Ann E. Kingston

3.3k citations
49 papers · 2.8k · h-index 33

Impact in

Papers in

Ann E. Kingston

49 papers receiving 2.7k citations

Peers

Ann E. Kingston
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 2.0k
  • Neurology 311
  • Developmental Neuroscience 136
  • Biological Psychiatry 74
  • Molecular Biology 1.4k
Replace Gregor Laube with:
Gregor Laube Germany
Leonard S. Khiroug Finland
David N. Bowser Australia
Ingo H. Greger United Kingdom
Ana Luı́sa Carvalho Portugal
Mark John Wall United Kingdom
D M Chuang United States
Kristin Baer United Kingdom
Cristina Zona Italy
Françoise Coussen France
Ann E. Kingston relative to Gregor Laube Germany Gregor Laube's profile →
Citations per field
00.5×1.5×
Gregor Laube · 1×
Citations per year

Countries citing papers authored by Ann E. Kingston

Since Specialization
Citations

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

Fields of papers citing papers by Ann E. Kingston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann E. Kingston. 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 Ann E. Kingston. The network helps show where Ann E. Kingston may publish in the future.

Co-authors

The 25 scholars most cited alongside Ann E. Kingston, 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 Ann E. Kingston Line = papers co-authored together Ann E. Kingston 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 1999261
2 1999149
3 1998147
4 2001131
5 1997123
6 1999120
7 2005100
8 199693
9 199992
10 200087
11 200786
12 199586
13 201284
14 199583
15 199180
16 200977
17 198973
18 200968
19 200068
20 200264

About Ann E. Kingston

Ann E. Kingston is a scholar working on Cellular and Molecular Neuroscience, Neurology, Spectroscopy, Molecular Biology and Physiology, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (31 papers), Receptor Mechanisms and Signaling (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Molecular Sensors and Ion Detection (7 papers), Ion channel regulation and function (6 papers), Photoreceptor and optogenetics research (6 papers), Alzheimer's disease research and treatments (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Neurology (311 citations), Developmental Neuroscience (136 citations), Biological Psychiatry (74 citations) and Molecular Biology (1.4k citations). Ann E. Kingston has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include David Lodge, Darryle D. Schoepp, Rebecca A. Wright, James A. Monn, M J Colston, Stephen M. Fitzjohn, Bryan G. Johnson, Kristján R. Jessen, Graham L. Collingridge and Kristín Bergsteinsdóttir. Their work appears in journals such as Neuropharmacology, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Infection and Immunity and Journal of Pharmacology and Experimental Therapeutics.

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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