Mads Gabrielsen

2.1k total citations
47 papers, 1.5k citations indexed

About

Mads Gabrielsen is a scholar working on Molecular Biology, Materials Chemistry and Oncology. According to data from OpenAlex, Mads Gabrielsen has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 8 papers in Materials Chemistry and 7 papers in Oncology. Recurrent topics in Mads Gabrielsen's work include Ubiquitin and proteasome pathways (8 papers), Enzyme Structure and Function (8 papers) and Protein Degradation and Inhibitors (5 papers). Mads Gabrielsen is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Enzyme Structure and Function (8 papers) and Protein Degradation and Inhibitors (5 papers). Mads Gabrielsen collaborates with scholars based in United Kingdom, Canada and Germany. Mads Gabrielsen's co-authors include Ole Morten Seternes, Stephen M. Keyse, Danny T. Huang, Brian O. Smith, Gary Sibbet, Lori Buetow, William N. Hunter, Richard J. Cogdell, Olwyn Byron and Andrew J. Roe and has published in prestigious journals such as Nature, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Mads Gabrielsen

47 papers receiving 1.5k citations

Peers

Mads Gabrielsen
Comparison fields: 5 of 104
  • Molecular Biology 1.0k
  • Oncology 245
  • Infectious Diseases 149
  • Immunology 140
  • Cell Biology 139
Replace Christian Löw with:
Christian Löw Germany
Karim M. ElSawy United Kingdom
Alexandre Wohlkönig Belgium
Keehyoung Joo South Korea
Eric R. Geertsma Germany
Shashi Bhushan Singapore
Stephen R. Comeau United States
Changwen Jin China
Ryan Brenke United States
Howook Hwang United States
Christian Löw Germany View profile →
Citations per field, relative to Mads Gabrielsen
Mads Gabrielsen · 1×
Citations per year, relative to Mads Gabrielsen
Mads Gabrielsen · 1×

Countries citing papers authored by Mads Gabrielsen

Since Specialization
Citations

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

Fields of papers citing papers by Mads Gabrielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mads Gabrielsen

This figure shows the co-authorship network connecting the top 25 collaborators of Mads Gabrielsen. A scholar is included among the top collaborators of Mads Gabrielsen 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 Mads Gabrielsen. Mads Gabrielsen 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
# Work Indexed citations
1 3
2 18
3 30
4 8
5 67
6 55
7 5
8 4
9 39
10 104
11 34
12 10
13 21
14 2
15 17
16 5
17 33
18 9
19 4
20 239

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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