Martina Geier
- Infectious Diseases top 1%
- Molecular Biology top 10%
- Animal Science and Zoology top 2%
- Immunology top 10%
- Epidemiology top 10%
- Co-authors
- Stefan PöhlmannHeike HofmannThomas GrambergAndrea MarziLia van der HoekBen BerkhoutKrzysztof PyrćAnton Glieder
- Topics
- Microbial Metabolic Engineering and Bioproduction (11 papers)Fungal and yeast genetics research (8 papers)SARS-CoV-2 and COVID-19 Research (7 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionNature Communications
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Martina Geier
31 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Infectious Diseases 1.3k
- Molecular Biology 973
- Animal Science and Zoology 351
- Immunology 320
- Epidemiology 257
Countries citing papers authored by Martina Geier
This map shows the geographic impact of Martina Geier'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 Martina Geier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Geier more than expected).
Fields of papers citing papers by Martina Geier
This network shows the impact of papers produced by Martina Geier. 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 Martina Geier. The network helps show where Martina Geier may publish in the future.
Co-authorship network of co-authors of Martina Geier
This figure shows the co-authorship network connecting the top 25 collaborators of Martina Geier. A scholar is included among the top collaborators of Martina Geier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martina Geier. Martina Geier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 89 | |
| 5 | 47 | |
| 6 | 121 | |
| 7 | 78 | |
| 8 | 76 | |
| 9 | 3 | |
| 10 | 21 | |
| 11 | 18 | |
| 12 | 68 | |
| 13 | First functional expression of cytochrome P450 3A4 in Pichia pastoris | 15 |
| 14 | 41 | |
| 15 | 38 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 88 | |
| 19 | 162 | |
| 20 | 200 |
About Martina Geier
Martina Geier is a scholar working on Pharmacology, Animal Science and Zoology and Infectious Diseases, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (11 papers), Fungal and yeast genetics research (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Animal Science and Zoology (351 citations) and Immunology (320 citations). Martina Geier has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Stefan Pöhlmann, Heike Hofmann, Thomas Gramberg, Andrea Marzi, Lia van der Hoek, Ben Berkhout, Krzysztof Pyrć, Anton Glieder, Mandy Krumbiegel and Thomas Vogl. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.
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.