Ritchie Williamson

39 papers receiving 2.2k citations

Peers

Ritchie Williamson
Comparison fields: 5 of 100
  • Physiology 884
  • Biological Psychiatry 65
  • Cellular and Molecular Neuroscience 418
  • Neurology 174
  • Behavioral Neuroscience 72
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Geoffrey Murdoch United States
Lucı́a Núñez Spain
Neelam Shahani United States
Seong-Woon Yu South Korea
Martin Ramsden United Kingdom
Agnès Petit-Paitel France
Francesc X. Guix Spain
Alberto Pérez‐Mediavilla Spain
Chunjiang Yu United States
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Citations per year

Countries citing papers authored by Ritchie Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Ritchie Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010369
2 2002190
3 1992180
4 2005155
5 1990151
6 2007110
7 2010104
8 201083
9 201275
10 200975
11 201173
12 200359
13 201257
14 198555
15 201153
16 201749
17 201146
18 199839
19 201131
20 201830

About Ritchie Williamson

Ritchie Williamson is a scholar working on Molecular Biology, Physiology, Cell Biology, Animal Science and Zoology and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Glycosylation and Glycoproteins Research (5 papers), Animal Nutrition and Physiology (4 papers), Galectins and Cancer Biology (3 papers), Microtubule and mitosis dynamics (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Cellular transport and secretion (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Physiology (884 citations), Biological Psychiatry (65 citations), Cellular and Molecular Neuroscience (418 citations), Neurology (174 citations) and Behavioral Neuroscience (72 citations). Ritchie Williamson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Calum Sutherland, Brian H. Anderton, Diane P. Hanger, Alison D. McNeilly, C. Hugh Reynolds, Alessia Usardi, Nobuaki Maeda, John R. Hagaman, Dong Hyun Lee and T.F. Davison. Their work appears in journals such as General and Comparative Endocrinology, Journal of Neuroscience, Diabetologia, Proceedings of the National Academy of Sciences and Current Alzheimer Research.

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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