Maja Klapper
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Biochemistry top 5%
- Biochemical Acid Research Studies
- Lipid metabolism and biosynthesis
Papers in
-
- Peroxisome Proliferator-Activated Receptors 17
- Metabolism, Diabetes, and Cancer 3
- RNA Research and Splicing 3
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- Adipose Tissue and Metabolism 5
- Co-authors
- Frank Döring (28 shared papers)David A. Groneberg (2 shared papers)Inke Nitz (10 shared papers)Gian Paolo Littarru (1 shared paper)Jürgen Vormann (1 shared paper)Jürgen Schrezenmeir (7 shared papers)Christina Vock (4 shared papers)Heiner Boeing (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Genes & Nutrition (2 papers)IUBMB Life (2 papers)Hormone and Metabolic Research (2 papers)Human Mutation (2 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Maja Klapper
28 papers receiving 692 citations
Peers
Comparison fields: 5 of 87
- Aging 82
- Biochemistry 114
- Molecular Biology 428
- Cancer Research 64
- Endocrine and Autonomic Systems 27
Countries citing papers authored by Maja Klapper
This map shows the geographic impact of Maja Klapper'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 Klapper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Klapper more than expected).
Fields of papers citing papers by Maja Klapper
This network shows the impact of papers produced by Maja Klapper. 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 Klapper. The network helps show where Maja Klapper may publish in the future.
Co-authors
The 25 scholars most cited alongside Maja Klapper, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 165 | |
| 2 | 2011 | 75 | |
| 3 | 2007 | 50 | |
| 4 | 2014 | 46 | |
| 5 | 1998 | 37 | |
| 6 | 2012 | 34 | |
| 7 | 2009 | 34 | |
| 8 | 2006 | 24 | |
| 9 | 2007 | 24 | |
| 10 | 2006 | 22 | |
| 11 | 2007 | 21 | |
| 12 | 2007 | 20 | |
| 13 | 2010 | 19 | |
| 14 | 2007 | 17 | |
| 15 | 2009 | 15 | |
| 16 | 2010 | 13 | |
| 17 | 2008 | 12 | |
| 18 | 2005 | 9 | |
| 19 | 2005 | 9 | |
| 20 | 2007 | 9 |
About Maja Klapper
Maja Klapper is a scholar working on Molecular Biology, Physiology, Biochemistry, Cardiology and Cardiovascular Medicine and Oncology, having authored 29 papers that have together received 702 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (17 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Adipose Tissue and Metabolism (5 papers), Lipid metabolism and disorders (5 papers), Amino Acid Enzymes and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Aging (82 citations), Biochemistry (114 citations), Molecular Biology (428 citations), Cancer Research (64 citations) and Endocrine and Autonomic Systems (27 citations). Maja Klapper has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Frank Döring, David A. Groneberg, Inke Nitz, Gian Paolo Littarru, Jürgen Vormann, Jürgen Schrezenmeir, Christina Vock, Heiner Boeing, Stephan Theis and Hannelore Daniel. Their work appears in journals such as Biochemical and Biophysical Research Communications, Genes & Nutrition, IUBMB Life, Hormone and Metabolic Research and Human Mutation.
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.