Phil Arnold

1.6k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Phil Arnold is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Phil Arnold has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Phil Arnold's work include Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). Phil Arnold is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). Phil Arnold collaborates with scholars based in Switzerland, Germany and United Kingdom. Phil Arnold's co-authors include Erik van Nimwegen, Mikhail Pachkov, Piotr J. Balwierz, Gerhard Christofori, Neha Tiwari, Nathalie Meyer‐Schaller, Lorenz Waldmeier, Dirk Schübeler, Vijay Tiwari and Andreas Gruber and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Phil Arnold

10 papers receiving 1.1k citations

Hit Papers

Sox4 Is a Master Regulator of Epithelial-Mesenchymal Tran... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phil Arnold Switzerland 8 906 256 225 134 132 10 1.1k
Annalisa Di Ruscio Italy 19 1.1k 1.2× 307 1.2× 167 0.7× 83 0.6× 102 0.8× 36 1.5k
Etienne Danis United States 18 1.0k 1.1× 232 0.9× 323 1.4× 209 1.6× 141 1.1× 40 1.4k
Karoline J. Briegel United States 17 720 0.8× 191 0.7× 242 1.1× 68 0.5× 110 0.8× 28 1.0k
Yaser Atlasi Netherlands 16 1.3k 1.5× 212 0.8× 288 1.3× 65 0.5× 106 0.8× 29 1.5k
Germana Falcone Italy 22 1.1k 1.2× 383 1.5× 138 0.6× 163 1.2× 134 1.0× 44 1.4k
Liyun Sang United States 5 674 0.7× 119 0.5× 186 0.8× 189 1.4× 152 1.2× 5 913
Mandy Wahlbuhl Germany 8 710 0.8× 209 0.8× 267 1.2× 96 0.7× 117 0.9× 15 940
Ngan Ching Cheng Australia 13 681 0.8× 236 0.9× 109 0.5× 80 0.6× 186 1.4× 20 899
Nico Lansu Netherlands 14 378 0.4× 188 0.7× 147 0.7× 109 0.8× 110 0.8× 16 666
Ivana L. de la Serna United States 18 1.6k 1.7× 150 0.6× 146 0.6× 114 0.9× 164 1.2× 29 1.7k

Countries citing papers authored by Phil Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Phil Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Arnold

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

All Works

10 of 10 papers shown
1.
Pachkov, Mikhail, Phil Arnold, Saeed Omidi, et al.. (2019). Crunch: integrated processing and modeling of ChIP-seq data in terms of regulatory motifs. Genome Research. 29(7). 1164–1177. 6 indexed citations
2.
Arnold, Phil, et al.. (2015). Luteipulveratus halotolerans sp. nov., an actinobacterium (Dermacoccaceae) from forest soil. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 65(Pt_11). 4113–4120. 3 indexed citations
3.
Balwierz, Piotr J., Mikhail Pachkov, Phil Arnold, et al.. (2014). ISMARA: automated modeling of genomic signals as a democracy of regulatory motifs. Genome Research. 24(5). 869–884. 198 indexed citations
4.
Diepenbruck, Maren, Lorenz Waldmeier, Robert Ivánek, et al.. (2014). Tead2 expression levels control Yap/Taz subcellular distribution, zyxin expression, and epithelial-mesenchymal transition. Journal of Cell Science. 127(Pt 7). 1523–36. 116 indexed citations
5.
Tiwari, Neha, Vijay Tiwari, Lorenz Waldmeier, et al.. (2013). Sox4 Is a Master Regulator of Epithelial-Mesenchymal Transition by Controlling Ezh2 Expression and Epigenetic Reprogramming. Cancer Cell. 23(6). 768–783. 394 indexed citations breakdown →
6.
Tiwari, Neha, Nathalie Meyer‐Schaller, Phil Arnold, et al.. (2013). Klf4 Is a Transcriptional Regulator of Genes Critical for EMT, Including Jnk1 (Mapk8). PLoS ONE. 8(2). e57329–e57329. 135 indexed citations
7.
Tiwari, Neha, Nathalie Meyer‐Schaller, Phil Arnold, et al.. (2013). Correction: Klf4 Is a Transcriptional Regulator of Genes Critical for EMT, Including Jnk1 (Mapk8). PLoS ONE. 8(10). 29 indexed citations
8.
Arnold, Phil, Anne Schöler, Mikhail Pachkov, et al.. (2012). Modeling of epigenome dynamics identifies transcription factors that mediate Polycomb targeting. Genome Research. 23(1). 60–73. 89 indexed citations
9.
Pachkov, Mikhail, Piotr J. Balwierz, Phil Arnold, Evgeniy A. Ozonov, & Erik van Nimwegen. (2012). SwissRegulon, a database of genome-wide annotations of regulatory sites: recent updates. Nucleic Acids Research. 41(D1). D214–D220. 100 indexed citations
10.
Arnold, Phil, Ionas Erb, Mikhail Pachkov, Nacho Molina, & Erik van Nimwegen. (2011). MotEvo: integrated Bayesian probabilistic methods for inferring regulatory sites and motifs on multiple alignments of DNA sequences. Bioinformatics. 28(4). 487–494. 49 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026