Garwin Pichler

5.5k citations
15 papers · 3.4k indexed · 3 hit papers · h-index 12

Garwin Pichler

15 papers receiving 3.4k citations

Hit Papers

Circular non-coding RNA ANRIL modulates ribosomal RNA mat...85720142026201820224008001.2k

Peers

Garwin Pichler
Comparison fields: 5 of 134
  • Cancer Research 847
  • Molecular Biology 2.7k
  • Spectroscopy 614
  • Cell Biology 284
  • Periodontics 76
Replace Nils A. Kulak with:
Nils A. Kulak Germany
Raghothama Chaerkady United States
Reinout Raijmakers Netherlands
Hanne H. Rasmussen Denmark
Emily I. Chen United States
Cristian Ruse United States
Søren Skov Jensen Denmark
David Knight United Kingdom
David W. Powell United States
Javier Muñoz Spain
Garwin Pichler relative to Nils A. Kulak Germany Nils A. Kulak's profile →
Citations per field
00.5×1.5×
Nils A. Kulak · 1×
Citations per year

Countries citing papers authored by Garwin Pichler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Garwin Pichler Line = papers co-authored together Garwin Pichler links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201821
2
Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humansbreakdown →
2016857
3
Plasma Proteome Profiling to Assess Human Health and Diseasebreakdown →
2016487
4 2016172
5 2015182
6 201584
7 201515
8
Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cellsbreakdown →
20141227
9 201380
10 20127
11 201211
12 201158
13 201170
14 2009133
15 19772

About Garwin Pichler

Garwin Pichler is a scholar working on Aging, Periodontics and Biophysics, 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), Click Chemistry and Applications (2 papers), Chemical Synthesis and Analysis (2 papers), Advanced Proteomics Techniques and Applications (2 papers), RNA modifications and cancer (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Cancer Research (847 citations), Molecular Biology (2.7k citations) and Spectroscopy (614 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, Daniel Teupser, Lesca M. Holdt, Philipp E. Geyer, Heinrich Leonhardt, Alexander Kohlmaier 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.

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