Markus Glaß

69 total papers · 1.7k total citations
32 papers, 1.2k citations indexed

About

Markus Glaß is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Markus Glaß has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Cancer Research and 7 papers in Immunology. Recurrent topics in Markus Glaß's work include Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (13 papers) and RNA Research and Splicing (12 papers). Markus Glaß is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (13 papers) and RNA Research and Splicing (12 papers). Markus Glaß collaborates with scholars based in Germany, United States and South Korea. Markus Glaß's co-authors include Stefan Hüttelmaier, Marcell Lederer, Nadine Bley, Simon Müller, Tommy Fuchs, Jacob Haase, Danny Misiak, Bianca Busch, Claudia Reinke and Jianjun Chen and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Markus Glaß

31 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Markus Glaß 1.0k 606 106 92 64 32 1.2k
Nadine Bley 1.2k 1.2× 789 1.3× 95 0.9× 48 0.5× 58 0.9× 20 1.4k
Akihiko Ishimura 1.0k 1.0× 458 0.8× 159 1.5× 52 0.6× 39 0.6× 32 1.1k
Songcheng Zhu 1.2k 1.1× 464 0.8× 171 1.6× 118 1.3× 42 0.7× 35 1.3k
Kristoffer Vitting‐Seerup 1.2k 1.2× 374 0.6× 97 0.9× 43 0.5× 95 1.5× 31 1.5k
Zeyou Wang 987 1.0× 834 1.4× 86 0.8× 63 0.7× 95 1.5× 37 1.3k
Marcel Köhn 1.2k 1.1× 670 1.1× 91 0.9× 42 0.5× 61 1.0× 20 1.3k
Stefano de Pretis 970 1.0× 373 0.6× 140 1.3× 51 0.6× 72 1.1× 28 1.1k
Silvia Nuzzo 844 0.8× 430 0.7× 83 0.8× 26 0.3× 101 1.6× 37 1.1k
Irina Elcheva 1.1k 1.1× 442 0.7× 182 1.7× 112 1.2× 120 1.9× 26 1.2k
Kaori Takai 1.3k 1.2× 236 0.4× 223 2.1× 67 0.7× 35 0.5× 21 1.5k

Countries citing papers authored by Markus Glaß

Since Specialization
Citations

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

Fields of papers citing papers by Markus Glaß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Glaß

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

All Works

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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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