Anja Jaeschke
- Molecular Biology top 5%
- Melanoma and MAPK Pathways 3
- PI3K/AKT/mTOR signaling in cancer 3
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 7
- Aging top 10%
- Physiology top 5%
- Adipose Tissue and Metabolism 3
- Cancer Research top 10%
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- Adipokines, Inflammation, and Metabolic Diseases 9
- Liver Disease Diagnosis and Treatment 3
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- Lipid metabolism and biosynthesis 3
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- Atherosclerosis and Cardiovascular Diseases 3
- Co-authors
- Roger J. DavisGeorge ThomasPatrick B. DennisMasao SaitohBrian FowlerSara C. KozmaRichard A. FlavellJuan‐José Ventura
- Cited by
- Molecular BiologyCell BiologyAging
- Journals
- Journal of Biological Chemistry (7 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Anja Jaeschke
30 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.6k
- Cell Biology 351
- Aging 34
- Physiology 429
- Cancer Research 244
Countries citing papers authored by Anja Jaeschke
This map shows the geographic impact of Anja Jaeschke'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 Anja Jaeschke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Jaeschke more than expected).
Fields of papers citing papers by Anja Jaeschke
This network shows the impact of papers produced by Anja Jaeschke. 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 Anja Jaeschke. The network helps show where Anja Jaeschke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anja Jaeschke, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 11 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 12 | |
| 8 | 2018 | 20 | |
| 9 | 2016 | 28 | |
| 10 | 2015 | 20 | |
| 11 | 2012 | 92 | |
| 12 | 2012 | 78 | |
| 13 | 2011 | 69 | |
| 14 | 2007 | 112 | |
| 15 | 2006 | 134 | |
| 16 | 2005 | 109 | |
| 17 | 2005 | 74 | |
| 18 | 2004 | 33 | |
| 19 | 2003 | 402 | |
| 20 | Mammalian TOR: A Homeostatic ATP Sensorbreakdown → | 2001 | 795 |
About Anja Jaeschke
Anja Jaeschke is a scholar working on Cell Biology, Biochemistry and Immunology, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Liver Disease Diagnosis and Treatment (3 papers), Lipid metabolism and biosynthesis (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Adipose Tissue and Metabolism (3 papers), Melanoma and MAPK Pathways (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Cell Biology (351 citations) and Aging (34 citations). Anja Jaeschke has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Roger J. Davis, George Thomas, Patrick B. Dennis, Masao Saitoh, Brian Fowler, Sara C. Kozma, Richard A. Flavell, Juan‐José Ventura, David Y. Hui and Deborah Brancho. Their work appears in journals such as Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, International Journal of Molecular Sciences, Molecular Cell and Genes & Development.
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.