Janik Puttemans

628 total citations
17 papers, 504 citations indexed

About

Janik Puttemans is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Janik Puttemans has authored 17 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Janik Puttemans's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Radiopharmaceutical Chemistry and Applications (8 papers) and Nanoparticle-Based Drug Delivery (3 papers). Janik Puttemans is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Radiopharmaceutical Chemistry and Applications (8 papers) and Nanoparticle-Based Drug Delivery (3 papers). Janik Puttemans collaborates with scholars based in Belgium, Netherlands and Germany. Janik Puttemans's co-authors include Nick Devoogdt, Tony Lahoutte, Matthias D’Huyvetter, Marleen Keyaerts, Yana Dekempeneer, Serge Muyldermans, Ahmet Krasniqi, Karine Breckpot, Pieterjan Debie and Cleo Goyvaerts and has published in prestigious journals such as International Journal of Molecular Sciences, Annals of Oncology and Frontiers in Immunology.

In The Last Decade

Janik Puttemans

16 papers receiving 499 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Janik Puttemans Belgium 11 340 179 157 111 95 17 504
Ahmet Krasniqi Belgium 12 369 1.1× 156 0.9× 178 1.1× 86 0.8× 89 0.9× 14 492
Shani L. Frayo United States 11 286 0.8× 182 1.0× 121 0.8× 58 0.5× 95 1.0× 23 530
Atsushi Doi Japan 12 337 1.0× 99 0.6× 118 0.8× 106 1.0× 83 0.9× 18 657
Johannes Heemskerk Belgium 8 641 1.9× 295 1.6× 369 2.4× 166 1.5× 76 0.8× 12 849
Kendall Morrison United States 10 87 0.3× 89 0.5× 119 0.8× 74 0.7× 87 0.9× 20 397
Renate Parry United States 11 133 0.4× 166 0.9× 160 1.0× 160 1.4× 159 1.7× 15 499
Marjolijn N. Lub‐de Hooge Netherlands 12 345 1.0× 129 0.7× 274 1.7× 79 0.7× 69 0.7× 25 516
Casey Moore United States 9 73 0.2× 191 1.1× 253 1.6× 315 2.8× 65 0.7× 16 536
Radosław Szmyd Singapore 7 81 0.2× 267 1.5× 136 0.9× 76 0.7× 96 1.0× 9 508
Katherine D. Castle United States 11 104 0.3× 137 0.8× 101 0.6× 33 0.3× 121 1.3× 13 401

Countries citing papers authored by Janik Puttemans

Since Specialization
Citations

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

Fields of papers citing papers by Janik Puttemans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janik Puttemans

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

All Works

17 of 17 papers shown
1.
Groof, Timo W.M. De, Pieterjan Debie, Janik Puttemans, et al.. (2024). Generation and Characterization of Novel Pan‐Cancer Anti‐uPAR Fluorescent Nanobodies as Tools for Image‐Guided Surgery. Advanced Science. 11(30). e2400700–e2400700. 6 indexed citations
3.
Puttemans, Janik, et al.. (2024). Anti-Idiotypic VHHs and VHH-CAR-T Cells to Tackle Multiple Myeloma: Different Applications Call for Different Antigen-Binding Moieties. International Journal of Molecular Sciences. 25(11). 5634–5634. 3 indexed citations
4.
Krasniqi, Ahmet, Janik Puttemans, Yana Dekempeneer, et al.. (2023). Targeted α-Therapy Using225Ac Radiolabeled Single-Domain Antibodies Induces Antigen-Specific Immune Responses and Instills Immunomodulation Both Systemically and at the Tumor Microenvironment. Journal of Nuclear Medicine. 64(5). 751–758. 21 indexed citations
5.
Puttemans, Janik. (2022). The road to personalized myeloma medicine. VUBIR (Vrije Universiteit Brussel). 20 indexed citations
6.
Lecocq, Quentin, Pieterjan Debie, Janik Puttemans, et al.. (2021). Evaluation of single domain antibodies as nuclear tracers for imaging of the immune checkpoint receptor human lymphocyte activation gene-3 in cancer. EJNMMI Research. 11(1). 115–115. 9 indexed citations
7.
Vlaminck, Karen De, Ema Romão, Janik Puttemans, et al.. (2021). Imaging of Glioblastoma Tumor-Associated Myeloid Cells Using Nanobodies Targeting Signal Regulatory Protein Alpha. Frontiers in Immunology. 12. 777524–777524. 26 indexed citations
8.
Debie, Pieterjan, Danny M. van Willigen, Jessica Bridoux, et al.. (2021). The Design and Preclinical Evaluation of a Single-Label Bimodal Nanobody Tracer for Image-Guided Surgery. Biomolecules. 11(3). 360–360. 10 indexed citations
9.
Puttemans, Janik, Sophie Hernot, Geert Raes, et al.. (2021). Decorating sdAbs with Chelators: Effect of Conjugation on Biodistribution and Functionality. Pharmaceuticals. 14(5). 407–407. 5 indexed citations
10.
Veirman, Kim De, Janik Puttemans, Ahmet Krasniqi, et al.. (2021). CS1-specific single-domain antibodies labeled with Actinium-225 prolong survival and increase CD8+ T cells and PD-L1 expression in Multiple Myeloma. OncoImmunology. 10(1). 2000699–2000699. 18 indexed citations
11.
Puttemans, Janik, Yana Dekempeneer, Jos Eersels, et al.. (2020). Preclinical Targeted α- and β−-Radionuclide Therapy in HER2-Positive Brain Metastasis Using Camelid Single-Domain Antibodies. Cancers. 12(4). 1017–1017. 55 indexed citations
12.
Puttemans, Janik, Matthias D’Huyvetter, Albert D. Windhorst, Tony Lahoutte, & Nick Devoogdt. (2019). CAM-H2 effectively targets and treats HER2 positive brain lesions: A comparative preclinical study with trastuzumab. Annals of Oncology. 30. iii59–iii59. 4 indexed citations
13.
Dekempeneer, Yana, Tom Bäck, Emma Aneheim, et al.. (2019). Labeling of Anti-HER2 Nanobodies with Astatine-211: Optimization and the Effect of Different Coupling Reagents on Their in Vivo Behavior. Molecular Pharmaceutics. 16(8). 3524–3533. 48 indexed citations
14.
Puttemans, Janik, Tony Lahoutte, Matthias D’Huyvetter, & Nick Devoogdt. (2019). Beyond the Barrier: Targeted Radionuclide Therapy in Brain Tumors and Metastases. Pharmaceutics. 11(8). 376–376. 20 indexed citations
15.
Debie, Pieterjan, Marian Vanhoeij, Janik Puttemans, et al.. (2017). Improved Debulking of Peritoneal Tumor Implants by Near-Infrared Fluorescent Nanobody Image Guidance in an Experimental Mouse Model. Molecular Imaging and Biology. 20(3). 361–367. 44 indexed citations
16.
Broos, Katrijn, Kevin Van der Jeught, Janik Puttemans, et al.. (2016). Particle-mediated Intravenous Delivery of Antigen mRNA Results in Strong Antigen-specific T-cell Responses Despite the Induction of Type I Interferon. Molecular Therapy — Nucleic Acids. 5(6). e326–e326. 89 indexed citations
17.
Dekempeneer, