Garwin Pichler

5.5k total citations · 3 hit papers
15 papers, 3.4k citations indexed

About

Garwin Pichler is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Garwin Pichler has authored 15 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Organic Chemistry. Recurrent topics in Garwin Pichler's work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Garwin Pichler is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Garwin Pichler collaborates with scholars based in Germany, Italy and Denmark. Garwin Pichler's co-authors include Nils A. Kulak, Matthias Mann, Nagarjuna Nagaraj, Igor Paron, Daniel Teupser, Lesca M. Holdt, Philipp E. Geyer, Heinrich Leonhardt, Gábor Gäbel and Frank Beutner and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Garwin Pichler

15 papers receiving 3.4k citations

Hit Papers

Minimal, encapsulated proteomic-sample processing applied... 2014 2026 2018 2022 2014 2016 2016 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells
    2014 1.2k citations Nils A. Kulak, Garwin Pichler et al. Nature Methods profile →
  2. Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humans
    2016 857 citations Lesca M. Holdt, Anika Stahringer et al. Nature Communications profile →
  3. Plasma Proteome Profiling to Assess Human Health and Disease
    2016 487 citations Philipp E. Geyer, Nils A. Kulak et al. Cell Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Garwin Pichler Germany 12 2.7k 847 614 284 264 15 3.4k
Nils A. Kulak Germany 11 2.8k 1.0× 858 1.0× 1.1k 1.8× 304 1.1× 178 0.7× 12 3.7k
Cristian Ruse United States 22 2.3k 0.8× 485 0.6× 885 1.4× 275 1.0× 188 0.7× 41 2.9k
Raghothama Chaerkady United States 37 2.4k 0.9× 474 0.6× 685 1.1× 270 1.0× 216 0.8× 91 3.6k
Javier Muñoz Spain 30 2.7k 1.0× 464 0.5× 519 0.8× 422 1.5× 417 1.6× 97 3.8k
Reinout Raijmakers Netherlands 32 3.0k 1.1× 390 0.5× 709 1.2× 253 0.9× 177 0.7× 57 4.3k
Søren Skov Jensen Denmark 16 1.7k 0.6× 440 0.5× 403 0.7× 117 0.4× 81 0.3× 17 2.1k
Jun‐ichi Furukawa Japan 28 2.4k 0.9× 316 0.4× 365 0.6× 409 1.4× 109 0.4× 115 2.9k
Philip R. Gafken United States 29 2.7k 1.0× 236 0.3× 366 0.6× 155 0.5× 252 1.0× 50 3.4k
Hanne H. Rasmussen Denmark 36 3.1k 1.1× 402 0.5× 721 1.2× 501 1.8× 221 0.8× 45 4.1k
Emily I. Chen United States 34 2.6k 1.0× 1.1k 1.3× 444 0.7× 441 1.6× 204 0.8× 55 4.4k

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 of co-authors of Garwin Pichler

This figure shows the co-authorship network connecting the top 25 collaborators of Garwin Pichler. A scholar is included among the top collaborators of Garwin Pichler 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 Garwin Pichler. Garwin Pichler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
2.
Geyer, Philipp E., Nils A. Kulak, Garwin Pichler, et al.. (2016). Plasma Proteome Profiling to Assess Human Health and Disease. Cell Systems. 2(3). 185–195. 487 indexed citations breakdown →
3.
Holdt, Lesca M., Anika Stahringer, Kristina Sass, et al.. (2016). Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humans. Nature Communications. 7(1). 12429–12429. 857 indexed citations breakdown →
4.
Graßl, Niklas, Nils A. Kulak, Garwin Pichler, et al.. (2016). Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome. Genome Medicine. 8(1). 44–44. 172 indexed citations
5.
Qin, Weihua, Patricia Wolf, Nan Liu, et al.. (2015). DNA methylation requires a DNMT1 ubiquitin interacting motif (UIM) and histone ubiquitination. Cell Research. 25(8). 911–929. 182 indexed citations
6.
Schumacher, Dominik, Jonas Helma, Florian A. Mann, et al.. (2015). Versatile and Efficient Site‐Specific Protein Functionalization by Tubulin Tyrosine Ligase. Angewandte Chemie International Edition. 54(46). 13787–13791. 84 indexed citations
7.
Schumacher, Dominik, Jonas Helma, Florian A. Mann, et al.. (2015). Vielseitige, effiziente und ortsspezifische Proteinfunktionalisierung durch das Enzym Tubulin‐Tyrosin‐Ligase. Angewandte Chemie. 127(46). 13992–13996. 15 indexed citations
8.
Kulak, Nils A., Garwin Pichler, Igor Paron, Nagarjuna Nagaraj, & Matthias Mann. (2014). Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells. Nature Methods. 11(3). 319–324. 1227 indexed citations breakdown →
9.
Johnson, Jared L., Nikola S. Müller, Garwin Pichler, et al.. (2013). Establishment of a robust single axis of cell polarity by coupling multiple positive feedback loops. Nature Communications. 4(1). 1807–1807. 80 indexed citations
10.
Pichler, Garwin, et al.. (2012). Versatile Toolbox for High Throughput Biochemical and Functional Studies with Fluorescent Fusion Proteins. PLoS ONE. 7(5). e36967–e36967. 7 indexed citations
11.
Pichler, Garwin, Heinrich Leonhardt, & Ulrich Rothbauer. (2012). Fluorescent Protein Specific Nanotraps to Study Protein–Protein Interactions and Histone-Tail Peptide Binding. Methods in molecular biology. 911. 475–483. 11 indexed citations
12.
Pichler, Garwin, Patricia Wolf, Christine S. Schmidt, et al.. (2011). Cooperative DNA and histone binding by Uhrf2 links the two major repressive epigenetic pathways. Journal of Cellular Biochemistry. 112(9). 2585–2593. 58 indexed citations
13.
Qin, Weihua, Heinrich Leonhardt, & Garwin Pichler. (2011). Regulation of DNA methyltransferase 1 by interactions and modifications. Nucleus. 2(5). 392–402. 70 indexed citations
14.
Rottach, Andrea, Carina Frauer, Garwin Pichler, et al.. (2009). The multi-domain protein Np95 connects DNA methylation and histone modification. Nucleic Acids Research. 38(6). 1796–1804. 133 indexed citations
15.
Cozzi, Renata, et al.. (1977). Cytological analysis of X-ray-induced aberrations in spermatocytes I and the somatic ganglia of male Drosophila melanogaster. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 45(2). 213–222. 2 indexed citations

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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