Rainer Pöhlmann
Impact in
- Molecular Biology top 2%
- Fungal and yeast genetics research
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Fungal and yeast genetics research 4
- RNA and protein synthesis mechanisms 2
- Microbial Metabolic Engineering and Bioproduction 1
- RNA modifications and cancer 1
- CRISPR and Genetic Engineering 1
- Genetics 2
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Peter Philippsen (5 shared papers)Achim Wach (1 shared paper)Arndt Brachat (1 shared paper)Sabine Steiner (2 shared papers)Fred S. Dietrich (2 shared papers)Sylvia Voegeli (1 shared paper)Rod A. Wing (1 shared paper)Thomas Gaffney (1 shared paper)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
Rainer Pöhlmann
5 papers receiving 2.8k citations
Rainer Pöhlmann's Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 2.7k
- Cell Biology 584
- Aging 39
- Plant Science 507
- Food Science 200
Countries citing papers authored by Rainer Pöhlmann
This map shows the geographic impact of Rainer Pöhlmann'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 Rainer Pöhlmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Pöhlmann more than expected).
Fields of papers citing papers by Rainer Pöhlmann
This network shows the impact of papers produced by Rainer Pöhlmann. 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 Rainer Pöhlmann. The network helps show where Rainer Pöhlmann may publish in the future.
Co-authors
The 12 scholars most cited alongside Rainer Pöhlmann, 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 | New heterologous modules for classical or PCR‐based gene disruptions in Saccharomyces cerevisiae Hit paper breakdown → | 1994 | 2323 |
| 2 | The Ashbya gossypii Genome as a Tool for Mapping the Ancient Saccharomyces cerevisiae Genome Hit paper breakdown → | 2004 | 529 |
| 3 | 1999 | 18 | |
| 4 | 1996 | 11 | |
| 5 | 1996 | 1 |
About Rainer Pöhlmann
Rainer Pöhlmann is a scholar working on Molecular Biology, Genetics, Pharmacology, Food Science and Plant Science, having authored 5 papers that have together received 2.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Bacterial Genetics and Biotechnology (2 papers), RNA and protein synthesis mechanisms (2 papers), Fermentation and Sensory Analysis (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), RNA modifications and cancer (1 paper), CRISPR and Genetic Engineering (1 paper) and Plant Disease Resistance and Genetics (1 paper). The work is most often cited by research in Molecular Biology (2.7k citations), Cell Biology (584 citations), Aging (39 citations), Plant Science (507 citations) and Food Science (200 citations). Rainer Pöhlmann has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Peter Philippsen, Achim Wach, Arndt Brachat, Sabine Steiner, Fred S. Dietrich, Sylvia Voegeli, Rod A. Wing, Thomas Gaffney, Anita Lerch and Sangdun Choi. Their work appears in journals such as Yeast, Science and Current 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.