Bettina Proneth
- Pulmonary and Respiratory Medicine top 1%
- Molecular Biology top 5%
- Cancer Research top 1%
- Nutrition and Dietetics top 2%
- Oncology top 10%
- Co-authors
- Marcus ConradTobias SeibtEikan MishimaSvenja LorenzCarrie Haskell‐LuevanoZhimin XiangMami SatoHideyo Sato
- Topics
- Ferroptosis and cancer prognosis (12 papers)Cancer, Lipids, and Metabolism (8 papers)Regulation of Appetite and Obesity (6 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Bettina Proneth
26 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Pulmonary and Respiratory Medicine 1.6k
- Molecular Biology 1.6k
- Cancer Research 1.2k
- Nutrition and Dietetics 395
- Oncology 237
Countries citing papers authored by Bettina Proneth
This map shows the geographic impact of Bettina Proneth'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 Bettina Proneth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bettina Proneth more than expected).
Fields of papers citing papers by Bettina Proneth
This network shows the impact of papers produced by Bettina Proneth. 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 Bettina Proneth. The network helps show where Bettina Proneth may publish in the future.
Co-authorship network of co-authors of Bettina Proneth
This figure shows the co-authorship network connecting the top 25 collaborators of Bettina Proneth. A scholar is included among the top collaborators of Bettina Proneth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bettina Proneth. Bettina Proneth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Recommendations for robust and reproducible research on ferroptosisbreakdown → | 21 |
| 2 | 4 | |
| 3 | Phase separation of FSP1 promotes ferroptosisbreakdown → | 228 |
| 4 | 46 | |
| 5 | 35 | |
| 6 | 57 | |
| 7 | 36 | |
| 8 | 144 | |
| 9 | 110 | |
| 10 | 108 | |
| 11 | 287 | |
| 12 | Role of GPX4 in ferroptosis and its pharmacological implicationbreakdown → | 1143 |
| 13 | 1 | |
| 14 | 12 | |
| 15 | 50 | |
| 16 | 57 | |
| 17 | 3 | |
| 18 | 41 | |
| 19 | 44 | |
| 20 | Overview of endogenous and synthetic melanocortin peptides. | 6 |
About Bettina Proneth
Bettina Proneth is a scholar working on Endocrine and Autonomic Systems, Cancer Research and Nutrition and Dietetics, having authored 26 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (12 papers), Cancer, Lipids, and Metabolism (8 papers) and Regulation of Appetite and Obesity (6 papers). The work is most often cited by research in Cancer Research (1.2k citations), Pulmonary and Respiratory Medicine (1.6k citations) and Endocrine and Autonomic Systems (228 citations). Bettina Proneth has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Marcus Conrad, Tobias Seibt, Eikan Mishima, Svenja Lorenz, Carrie Haskell‐Luevano, Zhimin Xiang, Mami Sato, Hideyo Sato, Sally A. Litherland and Jiashuo Zheng. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.