Marcus Bosenberg

6.3k citations
20 papers · 1.2k indexed · 1 hit paper · h-index 13
Topics
Melanoma and MAPK Pathways (5 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)Mathematical Biology Tumor Growth (2 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Marcus Bosenberg

18 papers receiving 1.2k citations

Hit Papers

Therapy-induced tumour secretomes promote resistance and ...20152026201820222015100200300

Peers

Marcus Bosenberg
Comparison fields: 5 of 84
  • Molecular Biology 801
  • Oncology 384
  • Cancer Research 322
  • Immunology 188
  • Cell Biology 142
Replace Motoyoshi Tanaka with:
Motoyoshi Tanaka Japan
Joana Figueiredo Portugal
Victoria da Silva-Diz United States
Andreas Menrad Germany
Angelo De Marzo United States
Molly A. Taylor United States
Liqin Zhu United States
Grant Wickman Canada
Colin R. Lindsay United Kingdom
David Nittner Belgium
Marcus Bosenberg relative to Motoyoshi Tanaka Japan Motoyoshi Tanaka's profile →
Citations per field
00.5×1.5×2.3×
Motoyoshi Tanaka · 1×
Citations per year

Countries citing papers authored by Marcus Bosenberg

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Bosenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Bosenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Bosenberg. A scholar is included among the top collaborators of Marcus Bosenberg 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 Marcus Bosenberg. Marcus Bosenberg 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 3
2 3
3 27
4 0
5 74
6
Modeling the Spatiotemporal Evolution of the Melanoma Tumor Microenvironment
1
7 26
8
Computational modeling of the spatiotemporal dynamics of cancer stem cells
1
9
Therapy-induced tumour secretomes promote resistance and tumour progressionbreakdown →
364
10 13
11 0
12 3
13 23
14 13
15 132
16 35
17 82
18 137
19 193
20 110

About Marcus Bosenberg

Marcus Bosenberg is a scholar working on Modeling and Simulation, Ophthalmology and Molecular Biology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Mathematical Biology Tumor Growth (2 papers). The work is most often cited by research in Cancer Research (322 citations), Oncology (384 citations) and Molecular Biology (801 citations). Marcus Bosenberg has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include William Damsky, Hubing Shi, Joan Massagué, Viswanathan Muthusamy, Xiangju Kong, Weiping Shu, Sakari Vanharanta, Yilong Zou, Roger S. Lo and Neal Rosen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The EMBO Journal.

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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