Dawid G. Nowak
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 3
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 6
- Ubiquitin and proteasome pathways 6
- Pluripotent Stem Cells Research 3
- CRISPR and Genetic Engineering 3
- Angiogenesis and VEGF in Cancer 3
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research 3
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- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- David O. BatesMichael LadomerySteven J. HarperElianna AminJeanette WoolardMoin A. SaleemLloyd C. TrotmanOlga Konopatskaya
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Dawid G. Nowak
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Cancer Research 242
- Business and International Management 27
- Molecular Biology 952
- Immunology and Allergy 65
- Aging 16
Countries citing papers authored by Dawid G. Nowak
This map shows the geographic impact of Dawid G. Nowak'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 Dawid G. Nowak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawid G. Nowak more than expected).
Fields of papers citing papers by Dawid G. Nowak
This network shows the impact of papers produced by Dawid G. Nowak. 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 Dawid G. Nowak. The network helps show where Dawid G. Nowak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dawid G. Nowak, 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 | 2024 | 4 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 5 | |
| 5 | 2019 | 30 | |
| 6 | 2017 | 133 | |
| 7 | 2015 | 64 | |
| 8 | 2014 | 31 | |
| 9 | 2014 | 24 | |
| 10 | 2013 | 7 | |
| 11 | 2011 | 202 | |
| 12 | 2011 | 131 | |
| 13 | 2011 | 1 | |
| 14 | 2010 | 33 | |
| 15 | 2010 | 24 | |
| 16 | 2009 | 173 | |
| 17 | 2008 | 270 | |
| 18 | 2006 | 4 | |
| 19 | 2006 | 1 | |
| 20 | Enhanced lipid peroxidation in cancer tissue homogenates in non-small cell lung cancer. | 2001 | 23 |
About Dawid G. Nowak
Dawid G. Nowak is a scholar working on Immunology and Allergy, Cancer Research and Molecular Biology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Ubiquitin and proteasome pathways (6 papers), Pluripotent Stem Cells Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), CRISPR and Genetic Engineering (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cancer Research (242 citations), Business and International Management (27 citations) and Molecular Biology (952 citations). Dawid G. Nowak has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include David O. Bates, Michael Ladomery, Steven J. Harper, Elianna Amin, Jeanette Woolard, Moin A. Saleem, Lloyd C. Trotman, Olga Konopatskaya, A Churchill and Melissa V. Gammons. Their work appears in journals such as Cancer Cell, The FASEB Journal, Cancer Discovery, Scientific Reports and Clinical Cancer Research.
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.