Ken Morrell

1.2k citations
9 papers · 1.0k · h-index 8

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
  • Physiology top 10%
    • Alzheimer's disease research and treatments

Papers in

Ken Morrell

8 papers receiving 1.0k citations

Peers

Ken Morrell
Comparison fields: 5 of 73
  • Neurology 470
  • Neurology 207
  • Physiology 302
  • Cellular and Molecular Neuroscience 226
  • Cell Biology 200
Replace Takashi Ishizawa with:
Takashi Ishizawa Japan
Hiroyuki Morino Japan
Hien Tran United States
Katrin Fellerer Germany
Parastoo Momeni United States
Masamitsu Takatama Japan
Ryogen Sasaki Japan
Maria Mattheijssens Belgium
Tomoya Kon Japan
Norman Kock Germany
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Citations per field
00.5×4.3×
Takashi Ishizawa · 1×
Citations per year

Countries citing papers authored by Ken Morrell

Since Specialization
Citations

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

Fields of papers citing papers by Ken Morrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ken Morrell, 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 Ken Morrell Line = papers co-authored together Ken Morrell links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1988457
2 1988192
3 1989166
4 198873
5 199570
6 199044
7 198924
8
Epidermal growth factor receptor expression in Barrett's esophagus.
19928
9
Education Gets a Boost at Nashville Reading Center.
19691

About Ken Morrell

Ken Morrell is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Surgery and Neurology, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (4 papers), Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (2 papers), Neurological diseases and metabolism (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Neurological disorders and treatments (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Neurology (470 citations), Neurology (207 citations), Physiology (302 citations), Cellular and Molecular Neuroscience (226 citations) and Cell Biology (200 citations). Ken Morrell has collaborated with scholars based in United Kingdom. Frequent co-authors include James Lowe, Graham Lennox, Michael Landon, R. John Mayer, Michael A. Billett, Andrew D. Blanchard, Lindsay M. Reynolds, Trevor Gray, D. Jefferson and F J Doherty. Their work appears in journals such as Neuropathology and Applied Neurobiology, Journal of Neurology Neurosurgery & Psychiatry, Journal of neurosurgery, The Journal of Pathology and Neuroscience Letters.

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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