Nathan Majewski
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Mitochondrial Function and Pathology
- Metabolism, Diabetes, and Cancer
- PI3K/AKT/mTOR signaling in cancer
- Cell death mechanisms and regulation
- ATP Synthase and ATPases Research
Papers in
-
- Cell death mechanisms and regulation 4
- PI3K/AKT/mTOR signaling in cancer 2
- Natural product bioactivities and synthesis 2
- Plant biochemistry and biosynthesis 1
- Surgery 2
- Pancreatic function and diabetes 2
- Co-authors
- Nissim Hay (5 shared papers)R. Brooks Robey (3 shared papers)Kathrin Gottlob (2 shared papers)Eugene Kandel (2 shared papers)Scott Kennedy (1 shared paper)Véronique Nogueira (2 shared papers)Navdeep S. Chandel (1 shared paper)Prashanth T. Bhaskar (1 shared paper)
- Journals
- Molecular and Cellular Biology (2 papers)Chinese Chemical Letters (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Blood (1 paper)Genes & Development (1 paper)
- Partner nations
- United States
In The Last Decade
Nathan Majewski
7 papers receiving 1.9k citations
Nathan Majewski's Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 653
- Molecular Biology 1.5k
- Clinical Biochemistry 69
- Oncology 233
- Cell Biology 143
Countries citing papers authored by Nathan Majewski
This map shows the geographic impact of Nathan Majewski'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 Nathan Majewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Majewski more than expected).
Fields of papers citing papers by Nathan Majewski
This network shows the impact of papers produced by Nathan Majewski. 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 Nathan Majewski. The network helps show where Nathan Majewski may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Majewski, 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 | Inhibition of early apoptotic events by Akt/PKB is dependent on the first committed step of glycolysis and mitochondrial hexokinase Hit paper breakdown → | 2001 | 815 |
| 2 | Hexokinase-Mitochondria Interaction Mediated by Akt Is Required to Inhibit Apoptosis in the Presence or Absence of Bax and Bak Hit paper breakdown → | 2004 | 545 |
| 3 | 2003 | 248 | |
| 4 | 2002 | 242 | |
| 5 | 2003 | 76 | |
| 6 | 2009 | 28 | |
| 7 | 2009 | 12 |
About Nathan Majewski
Nathan Majewski is a scholar working on Molecular Biology, Surgery, Epidemiology, Cancer Research and Pathology and Forensic Medicine, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Autophagy in Disease and Therapy (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Pancreatic function and diabetes (2 papers), Natural product bioactivities and synthesis (2 papers), Plant biochemistry and biosynthesis (1 paper), NF-κB Signaling Pathways (1 paper) and Phytochemistry and Biological Activities (1 paper). The work is most often cited by research in Cancer Research (653 citations), Molecular Biology (1.5k citations), Clinical Biochemistry (69 citations), Oncology (233 citations) and Cell Biology (143 citations). Nathan Majewski has collaborated with scholars based in United States. Frequent co-authors include Nissim Hay, R. Brooks Robey, Kathrin Gottlob, Eugene Kandel, Scott Kennedy, Véronique Nogueira, Navdeep S. Chandel, Prashanth T. Bhaskar, Craig B. Thompson and Andrei L. Gartel. Their work appears in journals such as Molecular and Cellular Biology, Chinese Chemical Letters, Bioorganic & Medicinal Chemistry Letters, Blood 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.