Daniel Lamp
Impact in
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- Ferroptosis and cancer prognosis
- Nutrition and Dietetics top 5%
- Selenium in Biological Systems
Papers in
- Oncology 3
- CAR-T cell therapy research 2
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- T-cell and B-cell Immunology 2
- Co-authors
- Martin Jastroch (5 shared papers)Susanne Keipert (3 shared papers)Frauke Neff (2 shared papers)Maria Kutschke (2 shared papers)Alexei Kharitonenkov (1 shared paper)Rebecca Oelkrug (1 shared paper)Matthias H. Tschoep (2 shared papers)Carola W. Meyer (1 shared paper)
- Journals
- Cell Metabolism (2 papers)Clinical Cancer Research (1 paper)Diabetes (1 paper)European Journal of Neuroscience (1 paper)Journal of Immunological Methods (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Daniel Lamp
10 papers receiving 1.9k citations
Daniel Lamp's Hit Papers
Peers
Comparison fields: 5 of 94
- Pulmonary and Respiratory Medicine 823
- Nutrition and Dietetics 180
- Oncology 210
- Physiology 203
- Toxicology 33
Countries citing papers authored by Daniel Lamp
This map shows the geographic impact of Daniel Lamp'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 Daniel Lamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lamp more than expected).
Fields of papers citing papers by Daniel Lamp
This network shows the impact of papers produced by Daniel Lamp. 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 Daniel Lamp. The network helps show where Daniel Lamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lamp, 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 | Selenium Utilization by GPX4 Is Required to Prevent Hydroperoxide-Induced Ferroptosis Hit paper breakdown → | 2017 | 1419 |
| 2 | 2021 | 155 | |
| 3 | 2017 | 110 | |
| 4 | 2017 | 81 | |
| 5 | 2015 | 79 | |
| 6 | 2019 | 38 | |
| 7 | 2017 | 33 | |
| 8 | 2018 | 28 | |
| 9 | 2018 | 16 | |
| 10 | 2020 | 12 |
About Daniel Lamp
Daniel Lamp is a scholar working on Oncology, Immunology, Biochemistry, Physiology and Nutrition and Dietetics, having authored 10 papers that have together received 2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (2 papers), T-cell and B-cell Immunology (2 papers), CAR-T cell therapy research (2 papers), Amino Acid Enzymes and Metabolism (1 paper), Fibroblast Growth Factor Research (1 paper), Selenium in Biological Systems (1 paper), Pancreatic function and diabetes (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (823 citations), Nutrition and Dietetics (180 citations), Oncology (210 citations), Physiology (203 citations) and Toxicology (33 citations). Daniel Lamp has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Martin Jastroch, Susanne Keipert, Frauke Neff, Maria Kutschke, Alexei Kharitonenkov, Rebecca Oelkrug, Matthias H. Tschoep, Carola W. Meyer, Sithandiwe E. Mazibuko and Thomas Schwarzmayr. Their work appears in journals such as Cell Metabolism, Clinical Cancer Research, Diabetes, European Journal of Neuroscience and Journal of Immunological Methods.
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.