Maja Debulpaep

16 total papers · 1.4k total citations
10 papers, 1.1k citations indexed

About

Maja Debulpaep is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Maja Debulpaep has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Physiology. Recurrent topics in Maja Debulpaep's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Protein Structure and Dynamics (3 papers) and Alzheimer's disease research and treatments (3 papers). Maja Debulpaep is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Protein Structure and Dynamics (3 papers) and Alzheimer's disease research and treatments (3 papers). Maja Debulpaep collaborates with scholars based in Belgium, Switzerland and United Kingdom. Maja Debulpaep's co-authors include Joost Schymkowitz, Frédéric Rousseau, Ivo C. Martins, Louise C. Serpell, Kyle L. Morris, Sebastian Maurer‐Stroh, Manuela López de la Paz, Alastair Copland, Joke Reumers and Luís Serrano and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Maja Debulpaep

10 papers receiving 1.1k citations

Hit Papers

Exploring the sequence de... 2010 2026 2015 2020 2010 2010 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maja Debulpaep 720 628 141 115 111 10 1.1k
Ali Reza A. Ladiwala 632 0.9× 723 1.2× 130 0.9× 148 1.3× 166 1.5× 9 1.1k
William Garzon-Rodriguez 758 1.1× 775 1.2× 110 0.8× 115 1.0× 83 0.7× 12 1.4k
Luke Rajah 961 1.3× 991 1.6× 280 2.0× 193 1.7× 104 0.9× 9 1.5k
Amol Pawar 1.2k 1.6× 796 1.3× 214 1.5× 131 1.1× 64 0.6× 9 1.5k
Jessica Meinhardt 861 1.2× 1.1k 1.7× 284 2.0× 138 1.2× 141 1.3× 14 1.4k
Uri S. Ladror 734 1.0× 515 0.8× 89 0.6× 167 1.5× 110 1.0× 26 1.2k
Markus Tusche 652 0.9× 781 1.2× 196 1.4× 193 1.7× 133 1.2× 19 1.1k
Dana Kim Reed 689 1.0× 814 1.3× 167 1.2× 178 1.5× 177 1.6× 21 1.3k
P.J. Walsh 833 1.2× 519 0.8× 181 1.3× 85 0.7× 54 0.5× 10 1.1k
Stephen A. Gravina 838 1.2× 625 1.0× 48 0.3× 105 0.9× 97 0.9× 12 1.4k

Countries citing papers authored by Maja Debulpaep

Since Specialization
Citations

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

Fields of papers citing papers by Maja Debulpaep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Debulpaep

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Debulpaep. A scholar is included among the top collaborators of Maja Debulpaep 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 Maja Debulpaep. Maja Debulpaep is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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