Garwin Pichler
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Metabolomics and Mass Spectrometry Studies
Papers in
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- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 4
- Genomics and Chromatin Dynamics 2
- Chemical Synthesis and Analysis 2
- RNA modifications and cancer 2
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Nils A. Kulak (5 shared papers)Matthias Mann (4 shared papers)Igor Paron (1 shared paper)Nagarjuna Nagaraj (1 shared paper)Lesca M. Holdt (2 shared papers)Daniel Teupser (2 shared papers)Philipp E. Geyer (2 shared papers)Heinrich Leonhardt (7 shared papers)
In The Last Decade
Garwin Pichler
15 papers receiving 3.4k citations
Garwin Pichler's Hit Papers
Peers
Comparison fields: 5 of 134
- Cancer Research 847
- Molecular Biology 2.7k
- Spectroscopy 614
- Cell Biology 284
- Periodontics 76
Countries citing papers authored by Garwin Pichler
This map shows the geographic impact of Garwin Pichler'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 Garwin Pichler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garwin Pichler more than expected).
Fields of papers citing papers by Garwin Pichler
This network shows the impact of papers produced by Garwin Pichler. 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 Garwin Pichler. The network helps show where Garwin Pichler may publish in the future.
Co-authors
The 25 scholars most cited alongside Garwin Pichler, 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 | Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells Hit paper breakdown → | 2014 | 1227 |
| 2 | Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humans Hit paper breakdown → | 2016 | 857 |
| 3 | Plasma Proteome Profiling to Assess Human Health and Disease Hit paper breakdown → | 2016 | 487 |
| 4 | 2015 | 182 | |
| 5 | 2016 | 172 | |
| 6 | 2009 | 133 | |
| 7 | 2015 | 84 | |
| 8 | 2013 | 80 | |
| 9 | 2011 | 70 | |
| 10 | 2011 | 58 | |
| 11 | 2018 | 21 | |
| 12 | 2015 | 15 | |
| 13 | 2012 | 11 | |
| 14 | 2012 | 7 | |
| 15 | 1977 | 2 |
About Garwin Pichler
Garwin Pichler is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Genetics and Spectroscopy, having authored 15 papers that have together received 3.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genomics and Chromatin Dynamics (2 papers), Chemical Synthesis and Analysis (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), RNA modifications and cancer (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (847 citations), Molecular Biology (2.7k citations), Spectroscopy (614 citations), Cell Biology (284 citations) and Periodontics (76 citations). Garwin Pichler has collaborated with scholars based in Germany, Italy and Denmark. Frequent co-authors include Nils A. Kulak, Matthias Mann, Igor Paron, Nagarjuna Nagaraj, Lesca M. Holdt, Daniel Teupser, Philipp E. Geyer, Heinrich Leonhardt, Gábor Gäbel and Bernd H. Northoff. Their work appears in journals such as Nature Communications, Nature Methods, Journal of Cellular Biochemistry, Nucleic Acids Research and Cell Research.
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.