Ann E. Kingston

3.2k citations
51 papers · 2.7k · h-index 32

Impact in

Papers in

Ann E. Kingston

50 papers receiving 2.6k citations

Peers

Ann E. Kingston
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 1.9k
  • Neurology 316
  • Developmental Neuroscience 130
  • Biological Psychiatry 78
  • Molecular Biology 1.3k
Replace Thorsten Melcher with:
Thorsten Melcher Germany
Marie‐Christine Miquel France
Jean‐Yves Chatton Switzerland
Leonard Khiroug Finland
Nobuki Nakanishi United States
Peter R. Maycox United Kingdom
D M Chuang United States
Volker Eulenburg Germany
Ana Luı́sa Carvalho Portugal
David N. Bowser Australia
Ann E. Kingston relative to Thorsten Melcher Germany Thorsten Melcher's profile →
Citations per field
00.5×1.5×
Thorsten Melcher · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999242
2 1999145
3 1998138
4 2001118
5 1999116
6 1997116
7 200594
8 200087
9 199985
10 199684
11 199583
12 199178
13 200777
14 199577
15 200975
16 201272
17 200067
18 198967
19 200966
20 200256

About Ann E. Kingston

Ann E. Kingston is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Physiology and Spectroscopy, having authored 51 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (32 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 Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Neurology (316 citations), Developmental Neuroscience (130 citations), Biological Psychiatry (78 citations) and Molecular Biology (1.3k 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, Journal of Pharmacology and Experimental Therapeutics and Infection and Immunity.

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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