Matthias Eberl
- Immunology top 0.5%
- Immune Cell Function and Interaction 39
- T-cell and B-cell Immunology 36
- Immunotherapy and Immune Responses 23
- Immune Response and Inflammation 11
- Parasitology top 1%
- Parasites and Host Interactions 5
- Oncology top 2%
- Health Informatics top 5%
- Biochemistry top 5%
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- Plant biochemistry and biosynthesis 12
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- Pharmacological Effects of Natural Compounds 6
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- Dialysis and Renal Disease Management 5
- Co-authors
- Hassan JomaaBernhard MoserMartin HintzJochen WiesnerEwald BeckBoran AltincicekAnn‐Kristin KollasSilke Sanderbrand
- Cited by
- ImmunologyParasitologyOncology
- Journals
- Frontiers in Immunology (7 papers)The Journal of Immunology (6 papers)FEBS Letters (5 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Matthias Eberl
89 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Immunology 3.0k
- Parasitology 365
- Oncology 1.1k
- Health Informatics 44
- Biochemistry 173
Countries citing papers authored by Matthias Eberl
This map shows the geographic impact of Matthias Eberl'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 Matthias Eberl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Eberl more than expected).
Fields of papers citing papers by Matthias Eberl
This network shows the impact of papers produced by Matthias Eberl. 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 Matthias Eberl. The network helps show where Matthias Eberl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Eberl, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 4 | |
| 7 | 2020 | 22 | |
| 8 | 2019 | 52 | |
| 9 | 2019 | 3 | |
| 10 | 2017 | 53 | |
| 11 | 2016 | 15 | |
| 12 | 2015 | 112 | |
| 13 | 2015 | 30 | |
| 14 | Human gammadelta T cell responses in breast cancer patients during zoledronate therapy | 2010 | 0 |
| 15 | 2007 | 404 | |
| 16 | 2007 | 59 | |
| 17 | 2002 | 96 | |
| 18 | 2001 | 52 | |
| 19 | 2001 | 70 | |
| 20 | 2001 | 96 |
About Matthias Eberl
Matthias Eberl is a scholar working on Immunology, Parasitology, Clinical Biochemistry, Nephrology and Pharmacology, having authored 97 papers that have together received 5.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (36 papers), Immunotherapy and Immune Responses (23 papers), Plant biochemistry and biosynthesis (12 papers), Immune Response and Inflammation (11 papers), Pharmacological Effects of Natural Compounds (6 papers), Dialysis and Renal Disease Management (5 papers) and Parasites and Host Interactions (5 papers). The work is most often cited by research in Immunology (3.0k citations), Parasitology (365 citations), Oncology (1.1k citations), Health Informatics (44 citations) and Biochemistry (173 citations). Matthias Eberl has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Hassan Jomaa, Bernhard Moser, Martin Hintz, Jochen Wiesner, Ewald Beck, Boran Altincicek, Ann‐Kristin Kollas, Silke Sanderbrand, Armin Reichenberg and Dominique Soldati‐Favre. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, FEBS Letters, European Journal of Immunology and Scientific Reports.
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.