Matthias Schlesner

55.1k citations
94 papers · 9.7k indexed · 2 hit papers · h-index 24
Topics
Cancer Genomics and Diagnostics (16 papers)Genetic factors in colorectal cancer (11 papers)Bioinformatics and Genomic Networks (10 papers)

In The Last Decade

Matthias Schlesner

87 papers receiving 9.7k citations

Hit Papers

Complex heatmaps reveal patterns and correlations in mult...20142026201820222016201410002.0k3.0k4.0k5.0k

Peers

Matthias Schlesner
Comparison fields: 5 of 206
  • Molecular Biology 4.8k
  • Cancer Research 1.3k
  • Oncology 1.3k
  • Immunology 1.3k
  • Plant Science 1.1k
Replace Lang Zhou with:
Lang Zhou China
Zuguang Gu Germany
Cheng Li China
Li Zhan China
Benedikt Brors Germany
Shuangbin Xu China
Meijun Chen China
Erqiang Hu China
Tianzhi Wu China
Xiao Liu China
Matthias Schlesner relative to Lang Zhou China Lang Zhou's profile →
Citations per field
00.5×4.7×
Lang Zhou · 1×
Citations per year

Countries citing papers authored by Matthias Schlesner

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Schlesner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Schlesner

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Schlesner. A scholar is included among the top collaborators of Matthias Schlesner 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 Matthias Schlesner. Matthias Schlesner 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 0
2 26
3 1
4 1
5 0
6 0
7 30
8 7
9 5
10 1
11 75
12 0
13 21
14 9
15 4
16 6
17 17
18 14
19 62
20 14

About Matthias Schlesner

Matthias Schlesner is a scholar working on Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 94 papers that have together received 9.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (16 papers), Genetic factors in colorectal cancer (11 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (4.8k citations) and Immunology (1.3k citations). Matthias Schlesner has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Roland Eils, Zuguang Gu, Benedikt Brors, Lei Gu, Naveed Ishaque, Bjoern Titz, Peter Uetz, Nagarajan Paramasivam, Reiner Siebert and Stefan Wiemann. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

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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