Martin Sill

18.2k total citations
71 papers, 1.8k citations indexed

About

Martin Sill is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Martin Sill has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 41 papers in Genetics and 19 papers in Cancer Research. Recurrent topics in Martin Sill's work include Glioma Diagnosis and Treatment (38 papers), Epigenetics and DNA Methylation (19 papers) and Cancer Genomics and Diagnostics (13 papers). Martin Sill is often cited by papers focused on Glioma Diagnosis and Treatment (38 papers), Epigenetics and DNA Methylation (19 papers) and Cancer Genomics and Diagnostics (13 papers). Martin Sill collaborates with scholars based in Germany, United States and United Kingdom. Martin Sill's co-authors include Stefan M. Pfister, David Jones, Andreas von Deimling, David Capper, Axel Benner, Wolfgang Wick, Philipp Kickingereder, Antje Wick, David Bonekamp and Manuela Zucknick and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Martin Sill

65 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Sill Germany 23 796 678 533 403 334 71 1.8k
Aliasgar Moiyadi India 26 940 1.2× 802 1.2× 481 0.9× 380 0.9× 349 1.0× 167 2.3k
Sridhar Epari India 23 783 1.0× 599 0.9× 291 0.5× 293 0.7× 360 1.1× 198 1.9k
Corey Neff United States 11 993 1.2× 463 0.7× 269 0.5× 269 0.7× 368 1.1× 22 1.8k
Jordonna Fulop United States 2 929 1.2× 441 0.7× 250 0.5× 280 0.7× 292 0.9× 2 1.6k
MacLean P. Nasrallah United States 23 761 1.0× 319 0.5× 543 1.0× 242 0.6× 223 0.7× 97 1.5k
Leomar Y. Ballester United States 29 818 1.0× 752 1.1× 188 0.4× 449 1.1× 413 1.2× 108 1.9k
Mackenzie Price United States 8 921 1.2× 433 0.6× 234 0.4× 253 0.6× 325 1.0× 22 1.6k
Jason K. Rockhill United States 24 874 1.1× 285 0.4× 723 1.4× 347 0.9× 291 0.9× 54 2.1k
Jay‐Jiguang Zhu United States 25 1.0k 1.3× 384 0.6× 189 0.4× 344 0.9× 345 1.0× 88 1.7k
Xiaoguang Qiu China 19 726 0.9× 387 0.6× 210 0.4× 334 0.8× 295 0.9× 81 1.2k

Countries citing papers authored by Martin Sill

Since Specialization
Citations

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

Fields of papers citing papers by Martin Sill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Sill

