Maja T. Lindenmeyer
- Nephrology top 0.2%
- Renal Diseases and Glomerulopathies 36
- Chronic Kidney Disease and Diabetes 20
- Immunology top 5%
- T-cell and B-cell Immunology 8
- Transplantation top 5%
- Clinical Biochemistry top 2%
- Molecular Biology top 5%
- Renal and related cancers 13
- Plant Toxicity and Pharmacological Properties 5
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- Genetic and Kidney Cyst Diseases 7
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- Sesquiterpenes and Asteraceae Studies 6
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- Cellular Mechanics and Interactions 4
- Co-authors
- Clemens D. CohenMatthias KretzlerStephan SegererMatthias A. NeusserIrmgard MerfortMaria Pia RastaldiDetlef SchlöndorffAlfonso Garcı́a-Piñeres
- Cited by
- NephrologyImmunologyTransplantation
- Journals
- Nucleic Acids Research (1 paper)Journal of Clinical Investigation (1 paper)The Journal of Immunology (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Maja T. Lindenmeyer
96 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Nephrology 1.6k
- Immunology 812
- Transplantation 103
- Clinical Biochemistry 211
- Molecular Biology 1.6k
Countries citing papers authored by Maja T. Lindenmeyer
This map shows the geographic impact of Maja T. Lindenmeyer'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 Maja T. Lindenmeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja T. Lindenmeyer more than expected).
Fields of papers citing papers by Maja T. Lindenmeyer
This network shows the impact of papers produced by Maja T. Lindenmeyer. 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 Maja T. Lindenmeyer. The network helps show where Maja T. Lindenmeyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maja T. Lindenmeyer, 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 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 7 | |
| 8 | 2020 | 44 | |
| 9 | 2020 | 27 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 29 | |
| 12 | 2018 | 11 | |
| 13 | 2017 | 7 | |
| 14 | 2016 | 26 | |
| 15 | 2015 | 26 | |
| 16 | 2010 | 175 | |
| 17 | Autophagy influences glomerular disease susceptibility and maintains podocyte homeostasis in aging micebreakdown → | 2010 | 586 |
| 18 | 2009 | 31 | |
| 19 | 2009 | 17 | |
| 20 | 2009 | 20 |
About Maja T. Lindenmeyer
Maja T. Lindenmeyer is a scholar working on Nephrology, Transplantation and Immunology, having authored 96 papers that have together received 4.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (36 papers), Chronic Kidney Disease and Diabetes (20 papers), Renal and related cancers (13 papers), T-cell and B-cell Immunology (8 papers), Genetic and Kidney Cyst Diseases (7 papers), Sesquiterpenes and Asteraceae Studies (6 papers), Plant Toxicity and Pharmacological Properties (5 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Nephrology (1.6k citations), Immunology (812 citations) and Transplantation (103 citations). Maja T. Lindenmeyer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Clemens D. Cohen, Matthias Kretzler, Stephan Segerer, Matthias A. Neusser, Irmgard Merfort, Maria Pia Rastaldi, Detlef Schlöndorff, Alfonso Garcı́a-Piñeres, Tobias B. Huber and Felix Eichinger. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and The Journal of Immunology.
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.