Daniel Braas

10.0k total citations · 3 hit papers
46 papers, 5.1k citations indexed

About

Daniel Braas is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Daniel Braas has authored 46 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 16 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Daniel Braas's work include Cancer, Hypoxia, and Metabolism (14 papers), Mitochondrial Function and Pathology (6 papers) and Genomics and Chromatin Dynamics (5 papers). Daniel Braas is often cited by papers focused on Cancer, Hypoxia, and Metabolism (14 papers), Mitochondrial Function and Pathology (6 papers) and Genomics and Chromatin Dynamics (5 papers). Daniel Braas collaborates with scholars based in United States, Germany and Thailand. Daniel Braas's co-authors include Thomas G. Graeber, Heather R. Christofk, Abigail S. Krall, Shili Xu, Edward J. Pearce, Jing Qiu, Chih‐Hao Chang, Christina M. O’Neill, Oliver Kretz and Hiromi Sesaki and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniel Braas

46 papers receiving 5.1k citations

Hit Papers

Mitochondrial Dynamics Controls T Cell Fate through Metab... 2016 2026 2019 2022 2016 2018 2016 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Braas United States 27 3.2k 1.4k 1.3k 743 484 46 5.1k
Luis del Peso Spain 33 4.1k 1.3× 1.8k 1.3× 1.5k 1.1× 956 1.3× 305 0.6× 62 6.1k
Minna U. Kaikkonen Finland 33 4.0k 1.2× 1.5k 1.1× 1.0k 0.8× 388 0.5× 369 0.8× 107 5.5k
Bo R. Rueda United States 47 2.7k 0.8× 1.2k 0.8× 1.3k 1.0× 1.7k 2.3× 316 0.7× 155 6.5k
Arjun Bhutkar United States 32 3.6k 1.1× 1.2k 0.8× 917 0.7× 1.5k 2.0× 507 1.0× 55 5.6k
Metsada Pasmanik‐Chor Israel 39 2.3k 0.7× 773 0.6× 895 0.7× 703 0.9× 273 0.6× 129 4.5k
Philipp Mertins Germany 35 5.0k 1.6× 1.1k 0.8× 828 0.6× 860 1.2× 251 0.5× 104 6.6k
Claudio Sette Italy 54 6.5k 2.0× 1.3k 0.9× 1.1k 0.9× 858 1.2× 436 0.9× 179 8.9k
Thorsten Stiewe Germany 43 4.0k 1.3× 1.1k 0.8× 970 0.8× 2.4k 3.3× 419 0.9× 155 6.0k
Salvatore Oliviero Italy 45 5.3k 1.7× 1.2k 0.9× 670 0.5× 1.2k 1.7× 293 0.6× 123 7.0k
Xiaohong Mao China 22 4.8k 1.5× 751 0.5× 1.3k 1.0× 1.1k 1.5× 227 0.5× 40 6.5k

Countries citing papers authored by Daniel Braas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daniel Braas

