Daniel Braas
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 14
- Immunology top 2%
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 6
- Genomics and Chromatin Dynamics 5
- Metabolism, Diabetes, and Cancer 4
- RNA Research and Splicing 4
- Metabolomics and Mass Spectrometry Studies 3
- Aging top 5%
- Oncology top 5%
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- Pancreatic function and diabetes 4
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- Virus-based gene therapy research 3
- Co-authors
- Thomas G. GraeberHeather R. ChristofkAbigail S. KrallShili XuGerritje J. W. van der WindtQiongyu ChenJing QiuStanley Ching‐Cheng Huang
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel Braas
46 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 1.4k
- Immunology 1.3k
- Molecular Biology 3.2k
- Aging 54
- Oncology 743
Countries citing papers authored by Daniel Braas
This map shows the geographic impact of Daniel Braas'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 Braas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Braas more than expected).
Fields of papers citing papers by Daniel Braas
This network shows the impact of papers produced by Daniel Braas. 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 Braas. The network helps show where Daniel Braas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Braas, 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 | 2021 | 16 | |
| 2 | 2020 | 41 | |
| 3 | 2019 | 44 | |
| 4 | 2019 | 20 | |
| 5 | 2018 | 91 | |
| 6 | 2018 | 51 | |
| 7 | 2018 | 27 | |
| 8 | 2018 | 194 | |
| 9 | Multi-stage Differentiation Defines Melanoma Subtypes with Differential Vulnerability to Drug-Induced Iron-Dependent Oxidative Stressbreakdown → | 2018 | 583 |
| 10 | 2017 | 169 | |
| 11 | 2017 | 209 | |
| 12 | Mitochondrial Dynamics Controls T Cell Fate through Metabolic Programmingbreakdown → | 2016 | 1041 |
| 13 | 2016 | 91 | |
| 14 | 2013 | 9 | |
| 15 | 2013 | 126 | |
| 16 | 2012 | 27 | |
| 17 | 2009 | 449 | |
| 18 | 2007 | 8 | |
| 19 | 2004 | 6 | |
| 20 | 2003 | 4 |
About Daniel Braas
Daniel Braas is a scholar working on Cancer Research, Molecular Biology and Gastroenterology, having authored 46 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (14 papers), Mitochondrial Function and Pathology (6 papers), Genomics and Chromatin Dynamics (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (4 papers), RNA Research and Splicing (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Cancer Research (1.4k citations), Immunology (1.3k citations) and Molecular Biology (3.2k citations). Daniel Braas has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Thomas G. Graeber, Heather R. Christofk, Abigail S. Krall, Shili Xu, Gerritje J. W. van der Windt, Qiongyu Chen, Jing Qiu, Stanley Ching‐Cheng Huang, David E. Sanin and Michael D. Buck. Their work appears in journals such as Cell, Cell Metabolism, Nature Communications, Molecular Cancer Research and Journal of Nuclear Medicine.
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.