Mathijs Baens

4.7k total citations · 1 hit paper
51 papers, 3.7k citations indexed

About

Mathijs Baens is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Mathijs Baens has authored 51 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Immunology and 15 papers in Cancer Research. Recurrent topics in Mathijs Baens's work include Lymphoma Diagnosis and Treatment (14 papers), NF-κB Signaling Pathways (13 papers) and Ubiquitin and proteasome pathways (10 papers). Mathijs Baens is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), NF-κB Signaling Pathways (13 papers) and Ubiquitin and proteasome pathways (10 papers). Mathijs Baens collaborates with scholars based in Belgium, United States and France. Mathijs Baens's co-authors include Peter Marynen, Iwona Włodarska, Herman Van den Berghe, Pieter J. Peeters, Judith Dierlamm, Christiane De Wolf‐Peeters, Anne Hagemeijer, Josiane Grosgeorge, Dieter K. Hossfeld and Heidi Noels and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Mathijs Baens

51 papers receiving 3.6k citations

Hit Papers

The Apoptosis Inhibitor Gene API2 and a Novel 18q Gene,ML... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers

Mathijs Baens
Comparison fields: 5 of 98
  • Molecular Biology 1.5k
  • Immunology 1.2k
  • Cancer Research 998
  • Oncology 959
  • Pathology and Forensic Medicine 842
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Wayne Tam United States
Daniel Mertens Germany
Jérôme Moreaux France
Mary L. Bath Australia
Rossana Trotta United States
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Citations per field, relative to Mathijs Baens
Mathijs Baens · 1×
Citations per year, relative to Mathijs Baens
Mathijs Baens · 1×

Countries citing papers authored by Mathijs Baens

Since Specialization
Citations

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

Fields of papers citing papers by Mathijs Baens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathijs Baens

This figure shows the co-authorship network connecting the top 25 collaborators of Mathijs Baens. A scholar is included among the top collaborators of Mathijs Baens 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 Mathijs Baens. Mathijs Baens 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 15
2 58
3 25
4 2
5 25
6 5
7 6
8 351
9 79
10 57
11 37
12 17
13 29
14 51
15 28
16 100
17 4
18 178
19 25
20 2

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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