Ian F. Kimbrough

1.0k citations
11 papers · 784 indexed · 1 hit paper · h-index 7

Ian F. Kimbrough

10 papers receiving 772 citations

Hit Papers

Disruption of astrocyte–vascular coupling and the blood–b...4162014202620182022100200300400

Peers

Ian F. Kimbrough
Comparison fields: 5 of 85
  • Neurology 202
  • Genetics 188
  • Cellular and Molecular Neuroscience 197
  • Developmental Neuroscience 40
  • Biomedical Engineering 195
Replace Graham Ellis-Davies with:
Graham Ellis-Davies United States
Robert T. Wicks United States
Tessa Johung United States
Hassan Boukhaddaoui France
Bryson M. Brewer United States
Franck Debarbieux France
Alison Bienemann United Kingdom
Yu‐Chieh Jill Kao Taiwan
Tongcheng Qian United States
Heinz Arnold Germany
Ian F. Kimbrough relative to Graham Ellis-Davies United States Graham Ellis-Davies's profile →
Citations per field
00.5×3.1×
Graham Ellis-Davies · 1×
Citations per year

Countries citing papers authored by Ian F. Kimbrough

Since Specialization
Citations

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

Fields of papers citing papers by Ian F. Kimbrough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian F. Kimbrough. 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 Ian F. Kimbrough. The network helps show where Ian F. Kimbrough may publish in the future.

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20241
2 202432
3 20231
4 20234
5 202260
6 202114
7 202071
8 201778
9 2015106
10 20151
11
Disruption of astrocyte–vascular coupling and the blood–brain barrier by invading glioma cellsbreakdown →
2014416

About Ian F. Kimbrough

Ian F. Kimbrough is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 11 papers that have together received 784 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), Barrier Structure and Function Studies (3 papers), Photoreceptor and optogenetics research (3 papers), Neural dynamics and brain function (3 papers), Alzheimer's disease research and treatments (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Neurological Disease Mechanisms and Treatments (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Neurology (202 citations), Genetics (188 citations) and Cellular and Molecular Neuroscience (197 citations). Ian F. Kimbrough has collaborated with scholars based in United States and Japan. Frequent co-authors include Harald Sontheimer, Stefanie Robel, Graham Ellis-Davies, Stephanie M. Robert, Stacey Watkins, Erik D. Roberson, Shan Jiang, Xiaoting Jia, Yuanyuan Guo and William A. Mills. Their work appears in journals such as Nature Communications, Brain, Alzheimer s & Dementia, Nature Neuroscience and Biosensors and Bioelectronics.

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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