Tamara Hofer
Impact in
- Genetics top 2%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Evolution and Genetic Dynamics
- Genetic Associations and Epidemiology
- Ecological Modeling top 10%
Papers in
- Co-authors
- Laurent Excoffier (5 shared papers)Matthieu Foll (3 shared papers)Nicolas Ray (2 shared papers)Daniel Wegmann (1 shared paper)Joséphine T. Daub (1 shared paper)Lluís Quintana‐Murci (1 shared paper)Isabelle Dupanloup (1 shared paper)Marc Robinson‐Rechavi (1 shared paper)
- Journals
- Heredity (2 papers)Vaccines (1 paper)Molecular Biology and Evolution (1 paper)Nature Communications (1 paper)Cancers (1 paper)
- Partner nations
- SwitzerlandAustriaGermany
In The Last Decade
Tamara Hofer
11 papers receiving 1.0k citations
Tamara Hofer's Hit Papers
Peers
Comparison fields: 5 of 90
- Genetics 776
- Ecological Modeling 63
- Nature and Landscape Conservation 159
- Ecology 146
- Ecology, Evolution, Behavior and Systematics 107
Countries citing papers authored by Tamara Hofer
This map shows the geographic impact of Tamara Hofer'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 Tamara Hofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Hofer more than expected).
Fields of papers citing papers by Tamara Hofer
This network shows the impact of papers produced by Tamara Hofer. 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 Tamara Hofer. The network helps show where Tamara Hofer may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Hofer, 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 | Detecting loci under selection in a hierarchically structured population Hit paper breakdown → | 2009 | 650 |
| 2 | 2013 | 132 | |
| 3 | 2008 | 119 | |
| 4 | 2012 | 47 | |
| 5 | 2021 | 42 | |
| 6 | 2016 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2017 | 8 | |
| 9 | 2021 | 7 | |
| 10 | 2022 | 3 | |
| 11 | 2024 | 1 |
About Tamara Hofer
Tamara Hofer is a scholar working on Genetics, Oncology, Immunology, Molecular Biology and Virology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (3 papers), Virus-based gene therapy research (3 papers), Genetic Associations and Epidemiology (2 papers), Genetic diversity and population structure (2 papers), RNA and protein synthesis mechanisms (1 paper), vaccines and immunoinformatics approaches (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Genetics (776 citations), Ecological Modeling (63 citations), Nature and Landscape Conservation (159 citations), Ecology (146 citations) and Ecology, Evolution, Behavior and Systematics (107 citations). Tamara Hofer has collaborated with scholars based in Switzerland, Austria and Germany. Frequent co-authors include Laurent Excoffier, Matthieu Foll, Nicolas Ray, Daniel Wegmann, Joséphine T. Daub, Lluís Quintana‐Murci, Isabelle Dupanloup, Marc Robinson‐Rechavi, Dorotheé von Laer and Janine Kimpel. Their work appears in journals such as Heredity, Vaccines, Molecular Biology and Evolution, Nature Communications and Cancers.
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.