Tal Iram
Impact in
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
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- Ubiquitin and proteasome pathways 1
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- Phagocytosis and Immune Regulation 2
- Immune cells in cancer 2
- Co-authors
- Tony Wyss‐Coray (3 shared papers)Michael C. Bassik (2 shared papers)John V. Pluvinage (2 shared papers)Michael S. Haney (2 shared papers)Carolyn R. Bertozzi (2 shared papers)David W. Morgens (2 shared papers)Julia Marschallinger (1 shared paper)Macy E. Zardeneta (1 shared paper)
- Journals
- Journal of Alzheimer s Disease (2 papers)Neurobiology of Disease (1 paper)Neuron (1 paper)Journal of Neurochemistry (1 paper)Nature (1 paper)
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
Tal Iram
14 papers receiving 1.8k citations
Tal Iram's Hit Papers
Peers
Comparison fields: 5 of 91
- Neurology 823
- Biological Psychiatry 130
- Developmental Neuroscience 153
- Immunology 579
- Physiology 525
Countries citing papers authored by Tal Iram
This map shows the geographic impact of Tal Iram'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 Tal Iram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Iram more than expected).
Fields of papers citing papers by Tal Iram
This network shows the impact of papers produced by Tal Iram. 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 Tal Iram. The network helps show where Tal Iram may publish in the future.
Co-authors
The 25 scholars most cited alongside Tal Iram, 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 | Lipid-droplet-accumulating microglia represent a dysfunctional and proinflammatory state in the aging brain Hit paper breakdown → | 2020 | 855 |
| 2 | CD22 blockade restores homeostatic microglial phagocytosis in ageing brains Hit paper breakdown → | 2019 | 337 |
| 3 | 2013 | 183 | |
| 4 | 2016 | 137 | |
| 5 | 2016 | 109 | |
| 6 | 2016 | 96 | |
| 7 | 2013 | 49 | |
| 8 | 2014 | 26 | |
| 9 | 2020 | 14 | |
| 10 | 2016 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2012 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2024 | 4 |
About Tal Iram
Tal Iram is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Physiology and Neurology, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Phagocytosis and Immune Regulation (2 papers), Immune cells in cancer (2 papers), Cell Image Analysis Techniques (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Neurology (823 citations), Biological Psychiatry (130 citations), Developmental Neuroscience (153 citations), Immunology (579 citations) and Physiology (525 citations). Tal Iram has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Tony Wyss‐Coray, Michael C. Bassik, John V. Pluvinage, Michael S. Haney, Carolyn R. Bertozzi, David W. Morgens, Julia Marschallinger, Macy E. Zardeneta, Vidhu Mathur and Oliver Hãhn. Their work appears in journals such as Journal of Alzheimer s Disease, Neurobiology of Disease, Neuron, Journal of Neurochemistry and Nature.
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.