John d’Aigle
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Barrier Structure and Function Studies
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 3
-
- Mast cells and histamine 1
- Immunodeficiency and Autoimmune Disorders 1
- Co-authors
- Louise D. McCullough (6 shared papers)Pedram Peesh (4 shared papers)Bhanu Priya Ganesh (4 shared papers)Liang Zhu (3 shared papers)Juneyoung Lee (3 shared papers)Robert M. Bryan (3 shared papers)David J. Durgan (2 shared papers)Nagireddy Putluri (1 shared paper)
- Journals
- Journal of Neuroinflammation (2 papers)Brain Behavior and Immunity (2 papers)GeroScience (1 paper)American Journal Of Pathology (1 paper)Behavioral Neuroscience (1 paper)
- Partner nations
- United States
In The Last Decade
John d’Aigle
11 papers receiving 715 citations
John d’Aigle's Hit Papers
Peers
Comparison fields: 5 of 91
- Biological Psychiatry 86
- Neurology 266
- Molecular Biology 383
- Physiology 134
- Gastroenterology 25
Countries citing papers authored by John d’Aigle
This map shows the geographic impact of John d’Aigle'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 John d’Aigle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John d’Aigle more than expected).
Fields of papers citing papers by John d’Aigle
This network shows the impact of papers produced by John d’Aigle. 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 John d’Aigle. The network helps show where John d’Aigle may publish in the future.
Co-authors
The 25 scholars most cited alongside John d’Aigle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Gut Microbiota–Derived Short-Chain Fatty Acids Promote Poststroke Recovery in Aged Mice Hit paper breakdown → | 2020 | 429 |
| 2 | 2020 | 77 | |
| 3 | 2020 | 71 | |
| 4 | 2020 | 53 | |
| 5 | 2019 | 32 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 14 | |
| 8 | 2020 | 10 | |
| 9 | 2017 | 9 | |
| 10 | 2017 | 8 | |
| 11 | Human Immune System Simulation: A Survey of Current Approaches | 2006 | 5 |
| 12 | Modelling and training of artificial neural networks | 1992 | 1 |
About John d’Aigle
John d’Aigle is a scholar working on Neurology, Immunology, Biological Psychiatry, Behavioral Neuroscience and Speech and Hearing, having authored 12 papers that have together received 726 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Gut microbiota and health (2 papers), Tryptophan and brain disorders (1 paper), Mast cells and histamine (1 paper), Cerebrospinal fluid and hydrocephalus (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Gene Regulatory Network Analysis (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Biological Psychiatry (86 citations), Neurology (266 citations), Molecular Biology (383 citations), Physiology (134 citations) and Gastroenterology (25 citations). John d’Aigle has collaborated with scholars based in United States. Frequent co-authors include Louise D. McCullough, Pedram Peesh, Bhanu Priya Ganesh, Liang Zhu, Juneyoung Lee, Robert M. Bryan, David J. Durgan, Nagireddy Putluri, Ahmad Fliah Hassan and Louise A. Atadja. Their work appears in journals such as Journal of Neuroinflammation, Brain Behavior and Immunity, GeroScience, American Journal Of Pathology and Behavioral Neuroscience.
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.