Max Schubach

4.5k total citations · 2 hit papers
29 papers, 1.7k citations indexed

About

Max Schubach is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Max Schubach has authored 29 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Max Schubach's work include RNA and protein synthesis mechanisms (9 papers), Genomics and Chromatin Dynamics (8 papers) and Genomics and Rare Diseases (6 papers). Max Schubach is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Genomics and Chromatin Dynamics (8 papers) and Genomics and Rare Diseases (6 papers). Max Schubach collaborates with scholars based in Germany, United States and Italy. Max Schubach's co-authors include Martin Kircher, Jay Shendure, Philipp Rentzsch, Peter N. Robinson, Tomasz Żemojtel, Marten Jäger, Giorgio Valentini, Sebastian Köhler, Julius O.B. Jacobsen and Nicole Washington and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Max Schubach

27 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores

2021 320 citations Max Schubach, Jay Shendure et al. Genome Medicine profile →
CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions

2024 112 citations Max Schubach, Thorben Maaß et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Max Schubach Germany	17	1.1k	734	172	120	102	29	1.7k
Wenwu Cui United States	11	1.4k 1.3×	567 0.8×	226 1.3×	57 0.5×	144 1.4×	16	2.0k
Siavash Fazel Darbandi United States	11	1.0k 0.9×	602 0.8×	135 0.8×	33 0.3×	72 0.7×	13	1.6k
Philipp Rentzsch Germany	3	1.3k 1.2×	1.1k 1.5×	234 1.4×	56 0.5×	134 1.3×	6	2.2k
Amirali Kia United States	4	909 0.8×	484 0.7×	126 0.7×	33 0.3×	65 0.6×	5	1.3k
Grace Schwartz United States	5	873 0.8×	485 0.7×	123 0.7×	33 0.3×	63 0.6×	7	1.3k
Sofia Kyriazopoulou Panagiotopoulou Greece	2	849 0.8×	476 0.6×	117 0.7×	33 0.3×	63 0.6×	2	1.3k
Margherita Mutarelli Italy	25	1.3k 1.2×	394 0.5×	406 2.4×	88 0.7×	111 1.1×	45	1.8k
Shanmuga Chitipiralla United States	2	1.1k 1.0×	787 1.1×	289 1.7×	27 0.2×	59 0.6×	4	1.7k
Baoshan Gu United States	2	1.1k 1.0×	780 1.1×	289 1.7×	27 0.2×	57 0.6×	4	1.7k

Countries citing papers authored by Max Schubach

Since Specialization

Citations

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

Fields of papers citing papers by Max Schubach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Schubach

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

All Works

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20 of 20 papers shown

Kosicki, Michael, Dianne Laboy Cintrón, Max Schubach, et al.. (2025). Massively parallel reporter assays and mouse transgenic assays provide correlated and complementary information about neuronal enhancer activity. Nature Communications. 16(1). 4786–4786. 4 indexed citations

Rosen, Jonathan D., et al.. (2025). Using individual barcodes to increase quantification power of massively parallel reporter assays. BMC Bioinformatics. 26(1). 52–52. 2 indexed citations

Agarwal, Vikram, Fumitaka Inoue, Max Schubach, et al.. (2025). Massively parallel characterization of transcriptional regulatory elements. Nature. 639(8054). 411–420. 16 indexed citations

Schubach, Max, et al.. (2024). CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions. Nucleic Acids Research. 52(D1). D1143–D1154. 112 indexed citations breakdown →

Cappelletti, Luca, Alessandro Petrini, Jessica Gliozzo, et al.. (2022). Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. BMC Bioinformatics. 23(S2). 154–154. 3 indexed citations

Petrini, Alessandro, Marco Mesiti, Max Schubach, et al.. (2020). parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants. GigaScience. 9(5). 9 indexed citations

Gordon, M. Grace, Fumitaka Inoue, Beth Martin, et al.. (2020). lentiMPRA and MPRAflow for high-throughput functional characterization of gene regulatory elements. Nature Protocols. 15(8). 2387–2412. 70 indexed citations

Schubach, Max, et al.. (2020). The impact of different negative training data on regulatory sequence predictions. PLoS ONE. 15(12). e0237412–e0237412. 8 indexed citations

Kircher, Martin, Chenling Xiong, Beth Martin, et al.. (2019). Saturation mutagenesis of twenty disease-associated regulatory elements at single base-pair resolution. Nature Communications. 10(1). 3583–3583. 131 indexed citations

10.

Holtgrewe, Manuel, Alexej Knaus, Jean Tori Pantel, et al.. (2018). Multisite de novo mutations in human offspring after paternal exposure to ionizing radiation. Scientific Reports. 8(1). 14611–14611. 22 indexed citations

11.

Hashimoto, Hisayoshi, Matthias Eyrich, Moritz Menzel, et al.. (2018). Immune monitoring and TCR sequencing of CD4 T cells in a long term responsive patient with metastasized pancreatic ductal carcinoma treated with individualized, neoepitope-derived multipeptide vaccines: a case report. Journal of Translational Medicine. 16(1). 23–23. 28 indexed citations

12.

Schubach, Max, Matteo Ré, Peter N. Robinson, & Giorgio Valentini. (2017). Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants. Scientific Reports. 7(1). 2959–2959. 57 indexed citations

13.

Notaro, Marco, Max Schubach, Peter N. Robinson, & Giorgio Valentini. (2017). Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods. BMC Bioinformatics. 18(1). 449–449. 21 indexed citations

14.

Jäger, Marten, Max Schubach, Tomasz Żemojtel, et al.. (2016). Alternate-locus aware variant calling in whole genome sequencing. Genome Medicine. 8(1). 130–130. 14 indexed citations

15.

Smedley, Damian, Julius O.B. Jacobsen, Marten Jäger, et al.. (2015). Next-generation diagnostics and disease-gene discovery with the Exomiser. Nature Protocols. 10(12). 2004–2015. 228 indexed citations

16.

Srivastava, Siddharth, Hartmut Engels, Ina Schanze, et al.. (2015). Loss-of-function variants in HIVEP2 are a cause of intellectual disability. European Journal of Human Genetics. 24(4). 556–561. 31 indexed citations

17.

Kettwig, Matthias, Max Schubach, Franz Zimmermann, et al.. (2015). From ventriculomegaly to severe muscular atrophy: Expansion of the clinical spectrum related to mutations in AIFM1. Mitochondrion. 21. 12–18. 51 indexed citations

18.

Peveling‐Oberhag, Jan, Claudia Döring, Dirk Walter, et al.. (2015). Whole exome sequencing of microdissected splenic marginal zone lymphoma: a study to discover novel tumor-specific mutations. BMC Cancer. 15(1). 773–773. 27 indexed citations

19.

Döcker, Dennis, Max Schubach, Moritz Menzel, et al.. (2013). Further delineation of the SATB2 phenotype. European Journal of Human Genetics. 22(8). 1034–1039. 68 indexed citations

20.

Mitra, Suparna, Max Schubach, & Daniel H. Huson. (2010). Short clones or long clones? A simulation study on the use of paired reads in metagenomics. BMC Bioinformatics. 11(S1). S12–S12. 16 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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