Janine Kutzsche
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
- Physiology 37
- Alzheimer's disease research and treatments 34
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- Protein Structure and Dynamics 4
- Prion Diseases and Protein Misfolding 4
- Co-authors
- Dieter Willbold (44 shared papers)Antje Willuweit (25 shared papers)Tamar Ziehm (12 shared papers)Lothar Gremer (9 shared papers)Karl‐Josef Langen (15 shared papers)Markus Tusche (12 shared papers)N. Jon Shah (13 shared papers)Oleksandr Brener (8 shared papers)
- Journals
- Alzheimer s & Dementia (6 papers)European Journal of Pharmaceutical Sciences (5 papers)International Journal of Molecular Sciences (3 papers)Molecules (3 papers)ACS Chemical Neuroscience (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Janine Kutzsche
45 papers receiving 668 citations
Peers
Comparison fields: 5 of 70
- Physiology 419
- Biological Psychiatry 23
- Computational Theory and Mathematics 137
- Neurology 62
- Pharmacology 123
Countries citing papers authored by Janine Kutzsche
This map shows the geographic impact of Janine Kutzsche'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 Janine Kutzsche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janine Kutzsche more than expected).
Fields of papers citing papers by Janine Kutzsche
This network shows the impact of papers produced by Janine Kutzsche. 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 Janine Kutzsche. The network helps show where Janine Kutzsche may publish in the future.
Co-authors
The 25 scholars most cited alongside Janine Kutzsche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 59 | |
| 2 | 2017 | 47 | |
| 3 | 2010 | 45 | |
| 4 | 2020 | 42 | |
| 5 | 2015 | 39 | |
| 6 | 2015 | 37 | |
| 7 | 2018 | 31 | |
| 8 | 2017 | 29 | |
| 9 | 2016 | 26 | |
| 10 | 2016 | 23 | |
| 11 | 2019 | 23 | |
| 12 | 2022 | 23 | |
| 13 | 2017 | 23 | |
| 14 | 2017 | 20 | |
| 15 | 2016 | 19 | |
| 16 | 2019 | 18 | |
| 17 | 2019 | 14 | |
| 18 | 2016 | 13 | |
| 19 | 2018 | 12 | |
| 20 | 2018 | 12 |
About Janine Kutzsche
Janine Kutzsche is a scholar working on Physiology, Molecular Biology, Computational Theory and Mathematics, Pharmacology and Oncology, having authored 46 papers that have together received 671 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (34 papers), Computational Drug Discovery Methods (14 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Drug Transport and Resistance Mechanisms (9 papers), Amino Acid Enzymes and Metabolism (8 papers), Protein Structure and Dynamics (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Prion Diseases and Protein Misfolding (4 papers). The work is most often cited by research in Physiology (419 citations), Biological Psychiatry (23 citations), Computational Theory and Mathematics (137 citations), Neurology (62 citations) and Pharmacology (123 citations). Janine Kutzsche has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Dieter Willbold, Antje Willuweit, Tamar Ziehm, Lothar Gremer, Karl‐Josef Langen, Markus Tusche, N. Jon Shah, Oleksandr Brener, Dagmar Jürgens and Luitgard Nagel‐Steger. Their work appears in journals such as Alzheimer s & Dementia, European Journal of Pharmaceutical Sciences, International Journal of Molecular Sciences, Molecules and ACS Chemical Neuroscience.
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.