Philipp Hubel

1.3k total citations · 1 hit paper
17 papers, 874 citations indexed

About

Philipp Hubel is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Philipp Hubel has authored 17 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Philipp Hubel's work include interferon and immune responses (4 papers), RNA modifications and cancer (3 papers) and Cancer Research and Treatments (2 papers). Philipp Hubel is often cited by papers focused on interferon and immune responses (4 papers), RNA modifications and cancer (3 papers) and Cancer Research and Treatments (2 papers). Philipp Hubel collaborates with scholars based in Germany, Netherlands and United States. Philipp Hubel's co-authors include Andreas Pichlmair, Christian Benda, Gaya K. Amarasinghe, Daisy W. Leung, Peter Staeheli, Bernhard Ryffel, Daniel Schnepf, Darya A. Haas, Fabiana Perocchi and Matthias Habjan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Philipp Hubel

17 papers receiving 867 citations

Hit Papers

Oxeiptosis, a ROS-induced caspase-independent apoptosis-l... 2017 2026 2020 2023 2017 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
Philipp Hubel Germany 10 408 299 175 139 75 17 874
Darya A. Haas Germany 9 369 0.9× 178 0.6× 95 0.5× 160 1.2× 103 1.4× 12 747
Ming Fu China 15 253 0.6× 153 0.5× 169 1.0× 149 1.1× 73 1.0× 57 755
Tanja Werner Germany 16 273 0.7× 318 1.1× 153 0.9× 142 1.0× 29 0.4× 39 923
Yasunori Saitoh Japan 15 496 1.2× 715 2.4× 149 0.9× 136 1.0× 55 0.7× 25 1.3k
Masami Miyake Japan 21 458 1.1× 195 0.7× 239 1.4× 146 1.1× 41 0.5× 54 1.4k
Tanmay Majumdar India 16 314 0.8× 411 1.4× 180 1.0× 215 1.5× 39 0.5× 30 926
Qi Luo China 16 382 0.9× 381 1.3× 102 0.6× 95 0.7× 39 0.5× 32 1.1k
Feng Huang China 18 407 1.0× 249 0.8× 269 1.5× 173 1.2× 24 0.3× 47 958
Erica L. Sanchez United States 9 468 1.1× 284 0.9× 249 1.4× 339 2.4× 161 2.1× 13 1.2k
Florian Altenberend Germany 11 395 1.0× 353 1.2× 66 0.4× 324 2.3× 56 0.7× 13 881

Countries citing papers authored by Philipp Hubel

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Hubel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Hubel

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

All Works

17 of 17 papers shown
1.
Hiller, E, et al.. (2025). Genetic Code Expansion for Controlled Surfactin Production in a High Cell-Density Bacillus subtilis Strain. Microorganisms. 13(2). 353–353. 4 indexed citations
2.
Willems, Ludo, et al.. (2025). Bioprocess exploitation of microaerobic auto-induction using the example of rhamnolipid biosynthesis in Pseudomonas putida KT2440. Journal of Biological Engineering. 19(1). 8–8. 1 indexed citations
3.
Fooladi, Jamshid, et al.. (2024). Toward Effects of Hydrophobicity on Biosurfactant Production by Bacillus subtilis Isolates from Crude-Oil-Exposed Environments. SHILAP Revista de lepidopterología. 4(1). 215–236. 2 indexed citations
4.
Huang, Yiqi, Christian Urban, Philipp Hubel, Alexey Stukalov, & Andreas Pichlmair. (2024). Protein turnover regulation is critical for influenza A virus infection. Cell Systems. 15(10). 911–929.e8. 1 indexed citations
5.
Bergant, Valter, Daniel Schnepf, Philipp Hubel, et al.. (2023). mRNA 3’UTR lengthening by alternative polyadenylation attenuates inflammatory responses and correlates with virulence of Influenza A virus. Nature Communications. 14(1). 4906–4906. 9 indexed citations
6.
Pfannstiel, Jens, Ute Bertsche, Philipp Hubel, et al.. (2023). Characterization ofantifungal properties of lipopeptide-producing Bacillus velezensis strains and their proteome-based response to the phytopathogens, Diaporthe spp. Frontiers in Bioengineering and Biotechnology. 11. 1228386–1228386. 9 indexed citations
7.
Lilge, Lars, Philipp Hubel, Jens Pfannstiel, et al.. (2022). Surfactin Shows Relatively Low Antimicrobial Activity against Bacillus subtilis and Other Bacterial Model Organisms in the Absence of Synergistic Metabolites. Microorganisms. 10(4). 779–779. 24 indexed citations
8.
Li, Yinan, Chih‐Wei Chen, Thuong Trinh‐Minh, et al.. (2022). Dynamic changes in O-GlcNAcylation regulate osteoclast differentiation and bone loss via nucleoporin 153. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
9.
Pei, Jingjing, Philipp Hubel, Valter Bergant, et al.. (2021). Nuclear-localized human respiratory syncytial virus NS1 protein modulates host gene transcription. Cell Reports. 37(2). 109803–109803. 29 indexed citations
10.
Hubel, Philipp, et al.. (2021). Comprehensive proteome analysis of bread deciphering the allergenic potential of bread wheat, spelt and rye. Journal of Proteomics. 247. 104318–104318. 19 indexed citations
11.
Boer, Ingrid G. J., Michael L. van de Weijer, Philipp Hubel, et al.. (2021). The UFM1 Pathway Impacts HCMV US2-Mediated Degradation of HLA Class I. Molecules. 26(2). 287–287. 10 indexed citations
12.
Hubel, Philipp, Christian Urban, Valter Bergant, et al.. (2019). A protein-interaction network of interferon-stimulated genes extends the innate immune system landscape. Nature Immunology. 20(4). 493–502. 130 indexed citations
13.
Michaudel, Chloé, Claire Mackowiak, Darya A. Haas, et al.. (2017). Oxeiptosis, a ROS-induced caspase-independent apoptosis-like cell-death pathway. Nature Immunology. 19(2). 130–140. 338 indexed citations breakdown →
14.
Nilsson, Emma, Philipp Hubel, Arunkumar S. Upadhyay, et al.. (2017). Viperin Targets Flavivirus Virulence by Inducing Assembly of Noninfectious Capsid Particles. Journal of Virology. 92(1). 40 indexed citations
15.
Kainulainen, Markus H., Matthias Habjan, Philipp Hubel, et al.. (2014). Virulence Factor NSs of Rift Valley Fever Virus Recruits the F-Box Protein FBXO3 To Degrade Subunit p62 of General Transcription Factor TFIIH. Journal of Virology. 88(6). 3464–3473. 66 indexed citations
16.
Hubel, Philipp, Kristin Höhne, Joëlle V. Fritz, et al.. (2013). HIV-1 Vpu affects the anterograde transport and the glycosylation pattern of NTB-A. Virology. 440(2). 190–203. 30 indexed citations
17.
Habjan, Matthias, Philipp Hubel, Lívia Lacerda Mariano, et al.. (2013). Sequestration by IFIT1 Impairs Translation of 2′O-unmethylated Capped RNA. PLoS Pathogens. 9(10). e1003663–e1003663. 160 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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