Phillip Larimer

796 citations
14 papers · 490 · h-index 11

Impact in

Papers in

Phillip Larimer

14 papers receiving 472 citations

Peers

Phillip Larimer
Comparison fields: 5 of 63
  • Developmental Neuroscience 105
  • Cellular and Molecular Neuroscience 349
  • Sensory Systems 92
  • Cognitive Neuroscience 236
  • Neurology 47
Replace Carsten K. Pfeffer with:
Carsten K. Pfeffer Germany
H. D. Schwark United States
Luis E. Gonzalez‐Reyes United States
Luping Yin United States
Xiangying Meng United States
Xiping Zhan United States
Ramón Reig Spain
Leslie H. Boyce United States
Sungchil Yang Hong Kong
Jérôme Epsztein France
Phillip Larimer relative to Carsten K. Pfeffer Germany Carsten K. Pfeffer's profile →
Citations per field
00.5×1.5×1.8×
Carsten K. Pfeffer · 1×
Citations per year

Countries citing papers authored by Phillip Larimer

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Larimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200893
2 200492
3 200972
4 200771
5 201730
6 201626
7 202022
8 201821
9 200918
10 201614
11 201913
12 201710
13 20136
14 20092

About Phillip Larimer

Phillip Larimer is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience, Psychiatry and Mental health and Molecular Biology, having authored 14 papers that have together received 490 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neural Engineering (4 papers), Photoreceptor and optogenetics research (4 papers), Epilepsy research and treatment (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Memory and Neural Mechanisms (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Developmental Neuroscience (105 citations), Cellular and Molecular Neuroscience (349 citations), Sensory Systems (92 citations), Cognitive Neuroscience (236 citations) and Neurology (47 citations). Phillip Larimer has collaborated with scholars based in United States and France. Frequent co-authors include Ben W. Strowbridge, Ramani Balu, Yuan Gao, Philip A. Williams, Andrea R. Hasenstaub, Arturo Álvarez-Buylla, Julien Spatazza, Michael P. Stryker, Megumi Kaneko and Brian J. Malone. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Epilepsy & Behavior, Cerebral Cortex and Epilepsy Research.

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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