Philipp G. Maass

2.6k total citations
26 papers, 1.4k citations indexed

About

Philipp G. Maass is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Philipp G. Maass has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Philipp G. Maass's work include RNA Research and Splicing (12 papers), Cancer-related molecular mechanisms research (10 papers) and Genomics and Chromatin Dynamics (8 papers). Philipp G. Maass is often cited by papers focused on RNA Research and Splicing (12 papers), Cancer-related molecular mechanisms research (10 papers) and Genomics and Chromatin Dynamics (8 papers). Philipp G. Maass collaborates with scholars based in United States, Germany and Canada. Philipp G. Maass's co-authors include Friedrich C. Luft, Sylvia Bähring, A. Rasim Barutcu, John L. Rinn, Catherine L. Weiner, Chiara Gerhardinger, Marta Melé, Okan Toka, Gunnar Dittmar and Luisa Schreyer and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Philipp G. Maass

25 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp G. Maass United States 17 1.2k 696 143 106 75 26 1.4k
Kathy S. Lin United States 6 845 0.7× 652 0.9× 81 0.6× 27 0.3× 30 0.4× 7 1.1k
Ryan M. Spengler United States 15 919 0.8× 615 0.9× 70 0.5× 47 0.4× 26 0.3× 20 1.1k
Bing Su China 18 1.0k 0.9× 813 1.2× 102 0.7× 35 0.3× 23 0.3× 25 1.4k
Noboru J. Sakabe United States 18 1.0k 0.9× 148 0.2× 204 1.4× 75 0.7× 131 1.7× 27 1.3k
Dachang Tao China 18 623 0.5× 294 0.4× 239 1.7× 198 1.9× 11 0.1× 67 1000
Charlie Y. Shi United States 5 1.3k 1.1× 1.1k 1.6× 34 0.2× 35 0.3× 23 0.3× 7 1.6k
Priyatansh Gurha United States 23 1.1k 1.0× 353 0.5× 68 0.5× 78 0.7× 572 7.6× 44 1.7k
Ryo Nakaki Japan 14 895 0.8× 291 0.4× 81 0.6× 31 0.3× 26 0.3× 18 1.2k
Qinyu Hao United States 11 855 0.7× 659 0.9× 47 0.3× 20 0.2× 18 0.2× 16 1.0k
Shijie Li China 12 455 0.4× 169 0.2× 140 1.0× 34 0.3× 29 0.4× 42 664

Countries citing papers authored by Philipp G. Maass

Since Specialization
Citations

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

Fields of papers citing papers by Philipp G. Maass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp G. Maass

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

All Works

20 of 20 papers shown
1.
Chan, Janet N.Y., Anne Hakem, Roderic Espín, et al.. (2024). DNA double-strand break–capturing nuclear envelope tubules drive DNA repair. Nature Structural & Molecular Biology. 31(9). 1319–1330. 26 indexed citations
2.
Nguyen, Son C., Sergio Espeso‐Gil, A. Rasim Barutcu, et al.. (2024). Inter-chromosomal contacts demarcate genome topology along a spatial gradient. Nature Communications. 15(1). 9813–9813. 3 indexed citations
3.
Markó, Lajos, Daniele Yumi Sunaga, Kerstin Zühlke, et al.. (2023). Mutant phosphodiesterase 3A protects the kidney from hypertension-induced damage. Kidney International. 104(2). 388–393.
4.
Maass, Philipp G., et al.. (2022). Identifying Tissue- and Cohort-Specific RNA Regulatory Modules in Cancer Cells Using Multitask Learning. Cancers. 14(19). 4939–4939. 1 indexed citations
5.
Barutcu, A. Rasim, Mingkun Wu, Ulrich Braunschweig, et al.. (2022). Systematic mapping of nuclear domain-associated transcripts reveals speckles and lamina as hubs of functionally distinct retained introns. Molecular Cell. 82(5). 1035–1052.e9. 56 indexed citations
6.
Espeso‐Gil, Sergio, Aliaksei Z. Holik, Sarah Bonnin, et al.. (2021). Environmental Enrichment Induces Epigenomic and Genome Organization Changes Relevant for Cognition. Frontiers in Molecular Neuroscience. 14. 664912–664912. 21 indexed citations
7.
Mattioli, Kaia, Chiara Gerhardinger, Daniel Andergassen, et al.. (2020). Cis and trans effects differentially contribute to the evolution of promoters and enhancers. Genome biology. 21(1). 210–210. 33 indexed citations
8.
Mattioli, Kaia, Pieter‐Jan Volders, Chiara Gerhardinger, et al.. (2019). High-throughput functional analysis of lncRNA core promoters elucidates rules governing tissue specificity. Genome Research. 29(3). 344–355. 92 indexed citations
9.
Maass, Philipp G., Anja Weise, A. Rasim Barutcu, et al.. (2018). Reorganization of inter‐ chromosomal interactions in the 2q37‐deletion syndrome. The EMBO Journal. 37(15). 12 indexed citations
10.
Barutcu, A. Rasim, Philipp G. Maass, Jordan P. Lewandowski, Catherine L. Weiner, & John L. Rinn. (2018). A TAD boundary is preserved upon deletion of the CTCF-rich Firre locus. Nature Communications. 9(1). 1444–1444. 80 indexed citations
11.
Shukla, Chinmay, Chiara Gerhardinger, Keegan Korthauer, et al.. (2018). High‐throughput identification of RNA nuclear enrichment sequences. The EMBO Journal. 37(6). 96 indexed citations
12.
Maass, Philipp G., et al.. (2018). Inter-chromosomal Contact Properties in Live-Cell Imaging and in Hi-C. Molecular Cell. 69(6). 1039–1045.e3. 53 indexed citations
13.
Maass, Philipp G., Petar Glažar, Sebastian Memczak, et al.. (2017). A map of human circular RNAs in clinically relevant tissues. Journal of Molecular Medicine. 95(11). 1179–1189. 266 indexed citations
14.
Maass, Philipp G., A. Rasim Barutcu, David M Shechner, et al.. (2017). Spatiotemporal allele organization by allele-specific CRISPR live-cell imaging (SNP-CLING). Nature Structural & Molecular Biology. 25(2). 176–184. 66 indexed citations
15.
Maass, Philipp G., Friedrich C. Luft, & Sylvia Bähring. (2014). Long non-coding RNA in health and disease. Journal of Molecular Medicine. 92(4). 337–346. 198 indexed citations
16.
Maass, Philipp G.. (2014). Lange nichtkodierende RNA (lncRNA). Medizinische Genetik. 26(1). 5–10. 1 indexed citations
17.
Maass, Philipp G., Andreas Rump, Herbert Schulz, et al.. (2012). A misplaced lncRNA causes brachydactyly in humans. Journal of Clinical Investigation. 122(11). 3990–4002. 88 indexed citations
18.
Maass, Philipp G., Jutta Wirth, Atakan Aydın, et al.. (2009). A cis-regulatory site downregulates PTHLH in translocation t(8;12)(q13;p11.2) and leads to Brachydactyly Type E. Human Molecular Genetics. 19(5). 848–860. 47 indexed citations
19.
Barta, Péter, Jan Monti, Philipp G. Maass, et al.. (2002). A gene expression analysis in rat kidney following high and low salt intake. Journal of Hypertension. 20(6). 1115–1120. 14 indexed citations
20.
Gollasch, Maik, Jens Tank, Friedrich C. Luft, et al.. (2002). The BK channel β1 subunit gene is associated with human baroreflex and blood pressure regulation. Journal of Hypertension. 20(5). 927–933. 51 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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