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Sill. A scholar is included among the top collaborators of Martin Sill 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 Martin Sill. Martin Sill 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.
Sill, Martin, Rupert Öllinger, Enrique de Álava, et al.. (2025). Genomic and phenotypic stability of fusion-driven pediatric sarcoma cell lines. Nature Communications. 16(1). 380–380. 2 indexed citations
2.
Benfatto, Salvatore, Martin Sill, David Jones, et al.. (2025). Explainable artificial intelligence of DNA methylation-based brain tumor diagnostics. Nature Communications. 16(1). 1787–1787. 10 indexed citations
3.
Sill, Martin, Stefan M. Pfister, Simon Bailey, et al.. (2025). Robust molecular subgrouping and reference-free aneuploidy detection in medulloblastoma using low-depth whole genome bisulfite sequencing. Acta Neuropathologica Communications. 13(1). 132–132. 1 indexed citations
4.
Blattner-Johnson, Mirjam, Dominik Sturm, Steffen Hirsch, et al.. (2024). HGG-21. DISTRIBUTION AND MUTATIONAL PATTERNS OF TP53 ALTERATIONS ACROSS SUBTYPES OF PEDIATRIC HIGH-GRADE GLIOMAS. Neuro-Oncology. 26(Supplement_4). 0–0.
5.
Chun, Hye-Jung E., Karolina Nemes, Marlena Mucha, et al.. (2024). Clinical and Molecular Risk Factors in Extracranial Malignant Rhabdoid Tumors: Toward an Integrated Model of High-Risk Tumors. Clinical Cancer Research. 30(20). 4667–4680.
6.
Pérez, Eilís, Salvatore Benfatto, Martin Sill, et al.. (2024). Conumee 2.0: enhanced copy-number variation analysis from DNA methylation arrays for humans and mice. Bioinformatics. 40(2). 23 indexed citations
7.
Czech, Thomas, Andreas Peyrl, Christine Haberler, et al.. (2023). The Site of Origin of Medulloblastoma: Surgical Observations Correlated to Molecular Groups. Cancers. 15(19). 4877–4877. 2 indexed citations
8.
Reuß, David, Daniel Schrimpf, Damian Stichel, et al.. (2023). Reference on copy number variations in pleomorphic xanthoastrocytoma: Implications for diagnostic approach. SHILAP Revista de lepidopterología. 4. 19–19. 2 indexed citations
9.
Vícha, Aleš, Katerina Hadrava Vanova, David Sumerauer, et al.. (2022). Integrated genomic analysis reveals actionable targets in pediatric spinal cord low-grade gliomas. Acta Neuropathologica Communications. 10(1). 143–143. 3 indexed citations
10.
Voronina, Natalia, Thorsten Kolb, Andrey Korshunov, et al.. (2021). The age of adult pilocytic astrocytoma cells. Oncogene. 40(16). 2830–2841. 4 indexed citations
11.
Bale, Tejus, Sameer Farouk Sait, Jamal Benhamida, et al.. (2020). Malignant transformation of a polymorphous low grade neuroepithelial tumor of the young (PLNTY). Acta Neuropathologica. 141(1). 123–125. 30 indexed citations
12.
Dietz, Steffen, Aviezer Lifshitz, Daniel Kazdal, et al.. (2018). Global DNA methylation reflects spatial heterogeneity and molecular evolution of lung adenocarcinomas. International Journal of Cancer. 144(5). 1061–1072. 24 indexed citations
13.
Witt, Hendrik, Dorothee Gramatzki, Bettina Hentschel, et al.. (2018). DNA methylation-based classification of ependymomas in adulthood: implications for diagnosis and treatment. Neuro-Oncology. 20(12). 1616–1624. 59 indexed citations
14.
Kickingereder, Philipp, Michael Götz, John Muschelli, et al.. (2016). Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response. Clinical Cancer Research. 22(23). 5765–5771. 206 indexed citations
15.
Sill, Martin, Thomas Hielscher, Natália Becker, & Manuela Zucknick. (2014). c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models. Journal of Statistical Software. 62(5). 42 indexed citations
16.
Bloehdorn, Johannes, Martin Sill, Christian Langer, et al.. (2013). High CD52 mRNA Expression Is An Adverse Prognostic Factor In Fludarabine-Refractory CLL Treated With Alemtuzumab On The Gcllsg CLL2H Trial. Blood. 122(21). 1618–1618. 1 indexed citations
17.
Sill, Martin, et al.. (2012). Prognostic value of tumor progression-related gene expression in colorectal cancer patients. Journal of Cancer Research and Clinical Oncology. 138(10). 1631–1640. 9 indexed citations
18.
Hothorn, Ludwig A., Martin Sill, & Frank Schaarschmidt. (2010). Evaluation of Incidence Rates in Pre-Clinical Studies Using a Williams-Type Procedure. The International Journal of Biostatistics. 6(1). 5 indexed citations
19.
Gribov, Alexander, Martin Sill, Frank G. Rücker, et al.. (2010). SEURAT: Visual analytics for the integrated analysis of microarray data. BMC Medical Genomics. 3(1). 21–21. 121 indexed citations
20.
Schröder, Christoph, Anette Jacob, Sarah Tonack, et al.. (2010). Dual-color Proteomic Profiling of Complex Samples with a Microarray of 810 Cancer-related Antibodies. Molecular & Cellular Proteomics. 9(6). 1271–1280. 73 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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