Graham E. Little

1.1k citations
27 papers · 858 · h-index 16

Impact in

Papers in

Graham E. Little

26 papers receiving 852 citations

Peers

Graham E. Little
Comparison fields: 5 of 49
  • Developmental Neuroscience 51
  • Cellular and Molecular Neuroscience 212
  • Pediatrics, Perinatology and Child Health 61
  • Cognitive Neuroscience 104
  • Structural Biology 8
Replace Agnes A. M. Gribnau with:
Agnes A. M. Gribnau Netherlands
Jakob Jankowski Germany
Shashi Wadhwa India
Yasuyo H. Tanaka Japan
Tzyy‐Nan Huang Taiwan
Knut Kirmse Germany
Barbara Chapman United States
Alexandra Rebsam France
Steven F. Stasheff United States
Tamar G. Lordkipanidze Georgia
Graham E. Little relative to Agnes A. M. Gribnau Netherlands Agnes A. M. Gribnau's profile →
Citations per field
00.5×5×10×16×
Agnes A. M. Gribnau · 1×
Citations per year

Countries citing papers authored by Graham E. Little

Since Specialization
Citations

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

Fields of papers citing papers by Graham E. Little

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013104
2 2007103
3 200885
4 201369
5 200962
6 201260
7 201454
8 201253
9 201132
10 201827
11 202026
12 201823
13 201322
14 201922
15 202021
16 201719
17 201916
18 202112
19 202111
20 202410

About Graham E. Little

Graham E. Little is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Developmental Neuroscience, having authored 27 papers that have together received 858 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (6 papers), Axon Guidance and Neuronal Signaling (4 papers), Nerve injury and regeneration (3 papers), Epilepsy research and treatment (2 papers), Prenatal Substance Exposure Effects (2 papers), Functional Brain Connectivity Studies (2 papers), EEG and Brain-Computer Interfaces (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (51 citations), Cellular and Molecular Neuroscience (212 citations), Pediatrics, Perinatology and Child Health (61 citations), Cognitive Neuroscience (104 citations) and Structural Biology (8 citations). Graham E. Little has collaborated with scholars based in Canada, United Kingdom and Ireland. Frequent co-authors include Kevin J. Mitchell, Christian Beaulieu, Vincenzo De Paola, Annette E. Rünker, Lieven Huang, Bohumil Maco, Graham William Knott, Fumikazu Suto, Hajime Fujisawa and Matthieu Vermeren. Their work appears in journals such as Human Brain Mapping, Neural Development, NeuroImage, Nature Communications and Brain Structure and Function.

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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