Richard Killick

82 papers receiving 4.1k citations

Richard Killick's Hit Papers

The GSK3 hypothesis of Alzheimer’s disease 2007 · 1.0k citations
1.0k0+6+12Years since publication2505007501000

Peers

Richard Killick
Comparison fields: 5 of 128
  • Physiology 1.5k
  • Biological Psychiatry 119
  • Developmental Neuroscience 197
  • Aging 87
  • Cellular and Molecular Neuroscience 875
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Kentaro Tanemura Japan
Marcello D’Amelio Italy
Marc Gleichmann United States
Margarita Carmona Spain
Tiziana Borsello Italy
Fang Cai Canada
Inger Lauritzen France
Malcolm A. Leissring United States
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Citations per year

Countries citing papers authored by Richard Killick

Since Specialization
Citations

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

Fields of papers citing papers by Richard Killick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The GSK3 hypothesis of Alzheimer’s disease
Hit paper breakdown →
20071004
2 2007308
3 2007165
4 2011157
5 2014151
6 2010150
7 2007139
8 2009112
9 2001109
10 2011103
11 200891
12 201287
13 201883
14 201279
15 199572
16 200467
17 200063
18 197762
19 201161
20 200660

About Richard Killick

Richard Killick is a scholar working on Molecular Biology, Physiology, Plant Science, Cellular and Molecular Neuroscience and Oncology, having authored 86 papers that have together received 4.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (28 papers), Wnt/β-catenin signaling in development and cancer (11 papers), Plant Pathogens and Resistance (9 papers), Plant Disease Resistance and Genetics (7 papers), Cancer-related Molecular Pathways (7 papers), Potato Plant Research (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Nuclear Receptors and Signaling (5 papers). The work is most often cited by research in Physiology (1.5k citations), Biological Psychiatry (119 citations), Developmental Neuroscience (197 citations), Aging (87 citations) and Cellular and Molecular Neuroscience (875 citations). Richard Killick has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Simon Lovestone, Claudie Hooper, Gerry Melino, Guy P. Richardson, Marta Di Forti, Robin Murray, Mahvash Tavassoli, Brian H. Anderton, Karl-Peter Giese and Abdul Hye. Their work appears in journals such as Heredity, European Journal of Neuroscience, Hearing Research, Alzheimer s & Dementia and Journal of Biological Chemistry.

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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