Julia Tevini
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
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- Epigenetics and DNA Methylation 2
-
- Diet and metabolism studies 3
- Asthma and respiratory diseases 2
- Co-authors
- Thomas K. Felder (14 shared papers)Ludwig Aigner (3 shared papers)Benoit Lehallier (1 shared paper)Song Eun Lee (1 shared paper)Michael C. Bassik (1 shared paper)Macy E. Zardeneta (1 shared paper)John V. Pluvinage (1 shared paper)David W. Morgens (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)Pharmaceutics (1 paper)Journal of Internal Medicine (1 paper)JCI Insight (1 paper)The Journal of Nutritional Biochemistry (1 paper)
- Partner nations
- AustriaSwedenSwitzerland
In The Last Decade
Julia Tevini
16 papers receiving 1.0k citations
Julia Tevini's Hit Papers
Peers
Comparison fields: 5 of 90
- Neurology 433
- Biological Psychiatry 69
- Biochemistry 161
- Developmental Neuroscience 64
- Immunology 223
Countries citing papers authored by Julia Tevini
This map shows the geographic impact of Julia Tevini'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 Julia Tevini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Tevini more than expected).
Fields of papers citing papers by Julia Tevini
This network shows the impact of papers produced by Julia Tevini. 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 Julia Tevini. The network helps show where Julia Tevini may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Tevini, 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 | 851 |
| 2 | 2020 | 67 | |
| 3 | 2019 | 19 | |
| 4 | 2018 | 18 | |
| 5 | 2022 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 11 | |
| 8 | 2019 | 10 | |
| 9 | 2025 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About Julia Tevini
Julia Tevini is a scholar working on Molecular Biology, Physiology, Biochemistry, Immunology and Epidemiology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diet and metabolism studies (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Lipid metabolism and biosynthesis (2 papers), Epigenetics and DNA Methylation (2 papers), Asthma and respiratory diseases (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Allergic Rhinitis and Sensitization (1 paper) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Neurology (433 citations), Biological Psychiatry (69 citations), Biochemistry (161 citations), Developmental Neuroscience (64 citations) and Immunology (223 citations). Julia Tevini has collaborated with scholars based in Austria, Sweden and Switzerland. Frequent co-authors include Thomas K. Felder, Ludwig Aigner, Benoit Lehallier, Song Eun Lee, Michael C. Bassik, Macy E. Zardeneta, John V. Pluvinage, David W. Morgens, Heimo Wolinski and Michael S. Haney. Their work appears in journals such as International Journal of Molecular Sciences, Pharmaceutics, Journal of Internal Medicine, JCI Insight and The Journal of Nutritional Biochemistry.
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.