Philipp Guenzl

1.3k total citations · 1 hit paper
8 papers, 906 citations indexed

About

Philipp Guenzl is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Philipp Guenzl has authored 8 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Philipp Guenzl's work include RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers) and Genetic Syndromes and Imprinting (4 papers). Philipp Guenzl is often cited by papers focused on RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers) and Genetic Syndromes and Imprinting (4 papers). Philipp Guenzl collaborates with scholars based in Austria and Netherlands. Philipp Guenzl's co-authors include Denise P. Barlow, Florian M. Pauler, Aleksandra E. Kornienko, Róbert Královics, Christoph Dotter, Heinz Gisslinger, Bettina Gisslinger, Ciara Cleary, Hendrik Marks and Irena Vlatkovic and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Developmental Biology.

In The Last Decade

Philipp Guenzl

8 papers receiving 896 citations

Hit Papers

Gene regulation by the act of long non-coding RNA transcr... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Guenzl Austria 7 740 695 93 89 79 8 906
Pixi Yan China 6 657 0.9× 561 0.8× 44 0.5× 73 0.8× 55 0.7× 6 755
Catherine Cifuentes‐Rojas United States 12 839 1.1× 349 0.5× 98 1.1× 100 1.1× 20 0.3× 16 946
Daniel T. Youmans United States 6 803 1.1× 501 0.7× 51 0.5× 66 0.7× 25 0.3× 7 936
Chaochun Liu United States 9 1.1k 1.5× 1.0k 1.5× 78 0.8× 20 0.2× 23 0.3× 9 1.3k
Peijing Zhang China 12 1.1k 1.5× 853 1.2× 36 0.4× 209 2.3× 55 0.7× 19 1.3k
Hanfang Cai China 16 587 0.8× 448 0.6× 311 3.3× 63 0.7× 12 0.2× 56 852
Aleksandra E. Kornienko Austria 6 602 0.8× 579 0.8× 43 0.5× 142 1.6× 81 1.0× 6 782
Vijay Suresh Akhade India 9 748 1.0× 770 1.1× 61 0.7× 15 0.2× 23 0.3× 13 895
Rimao Wu China 12 356 0.5× 295 0.4× 49 0.5× 15 0.2× 28 0.4× 18 477
Saakshi Jalali India 12 719 1.0× 708 1.0× 36 0.4× 58 0.7× 60 0.8× 19 870

Countries citing papers authored by Philipp Guenzl

Since Specialization
Citations

This map shows the geographic impact of Philipp Guenzl'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 Philipp Guenzl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Guenzl more than expected).

Fields of papers citing papers by Philipp Guenzl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philipp Guenzl. 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 Philipp Guenzl. The network helps show where Philipp Guenzl may publish in the future.

Co-authorship network of co-authors of Philipp Guenzl

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

All Works

8 of 8 papers shown
1.
Kornienko, Aleksandra E., Christoph Dotter, Philipp Guenzl, et al.. (2016). Long non-coding RNAs display higher natural expression variation than protein-coding genes in healthy humans. Genome biology. 17(1). 14–14. 117 indexed citations
2.
Kuliński, Tomasz M., Philipp Guenzl, D. Wénzel, et al.. (2015). Imprinted expression in cystic embryoid bodies shows an embryonic and not an extra-embryonic pattern. Developmental Biology. 402(2). 291–305. 6 indexed citations
3.
Andergassen, Daniel, Christoph Dotter, Tomasz M. Kuliński, et al.. (2015). Allelome.PRO, a pipeline to define allele-specific genomic features from high-throughput sequencing data. Nucleic Acids Research. 43(21). gkv727–gkv727. 22 indexed citations
4.
Guenzl, Philipp, et al.. (2013). Insulin Hypersensitivity Induced by Hepatic PTEN Gene Ablation Protects from Murine Endotoxemia. PLoS ONE. 8(6). e67013–e67013. 7 indexed citations
5.
Kornienko, Aleksandra E., Philipp Guenzl, Denise P. Barlow, & Florian M. Pauler. (2013). Gene regulation by the act of long non-coding RNA transcription. BMC Biology. 11(1). 59–59. 595 indexed citations breakdown →
6.
Guenzl, Philipp & Denise P. Barlow. (2012). Macro lncRNAs. RNA Biology. 9(6). 731–741. 64 indexed citations
7.
Koerner, Martha V., Florian M. Pauler, Quanah J. Hudson, et al.. (2012). A Downstream CpG Island Controls Transcript Initiation and Elongation and the Methylation State of the Imprinted Airn Macro ncRNA Promoter. PLoS Genetics. 8(3). e1002540–e1002540. 18 indexed citations
8.
Huang, Ru, Markus Jaritz, Philipp Guenzl, et al.. (2011). An RNA-Seq Strategy to Detect the Complete Coding and Non-Coding Transcriptome Including Full-Length Imprinted Macro ncRNAs. PLoS ONE. 6(11). e27288–e27288. 77 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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