Matthias Grauert

2.0k citations
18 papers · 1.6k · 1 hit paper · h-index 12

Impact in

    • Microtubule and mitosis dynamics
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

Matthias Grauert

17 papers receiving 1.6k citations

Matthias Grauert's Hit Papers

BI 2536, a Potent and Selective Inhibitor of Polo-like Kinase 1, Inhibits Tumor Growth In Vivo 2007 · 691 citations
6910+6+12Years since publication200400600

Peers

Matthias Grauert
Comparison fields: 5 of 92
  • Cell Biology 652
  • Oncology 469
  • Molecular Biology 1.1k
  • Hematology 117
  • Cellular and Molecular Neuroscience 176
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Citations per year

Countries citing papers authored by Matthias Grauert

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Grauert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthias Grauert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthias Grauert Line = papers co-authored together Matthias Grauert links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
BI 2536, a Potent and Selective Inhibitor of Polo-like Kinase 1, Inhibits Tumor Growth In Vivo
Hit paper breakdown →
2007691
2 2009322
3 2006251
4 201052
5 198544
6 200142
7 200040
8 199939
9 198535
10 201030
11 199717
12 200211
13 199510
14 20029
15 20085
16 19984
17 20011
18 20160

About Matthias Grauert

Matthias Grauert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Pharmacology and Oncology, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Ion channel regulation and function (4 papers), Cancer Treatment and Pharmacology (2 papers), Analytical Chemistry and Chromatography (2 papers), Chemical Synthesis and Analysis (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Microtubule and mitosis dynamics (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cell Biology (652 citations), Oncology (469 citations), Molecular Biology (1.1k citations), Hematology (117 citations) and Cellular and Molecular Neuroscience (176 citations). Matthias Grauert has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Matthias Hoffmann, Martin Steegmaier, Jens Quant, Pilar Garin‐Chesa, Anke Baum, Günther R. Adolf, Ulrich Gürtler, Wolfgang J. Rettig, Jan‐Michael Peters and Simone Lieb. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, Clinical Cancer Research, Current Biology and Neuroscience.

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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