Anne Williamson

4.1k citations
49 papers · 3.3k · h-index 33

Impact in

Papers in

Anne Williamson

48 papers receiving 3.2k citations

Peers

Anne Williamson
Comparison fields: 5 of 109
  • Cellular and Molecular Neuroscience 2.0k
  • Developmental Neuroscience 285
  • Psychiatry and Mental health 730
  • Cognitive Neuroscience 782
  • Neurology 287
Replace Carolina Frassoni with:
Carolina Frassoni Italy
Anne E. Anderson United States
Tim A. Benke United States
G. Le Gal La Salle France
Kurt Haas United States
Christian Alzheimer Germany
Edward C. Cooper United States
Fredrik Asztély Sweden
Robert C. Collins United States
Rüdiger Köhling Germany
Anne Williamson relative to Carolina Frassoni Italy Carolina Frassoni's profile →
Citations per field
00.5×1.5×2.0×
Carolina Frassoni · 1×
Citations per year

Countries citing papers authored by Anne Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Anne Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003304
2 1989251
3 2003203
4 1991187
5 1991170
6 2008132
7 2005125
8 2009122
9 1996111
10 2007105
11 200897
12 200890
13 199983
14 201678
15 200371
16 200671
17 199966
18 199564
19 198862
20 200560

About Anne Williamson

Anne Williamson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Psychiatry and Mental health, Cognitive Neuroscience and Physiology, having authored 49 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (38 papers), Epilepsy research and treatment (19 papers), Ion channel regulation and function (17 papers), Neuroscience and Neural Engineering (7 papers), Neural dynamics and brain function (6 papers), Mitochondrial Function and Pathology (4 papers), Memory and Neural Mechanisms (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Developmental Neuroscience (285 citations), Psychiatry and Mental health (730 citations), Cognitive Neuroscience (782 citations) and Neurology (287 citations). Anne Williamson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David A. McCormick, Dennis D. Spencer, Peter R. Patrylo, Nihal C. de Lanerolle, Tore Eid, Bradley E. Alger, Ognen A. C. Petroff, Hans‐Christian Pape, Susan S. Spencer and Hitten P. Zaveri. Their work appears in journals such as Epilepsia, Journal of Neurophysiology, Journal of Neuroscience, Progress in brain research and Annals of Neurology.

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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