Gerda Saxer
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Genetics top 5%
- Evolution and Genetic Dynamics
Papers in
- Genetics 15
- Evolution and Genetic Dynamics 14
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- Gene Regulatory Network Analysis 3
- Co-authors
- Michael Travisano (7 shared papers)Michael Doebeli (6 shared papers)Josh Van Buskirk (2 shared papers)Yousif Shamoo (7 shared papers)Maren Friesen (2 shared papers)César A. Arias (3 shared papers)Kathryn Beabout (3 shared papers)Thomas P. Clements (2 shared papers)
- Journals
- Evolution (5 papers)PLoS ONE (4 papers)Antimicrobial Agents and Chemotherapy (3 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesCanadaColombia
In The Last Decade
Gerda Saxer
21 papers receiving 920 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 182
- Genetics 426
- Ecology, Evolution, Behavior and Systematics 162
- Microbiology 6
- Endocrinology 39
Countries citing papers authored by Gerda Saxer
This map shows the geographic impact of Gerda Saxer'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 Gerda Saxer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerda Saxer more than expected).
Fields of papers citing papers by Gerda Saxer
This network shows the impact of papers produced by Gerda Saxer. 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 Gerda Saxer. The network helps show where Gerda Saxer may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerda Saxer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 151 | |
| 2 | 2001 | 106 | |
| 3 | 2015 | 102 | |
| 4 | 2013 | 83 | |
| 5 | 2010 | 59 | |
| 6 | 2023 | 58 | |
| 7 | 2015 | 50 | |
| 8 | 2012 | 46 | |
| 9 | 2014 | 42 | |
| 10 | 2012 | 40 | |
| 11 | 2009 | 34 | |
| 12 | 2010 | 34 | |
| 13 | 2005 | 31 | |
| 14 | 2015 | 27 | |
| 15 | Seasonal resource oscillations maintain diversity in bacterial microcosms | 2007 | 23 |
| 16 | 2004 | 20 | |
| 17 | 2010 | 13 | |
| 18 | 2012 | 12 | |
| 19 | 2007 | 6 | |
| 20 | 2013 | 2 |
About Gerda Saxer
Gerda Saxer is a scholar working on Genetics, Molecular Biology, Sociology and Political Science, Ecology, Evolution, Behavior and Systematics and Infectious Diseases, having authored 21 papers that have together received 940 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (14 papers), Evolutionary Game Theory and Cooperation (7 papers), Plant and animal studies (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Gene Regulatory Network Analysis (3 papers), Antibiotic Resistance in Bacteria (3 papers), Animal Behavior and Reproduction (2 papers) and Orthoptera Research and Taxonomy (2 papers). The work is most often cited by research in Molecular Medicine (182 citations), Genetics (426 citations), Ecology, Evolution, Behavior and Systematics (162 citations), Microbiology (6 citations) and Endocrinology (39 citations). Gerda Saxer has collaborated with scholars based in United States, Canada and Colombia. Frequent co-authors include Michael Travisano, Michael Doebeli, Josh Van Buskirk, Yousif Shamoo, Maren Friesen, César A. Arias, Kathryn Beabout, Thomas P. Clements, David C. Queller and Joan E. Strassmann. Their work appears in journals such as Evolution, PLoS ONE, Antimicrobial Agents and Chemotherapy, Proceedings of the Royal Society B Biological Sciences and PLoS Genetics.
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.