Markus Ruschhaupt

40 total papers · 913 total citations
17 papers, 702 citations indexed

About

Markus Ruschhaupt is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Markus Ruschhaupt has authored 17 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Cancer Research. Recurrent topics in Markus Ruschhaupt's work include Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (4 papers) and RNA Research and Splicing (3 papers). Markus Ruschhaupt is often cited by papers focused on Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (4 papers) and RNA Research and Splicing (3 papers). Markus Ruschhaupt collaborates with scholars based in Germany, United States and Austria. Markus Ruschhaupt's co-authors include Annemarie Poustka, Holger Sültmann, Ruprecht Kuner, Andreas Buneß, Ulrich Mansmann, Wolfgang Huber, Michael Meister, Elizabeth C. Xu, Hans Hoffmann and Thomas Muley and has published in prestigious journals such as Bioinformatics, Journal of the American College of Cardiology and International Journal of Cancer.

In The Last Decade

Markus Ruschhaupt

17 papers receiving 691 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 Ruschhaupt 436 123 116 106 92 17 702
Don Wolfgeher 463 1.1× 84 0.7× 88 0.8× 125 1.2× 140 1.5× 13 894
Xianghuai Lu 395 0.9× 129 1.0× 104 0.9× 97 0.9× 38 0.4× 11 704
Mary W. Ferris 380 0.9× 104 0.8× 108 0.9× 171 1.6× 55 0.6× 21 738
Markus Haak 406 0.9× 75 0.6× 68 0.6× 62 0.6× 101 1.1× 23 733
Nhat‐Tu Le 471 1.1× 134 1.1× 113 1.0× 69 0.7× 100 1.1× 22 827
Xingli Dong 387 0.9× 74 0.6× 200 1.7× 74 0.7× 40 0.4× 17 726
Sudeep Chandra 242 0.6× 155 1.3× 84 0.7× 89 0.8× 63 0.7× 23 672
Pu Zhang 450 1.0× 199 1.6× 112 1.0× 52 0.5× 38 0.4× 18 874
Hideyuki Higashi 285 0.7× 144 1.2× 99 0.9× 119 1.1× 216 2.3× 24 685
Alex Bell 355 0.8× 189 1.5× 59 0.5× 71 0.7× 119 1.3× 12 637

Countries citing papers authored by Markus Ruschhaupt

Since Specialization
Citations

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

Fields of papers citing papers by Markus Ruschhaupt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Ruschhaupt

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Ruschhaupt. A scholar is included among the top collaborators of Markus Ruschhaupt 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 Ruschhaupt. Markus Ruschhaupt 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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