Martin A. Nowak
- Virology top 0.01%
- HIV Research and Treatment 57
- Safety Research top 0.01%
- Experimental Behavioral Economics Studies 86
- Sociology and Political Science top 0.01%
- Evolutionary Game Theory and Cooperation 245
- Genetics top 0.01%
- Evolution and Genetic Dynamics 210
- Modeling and Simulation top 0.02%
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- Mathematical and Theoretical Epidemiology and Ecology Models 86
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- Cancer Genomics and Diagnostics 48
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- Game Theory and Applications 45
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- Immune Cell Function and Interaction 29
- Co-authors
- Karl SigmundRobert M. MayDavid G. RandArne TraulsenHisashi OhtsukiChristoph HauertSebastian BonhoefferYoh Iwasa
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Martin A. Nowak
477 papers receiving 78.1k citations
Hit Papers
Peers
Comparison fields: 5 of 235
- Virology 11.5k
- Safety Research 14.1k
- Sociology and Political Science 37.2k
- Genetics 24.0k
- Modeling and Simulation 3.7k
Countries citing papers authored by Martin A. Nowak
This map shows the geographic impact of Martin A. 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 Martin A. Nowak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin A. Nowak more than expected).
Fields of papers citing papers by Martin A. Nowak
This network shows the impact of papers produced by Martin A. 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 Martin A. Nowak. The network helps show where Martin A. Nowak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin A. 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 | 2023 | 23 | |
| 2 | 2023 | 32 | |
| 3 | 2021 | 88 | |
| 4 | 2020 | 7 | |
| 5 | 2019 | 54 | |
| 6 | 2018 | 191 | |
| 7 | 2018 | 18 | |
| 8 | 2017 | 35 | |
| 9 | 2017 | 121 | |
| 10 | 2017 | 17 | |
| 11 | 2017 | 105 | |
| 12 | 2015 | 98 | |
| 13 | 2015 | 85 | |
| 14 | 2015 | 24 | |
| 15 | 2015 | 59 | |
| 16 | The molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancersbreakdown → | 2012 | 1290 |
| 17 | 2009 | 187 | |
| 18 | Comparative lesion sequencing provides insights into tumor evolutionbreakdown → | 2008 | 596 |
| 19 | 2002 | 235 | |
| 20 | Homo Grammaticus: Mathematics has a say about how human language evolved. | 2001 | 0 |
About Martin A. Nowak
Martin A. Nowak is a scholar working on Virology, Safety Research and Genetics, having authored 485 papers that have together received 80.9k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (245 papers), Evolution and Genetic Dynamics (210 papers), Experimental Behavioral Economics Studies (86 papers), Mathematical and Theoretical Epidemiology and Ecology Models (86 papers), HIV Research and Treatment (57 papers), Cancer Genomics and Diagnostics (48 papers), Game Theory and Applications (45 papers) and Immune Cell Function and Interaction (29 papers). The work is most often cited by research in Virology (11.5k citations), Safety Research (14.1k citations) and Sociology and Political Science (37.2k citations). Martin A. Nowak has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Karl Sigmund, Robert M. May, David G. Rand, Arne Traulsen, Hisashi Ohtsuki, Christoph Hauert, Sebastian Bonhoeffer, Yoh Iwasa, Bert Vogelstein and E. James Lieberman. Their work appears in journals such as Nature, Science and Cell.
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.