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Braas. A scholar is included among the top collaborators of Daniel Braas 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 Daniel Braas. Daniel Braas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Thomas, Tom, Ken Miyaguchi, Lincoln Edwards, et al.. (2021). Elevated Asparagine Biosynthesis Drives Brain Tumor Stem Cell Metabolic Plasticity and Resistance to Oxidative Stress. Molecular Cancer Research. 19(8). 1375–1388. 16 indexed citations
2.
Smith, Alan M., Marvin R. Natowicz, Daniel Braas, et al.. (2020). A Metabolomics Approach to Screening for Autism Risk in the Children's Autism Metabolome Project. Autism Research. 13(8). 1270–1285. 41 indexed citations
3.
Sperry, Jantzen, Michael Condro, Lea Guo, et al.. (2020). Glioblastoma Utilizes Fatty Acids and Ketone Bodies for Growth Allowing Progression during Ketogenic Diet Therapy. iScience. 23(9). 101453–101453. 63 indexed citations
4.
Xu, Shili, Tianyuan Zhou, K. Ryan Trinh, et al.. (2019). An HK2 Antisense Oligonucleotide Induces Synthetic Lethality in HK1−HK2+ Multiple Myeloma. Cancer Research. 79(10). 2748–2760. 44 indexed citations
5.
Palaskas, Nicolaos, Roksana Shirazi, Daniel Sanghoon Shin, et al.. (2019). Global alteration of T-lymphocyte metabolism by PD-L1 checkpoint involves a block of de novo nucleoside phosphate synthesis. Cell Discovery. 5(1). 62–62. 20 indexed citations
6.
Xiao, Gang, Lai N. Chan, Lars Klemm, et al.. (2018). B-Cell-Specific Diversion of Glucose Carbon Utilization Reveals a Unique Vulnerability in B Cell Malignancies. Cell. 173(2). 470–484.e18. 91 indexed citations
7.
Clarke, Alexander J., Thomas Riffelmacher, Daniel Braas, Richard J. Cornall, & Anna Katharina Simon. (2018). B1a B cells require autophagy for metabolic homeostasis and self-renewal. The Journal of Experimental Medicine. 215(2). 399–413. 108 indexed citations
8.
Tsoi, Jennifer, Lídia Robert, Kim H.T. Paraiso, et al.. (2018). Multi-stage Differentiation Defines Melanoma Subtypes with Differential Vulnerability to Drug-Induced Iron-Dependent Oxidative Stress. Cancer Cell. 33(5). 890–904.e5. 583 indexed citations breakdown →
9.
Garrett, Matthew C., Jantzen Sperry, Daniel Braas, et al.. (2018). Metabolic characterization of isocitrate dehydrogenase (IDH) mutant and IDH wildtype gliomaspheres uncovers cell type-specific vulnerabilities. SHILAP Revista de lepidopterología. 6(1). 4–4. 51 indexed citations
10.
Xu, Shili, Nicholas Bayley, Jason T. Lee, et al.. (2018). Hexokinase 2 Is Targetable for HK1-Negative, HK2-Positive Tumors from a Wide Variety of Tissues of Origin. Journal of Nuclear Medicine. 60(2). 212–217. 18 indexed citations
11.
Jacobs, Jonathan P., Daniel Braas, Arpana Gupta, et al.. (2018). 1059 - Glutamate and Hedonic Eating: Role of the Brain-Gut-Microbiome Axis on Changes on Hedonic Eating after Bariatric Surgery. Gastroenterology. 154(6). S–201. 2 indexed citations
12.
Xu, Shili, Daniel Braas, Linsey Stiles, et al.. (2017). Abstract B37: Targeting the energy generation triangle to achieve synthetic lethality for treatment of hepatocellular carcinoma. Molecular Cancer Therapeutics. 16(10_Supplement). B37–B37. 1 indexed citations
13.
Gu, Yuchao, Claudio P. Albuquerque, Daniel Braas, et al.. (2017). mTORC2 Regulates Amino Acid Metabolism in Cancer by Phosphorylation of the Cystine-Glutamate Antiporter xCT. Molecular Cell. 67(1). 128–138.e7. 169 indexed citations
14.
Buck, Michael D., David O’Sullivan, Ramon I. Klein Geltink, et al.. (2016). Mitochondrial Dynamics Controls T Cell Fate through Metabolic Programming. Cell. 166(1). 63–76. 1041 indexed citations breakdown →
15.
Wu, Ting‐Hsiang, Dana Case, Xin Zheng, et al.. (2016). Mitochondrial Transfer by Photothermal Nanoblade Restores Metabolite Profile in Mammalian Cells. Cell Metabolism. 23(5). 921–929. 91 indexed citations
16.
Hirt, Daniel, et al.. (2016). Role of Metabolomics in Traumatic Brain Injury Research. Neurosurgery Clinics of North America. 27(4). 465–472. 14 indexed citations
17.
Wang, Jun, Kiwook Hwang, Daniel Braas, et al.. (2013). Fast Metabolic Response to Drug Intervention Through Analysis on a Miniaturized, Highly Integrated Molecular Imaging System. Journal of Nuclear Medicine. 54(10). 1820–1824. 9 indexed citations
18.
Ahler, Ethan, William J. Sullivan, Ashley Cass, et al.. (2013). Doxycycline Alters Metabolism and Proliferation of Human Cell Lines. PLoS ONE. 8(5). e64561–e64561. 126 indexed citations
19.
Braas, Daniel, Ethan Ahler, David A. Nathanson, et al.. (2012). Metabolomics Strategy Reveals Subpopulation of Liposarcomas Sensitive to Gemcitabine Treatment. Cancer Discovery. 2(12). 1109–1117. 27 indexed citations
20.
Braas, Daniel. (2004). The glioma-amplified sequence 41 gene (GAS41) is a direct Myb target gene. Nucleic Acids Research. 32(16). 4750–4757. 6 indexed citations

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.

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