Michael W. Pfaffl
- Molecular Biology top 0.02%
- Molecular Biology Techniques and Applications 51
- Extracellular vesicles in disease 38
- RNA Research and Splicing 20
- Cancer Research top 0.1%
- MicroRNA in disease regulation 45
- Cancer-related molecular mechanisms research 21
- Immunology top 0.1%
- Aquatic Science top 0.05%
- Aging top 0.5%
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- Reproductive Physiology in Livestock 26
- Milk Quality and Mastitis in Dairy Cows 20
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- Genetic and phenotypic traits in livestock 15
Michael W. Pfaffl
238 papers receiving 61.1k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Molecular Biology 30.7k
- Cancer Research 6.1k
- Immunology 7.1k
- Aquatic Science 2.1k
- Aging 471
Countries citing papers authored by Michael W. Pfaffl
This map shows the geographic impact of Michael W. Pfaffl'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 Michael W. Pfaffl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Pfaffl more than expected).
Fields of papers citing papers by Michael W. Pfaffl
This network shows the impact of papers produced by Michael W. Pfaffl. 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 Michael W. Pfaffl. The network helps show where Michael W. Pfaffl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael W. Pfaffl, 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 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 26 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 14 | |
| 13 | 2018 | 193 | |
| 14 | 2018 | 10 | |
| 15 | 2016 | 48 | |
| 16 | MIQE compliance in expression profiling and clinical biomarker discovery | 2015 | 1 |
| 17 | 2011 | 22 | |
| 18 | 2010 | 11 | |
| 19 | RNA-Qualitätskontrolle in der Genexpressionsanalytik | 2009 | 1 |
| 20 | 2009 | 2 |
About Michael W. Pfaffl
Michael W. Pfaffl is a scholar working on Agronomy and Crop Science, Cancer Research and Animal Science and Zoology, having authored 247 papers that have together received 62.0k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (51 papers), MicroRNA in disease regulation (45 papers), Extracellular vesicles in disease (38 papers), Reproductive Physiology in Livestock (26 papers), Cancer-related molecular mechanisms research (21 papers), Milk Quality and Mastitis in Dairy Cows (20 papers), RNA Research and Splicing (20 papers) and Genetic and phenotypic traits in livestock (15 papers). The work is most often cited by research in Molecular Biology (30.7k citations), Cancer Research (6.1k citations) and Immunology (7.1k citations). Michael W. Pfaffl has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Stephen A. Bustin, Vladimı́r Beneš, Tania Nolan, Mikael Kubista, Aleš Tichopád, Christian Prgomet, Jo Vandesompele, Jan Hellemans, Jim F. Huggett and Carl T. Wittwer. Their work appears in journals such as PLoS ONE, Biotechnology Letters, Domestic Animal Endocrinology, Nucleic Acids Research and The Journal of Steroid Biochemistry and Molecular Biology.
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.