T. Brian
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- Epigenetics and DNA Methylation
Papers in
-
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- DNA Repair Mechanisms 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Howard Y. Chang (4 shared papers)Paul A. Khavari (4 shared papers)Ryan A. Flynn (3 shared papers)Matthew G. Vander Heiden (4 shared papers)Brian Zarnegar (2 shared papers)Caroline A. Lewis (2 shared papers)Ying Shen (1 shared paper)Adi Naamati (1 shared paper)
- Journals
- Nature Structural & Molecular Biology (2 papers)Nature Methods (1 paper)Nature Cell Biology (1 paper)Molecular Cell (1 paper)Genes & Development (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
T. Brian
8 papers receiving 929 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 317
- Molecular Biology 726
- Physiology 20
- Geriatrics and Gerontology 17
- Clinical Biochemistry 24
Countries citing papers authored by T. Brian
This map shows the geographic impact of T. Brian'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 T. Brian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Brian more than expected).
Fields of papers citing papers by T. Brian
This network shows the impact of papers produced by T. Brian. 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 T. Brian. The network helps show where T. Brian may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Brian, 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 | Increased demand for NAD+ relative to ATP drives aerobic glycolysis Hit paper breakdown → | 2020 | 351 |
| 2 | 2016 | 190 | |
| 3 | 2022 | 91 | |
| 4 | 2016 | 86 | |
| 5 | 2021 | 79 | |
| 6 | 2014 | 78 | |
| 7 | 2014 | 61 | |
| 8 | 2025 | 1 |
About T. Brian
T. Brian is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Hematology, having authored 8 papers that have together received 937 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), DNA Repair Mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), Ferroptosis and cancer prognosis (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Cancer Research (317 citations), Molecular Biology (726 citations), Physiology (20 citations), Geriatrics and Gerontology (17 citations) and Clinical Biochemistry (24 citations). T. Brian has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Howard Y. Chang, Paul A. Khavari, Ryan A. Flynn, Matthew G. Vander Heiden, Brian Zarnegar, Caroline A. Lewis, Ying Shen, Adi Naamati, Zhaoqi Li and Lucas B. Sullivan. Their work appears in journals such as Nature Structural & Molecular Biology, Nature Methods, Nature Cell Biology, Molecular Cell and Genes & Development.
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.