Annette E. Allen

2.7k citations
48 papers · 1.9k · h-index 22

Impact in

Papers in

Annette E. Allen

48 papers receiving 1.9k citations

Peers

Annette E. Allen
Comparison fields: 5 of 88
  • Endocrine and Autonomic Systems 956
  • Sensory Systems 231
  • Cellular and Molecular Neuroscience 863
  • Cognitive Neuroscience 461
  • Aging 23
Replace H.–W. Liao with:
H.–W. Liao United States
Beth B. Peterson United States
J. Lem United States
Franck P. Martial United Kingdom
Carina A. Pothecary United Kingdom
Ludovic S. Mure United States
A. Cyrus Arman United States
Stuart C. Mangel United States
Stewart Thompson United Kingdom
Annette E. Allen relative to H.–W. Liao United States H.–W. Liao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Annette E. Allen

Since Specialization
Citations

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

Fields of papers citing papers by Annette E. Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991250
2 2012195
3 2015143
4 2012141
5 2014109
6 201489
7 201775
8 201870
9 201969
10 201160
11 201060
12 201759
13 201953
14 201051
15 202146
16 201645
17
Glycosidic enzymes enhance retinal transduction following intravitreal delivery of AAV2.
201138
18 202035
19 201333
20 201531

About Annette E. Allen

Annette E. Allen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems, Sensory Systems and Cognitive Neuroscience, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (32 papers), Retinal Development and Disorders (31 papers), Photoreceptor and optogenetics research (28 papers), Olfactory and Sensory Function Studies (12 papers), Neuroscience and Neural Engineering (6 papers), Neural dynamics and brain function (5 papers), Neurobiology and Insect Physiology Research (3 papers) and Impact of Light on Environment and Health (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (956 citations), Sensory Systems (231 citations), Cellular and Molecular Neuroscience (863 citations), Cognitive Neuroscience (461 citations) and Aging (23 citations). Annette E. Allen has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Robert J. Lucas, Timothy M. Brown, Franck P. Martial, Robert A. Bedford, Riccardo Storchi, Anthony Vugler, Stephen Colagiuri, A S Truswell, D.C.K. Roberts and Nina Milosavljevic. Their work appears in journals such as Current Biology, PLoS ONE, The Journal of Physiology, Journal of Neuroscience and Journal of Neurophysiology.

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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