Martin Sill

18.2k citations
71 papers · 1.8k indexed · h-index 23
Topics
Glioma Diagnosis and Treatment (38 papers)Epigenetics and DNA Methylation (19 papers)Cancer Genomics and Diagnostics (13 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Martin Sill

65 papers receiving 1.8k citations

Peers

Martin Sill
Comparison fields: 5 of 117
  • Genetics 796
  • Molecular Biology 678
  • Radiology, Nuclear Medicine and Imaging 533
  • Cancer Research 403
  • Pulmonary and Respiratory Medicine 334
Replace Aliasgar Moiyadi with:
Aliasgar Moiyadi India
MacLean P. Nasrallah United States
Sridhar Epari India
Zenghui Qian China
Corey Neff United States
Leland Hu United States
Adelheid Wöehrer Austria
Cathy Philippe France
R. Jena United Kingdom
Stephen Yip Canada
Martin Sill relative to Aliasgar Moiyadi India Aliasgar Moiyadi's profile →
Citations per field
00.5×1.5×
Aliasgar Moiyadi · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 10
3 1
4 0
5 0
6 23
7 2
8 2
9 3
10 4
11 30
12 24
13 59
14 206
15 42
16 1
17 9
18 5
19 121
20 73

About Martin Sill

Martin Sill is a scholar working on Genetics, Cancer Research and Health Informatics, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (38 papers), Epigenetics and DNA Methylation (19 papers) and Cancer Genomics and Diagnostics (13 papers). The work is most often cited by research in Genetics (796 citations), Cancer Research (403 citations) and Radiology, Nuclear Medicine and Imaging (533 citations). Martin Sill has collaborated with scholars based in Germany, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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