Erick J. Morris

4.7k citations
25 papers · 2.8k · h-index 22

Impact in

Papers in

    • Cell death mechanisms and regulation 10
    • DNA Repair Mechanisms 5
    • Cancer therapeutics and mechanisms 3
    • Melanoma and MAPK Pathways 2
    • Cancer-related Molecular Pathways 14

Erick J. Morris

24 papers receiving 2.7k citations

Peers

Erick J. Morris
Comparison fields: 5 of 107
  • Developmental Neuroscience 175
  • Oncology 1.1k
  • Molecular Biology 2.0k
  • Cellular and Molecular Neuroscience 456
  • Cell Biology 384
Replace Jonathan R. Whitfield with:
Jonathan R. Whitfield United Kingdom
Isabelle Martinou Switzerland
Hong Yao China
Yoshito Kinoshita United States
Koji Igarashi Japan
Xuefen Le Bourhis France
Eva Cano Spain
Sharon D. Morgenbesser United States
Catherine J. Pallen Canada
Dara Ditsworth United States
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Citations per field
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Citations per year

Countries citing papers authored by Erick J. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Erick J. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erick J. Morris, 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 Erick J. Morris Line = papers co-authored together Erick J. Morris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001279
2 1996261
3 1997251
4 2008236
5 1998226
6 1998214
7 1995194
8 2000182
9 2000135
10 2000127
11 200697
12 200196
13 200194
14 200565
15 200855
16 202250
17 200646
18 199941
19 201639
20 201837

About Erick J. Morris

Erick J. Morris is a scholar working on Molecular Biology, Oncology, Cell Biology, Computational Theory and Mathematics and Physiology, having authored 25 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (14 papers), Cell death mechanisms and regulation (10 papers), DNA Repair Mechanisms (5 papers), Cancer therapeutics and mechanisms (3 papers), Microtubule and mitosis dynamics (3 papers), Computational Drug Discovery Methods (2 papers), Melanoma and MAPK Pathways (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (175 citations), Oncology (1.1k citations), Molecular Biology (2.0k citations), Cellular and Molecular Neuroscience (456 citations) and Cell Biology (384 citations). Erick J. Morris has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Herbert M. Geller, Nicholas J. Dyson, David S. Park, Lloyd A. Greene, Michael L. Shelanski, Ruth S. Slack, Jaya Padmanabhan, William J. Nicklas, Alie N. Basma and Elizabeth Keramaris. Their work appears in journals such as Journal of Neuroscience, The Journal of Cell Biology, PLoS Genetics, Journal of Biological Chemistry and Journal of Neurochemistry.

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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