Koen Debackere

34 total papers · 2.3k total citations
14 papers, 1.1k citations indexed

About

Koen Debackere is a scholar working on Molecular Biology, Political Science and International Relations and Genetics. According to data from OpenAlex, Koen Debackere has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Political Science and International Relations and 3 papers in Genetics. Recurrent topics in Koen Debackere's work include Lymphoma Diagnosis and Treatment (3 papers), T-cell and Retrovirus Studies (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). Koen Debackere is often cited by papers focused on Lymphoma Diagnosis and Treatment (3 papers), T-cell and Retrovirus Studies (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). Koen Debackere collaborates with scholars based in Belgium, Switzerland and United States. Koen Debackere's co-authors include Massimiliano Mazzone, Julijana Ivanišević, Ping‐Chih Ho, Hsien‐Da Huang, Wan-Chen Cheng, Stefan Christen, Haiping Wang, Xiaoyun Li, Magdaléna Vaváková and Tung Chao and has published in prestigious journals such as Nature Communications, Blood and Nature Immunology.

In The Last Decade

Koen Debackere

12 papers receiving 1.1k citations

Hit Papers

α-ketoglutarate orchestra... 2017 2026 2020 2023 2017 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Koen Debackere 567 489 257 126 122 14 1.1k
Ke Xu 539 1.0× 478 1.0× 304 1.2× 92 0.7× 213 1.7× 17 1.1k
Saritha Kusam 588 1.0× 347 0.7× 157 0.6× 142 1.1× 192 1.6× 17 1.0k
Divino Deoliveira 767 1.4× 338 0.7× 218 0.8× 93 0.7× 253 2.1× 19 1.3k
Kaavya Paruchuri 377 0.7× 473 1.0× 173 0.7× 132 1.0× 79 0.6× 19 1.1k
Akihiro Iemura 358 0.6× 441 0.9× 215 0.8× 94 0.7× 243 2.0× 19 1.1k
O Cecconi 346 0.6× 603 1.2× 167 0.6× 85 0.7× 187 1.5× 11 1.4k
Jay McQuillan 387 0.7× 697 1.4× 292 1.1× 66 0.5× 251 2.1× 15 1.4k
Youqi Han 306 0.5× 775 1.6× 288 1.1× 131 1.0× 196 1.6× 16 1.4k
Cathrine Hall 517 0.9× 969 2.0× 178 0.7× 145 1.2× 239 2.0× 18 1.4k
Juan Guinea‐Viniegra 543 1.0× 734 1.5× 238 0.9× 127 1.0× 338 2.8× 18 1.5k

Countries citing papers authored by Koen Debackere

Since Specialization
Citations

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

Fields of papers citing papers by Koen Debackere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koen Debackere

This figure shows the co-authorship network connecting the top 25 collaborators of Koen Debackere. A scholar is included among the top collaborators of Koen Debackere 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 Koen Debackere. Koen Debackere 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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