Julia Tevini
Impact in
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Drug Solubulity and Delivery Systems 1
- Advanced Drug Delivery Systems 1
- Co-authors
- Thomas Klaus Felder (14 shared papers)Ludwig Aigner (3 shared papers)Tal Iram (1 shared paper)Tony Wyss‐Coray (1 shared paper)Michael Cory Bassik (1 shared paper)John V. Pluvinage (1 shared paper)Macy E. Zardeneta (1 shared paper)Carolyn Ruth Bertozzi (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)JCI Insight (1 paper)Analytical Methods (1 paper)Pharmaceutics (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- AustriaUnited KingdomSweden
In The Last Decade
Julia Tevini
18 papers receiving 1.2k citations
Julia Tevini's Hit Papers
Peers
Comparison fields: 5 of 64
- Neurology 387
- Biochemistry 65
- Aging 20
- Physiology 135
- Developmental Neuroscience 11
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 | 1009 |
| 2 | 2020 | 74 | |
| 3 | 2019 | 20 | |
| 4 | 2020 | 20 | |
| 5 | 2018 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2019 | 17 | |
| 8 | 2019 | 13 | |
| 9 | 2025 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2025 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 |
About Julia Tevini
Julia Tevini is a scholar working on Biochemistry, Pharmaceutical Science, Neurology, Urology and Hepatology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Analytical Methods in Pharmaceuticals (1 paper), Drug Solubulity and Delivery Systems (1 paper), Advanced Drug Delivery Systems (1 paper), Urinary Bladder and Prostate Research (1 paper) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Neurology (387 citations), Biochemistry (65 citations), Aging (20 citations), Physiology (135 citations) and Developmental Neuroscience (11 citations). Julia Tevini has collaborated with scholars based in Austria, United Kingdom and Sweden. Frequent co-authors include Thomas Klaus Felder, Ludwig Aigner, Tal Iram, Tony Wyss‐Coray, Michael Cory Bassik, John V. Pluvinage, Macy E. Zardeneta, Carolyn Ruth Bertozzi, Song Eun Lee and David W. Morgens. Their work appears in journals such as International Journal of Molecular Sciences, JCI Insight, Analytical Methods, Pharmaceutics and Journal of Clinical Medicine.
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.