biffo Italy
Quansheng Du United States
Harald von Melchner Germany
Kirk R. Thomas United States
Ewan E. Morrison relative to Wim J.M. Van de Ven Belgium Wim J.M. Van de Ven's profile →
Citations per field
00.5×1.6×
Wim J.M. Van de Ven · 1×
Citations per year

Countries citing papers authored by Ewan E. Morrison

Since Specialization
Citations

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

Fields of papers citing papers by Ewan E. Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewan E. Morrison. 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 Ewan E. Morrison. The network helps show where Ewan E. Morrison may publish in the future.

Co-authors

The 25 scholars most cited alongside Ewan E. Morrison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ewan E. Morrison Line = papers co-authored together Ewan E. Morrison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005464
2 2015202
3 1998197
4 2008188
5 1997186
6 2002168
7 2008152
8 2009143
9 1998133
10 2000114
11 2005114
12 201099
13 200596
14 200776
15 199869
16 201166
17 200266
18 200460
19 201459
20 200756

About Ewan E. Morrison

Ewan E. Morrison is a scholar working on Cell Biology, Molecular Biology, Genetics, Behavioral Neuroscience and Oncology, having authored 72 papers that have together received 3.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (22 papers), Ubiquitin and proteasome pathways (10 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Virus-based gene therapy research (7 papers), Herpesvirus Infections and Treatments (6 papers), Adrenal Hormones and Disorders (5 papers), Stress Responses and Cortisol (5 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Cell Biology (1.5k citations), Developmental Neuroscience (123 citations), Molecular Biology (1.9k citations), Genetics (735 citations) and Endocrine and Autonomic Systems (141 citations). Ewan E. Morrison has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jon M. Askham, Maria Graciela Castro, D M Meredith, Jacquelyn Bond, Holly V. Goodson, David M. Meredith, Yi‐Fen Wang, Kevin T. Vaughan, Michelle Peckham and Alexander F. Markham. Their work appears in journals such as PLoS ONE, Oncogene, British Journal of Cancer, BMC Cell Biology and Biochemical Society Transactions.

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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