L Csáki
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Lipid metabolism and biosynthesis 6
-
- Peroxisome Proliferator-Activated Receptors 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Karen Reue (7 shared papers)Jennifer R. Dwyer (4 shared papers)Loren G. Fong (4 shared papers)Stephen G. Young (4 shared papers)Peixiang Zhang (3 shared papers)Peter Tontonoz (2 shared papers)Kazuharu Takeuchi (1 shared paper)M. Papp (1 shared paper)
- Journals
- Annual Review of Nutrition (1 paper)Journal of Biological Chemistry (1 paper)Nature (1 paper)Molecular Metabolism (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesHungaryCanada
In The Last Decade
L Csáki
14 papers receiving 530 citations
Peers
Comparison fields: 5 of 72
- Biochemistry 226
- Cell Biology 120
- Physiology 108
- Molecular Biology 260
- Behavioral Neuroscience 11
Countries citing papers authored by L Csáki
This map shows the geographic impact of L Csáki'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 L Csáki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Csáki more than expected).
Fields of papers citing papers by L Csáki
This network shows the impact of papers produced by L Csáki. 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 L Csáki. The network helps show where L Csáki may publish in the future.
Co-authors
The 25 scholars most cited alongside L Csáki, 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 | 2010 | 129 | |
| 2 | 2013 | 108 | |
| 3 | 2012 | 73 | |
| 4 | 2011 | 64 | |
| 5 | 2013 | 50 | |
| 6 | 1966 | 49 | |
| 7 | 2018 | 29 | |
| 8 | Ulcerative dermatitis in C57BL/6 mice exhibits an oxidative stress response consistent with normal wound healing. | 2012 | 16 |
| 9 | 1969 | 7 | |
| 10 | 1969 | 6 | |
| 11 | 1967 | 5 | |
| 12 | 1961 | 5 | |
| 13 | The effect of TSH on thyroid blood flow in the dog. | 1971 | 2 |
| 14 | 2008 | 1 | |
| 15 | Radiozinc uptake by the acutely damaged pancreas of rats. | 1967 | 1 |
About L Csáki
L Csáki is a scholar working on Biochemistry, Molecular Biology, Surgery, Cell Biology and Behavioral Neuroscience, having authored 15 papers that have together received 545 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Adipose Tissue and Metabolism (2 papers), Pancreatic function and diabetes (2 papers), Stress Responses and Cortisol (2 papers), Ubiquitin and proteasome pathways (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Biochemistry (226 citations), Cell Biology (120 citations), Physiology (108 citations), Molecular Biology (260 citations) and Behavioral Neuroscience (11 citations). L Csáki has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Karen Reue, Jennifer R. Dwyer, Loren G. Fong, Stephen G. Young, Peixiang Zhang, Peter Tontonoz, Kazuharu Takeuchi, M. Papp, Gábor B. Makara and David N. Brindley. Their work appears in journals such as Annual Review of Nutrition, Journal of Biological Chemistry, Nature, Molecular Metabolism and Journal of Clinical Investigation.
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.