Mathias Montenarh

5.6k citations
201 papers · 4.6k indexed · h-index 35
Topics
Cancer-related Molecular Pathways (61 papers)Protein Kinase Regulation and GTPase Signaling (27 papers)Microtubule and mitosis dynamics (22 papers)
Partner nations
GermanyPolandSyria

In The Last Decade

Mathias Montenarh

200 papers receiving 4.4k citations

Peers

Mathias Montenarh
Comparison fields: 5 of 128
  • Molecular Biology 3.0k
  • Oncology 1.6k
  • Cell Biology 584
  • Cancer Research 422
  • Genetics 415
Replace Grazia Ambrosini with:
Grazia Ambrosini United States
Kiyotsugu Yoshida Japan
Stanley Lipkowitz United States
Gen Sheng Wu United States
Laura Gatti Italy
Russell E. Morris United Kingdom
Vivek M. Rangnekar United States
Lee M. Greenberger United States
Uwe Zangemeister‐Wittke Switzerland
Gong Yang China
Mathias Montenarh relative to Grazia Ambrosini United States Grazia Ambrosini's profile →
Citations per field
00.5×1.7×
Grazia Ambrosini · 1×
Citations per year

Countries citing papers authored by Mathias Montenarh

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Montenarh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Montenarh

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Montenarh. A scholar is included among the top collaborators of Mathias Montenarh 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 Mathias Montenarh. Mathias Montenarh 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 1
3 5
4 3
5 10
6 4
7 24
8 10
9 29
10 73
11 26
12 24
13 7
14 5
15 32
16 31
17 11
18 59
19 6
20 14

About Mathias Montenarh

Mathias Montenarh is a scholar working on Oncology, Cell Biology and Molecular Biology, having authored 201 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (61 papers), Protein Kinase Regulation and GTPase Signaling (27 papers) and Microtubule and mitosis dynamics (22 papers). The work is most often cited by research in Oncology (1.6k citations), Molecular Biology (3.0k citations) and Cell Biology (584 citations). Mathias Montenarh has collaborated with scholars based in Germany, Poland and Syria. Frequent co-authors include Claudia Götz, Michael Faust, Stefan Kraiss, Roland Henning, Andreas Lorenz, Norbert Schuster, Peter Schmid, Moshe Oren, H. Hameister and Rolf Appel. Their work appears in journals such as The EMBO Journal, Development and Biochemistry.

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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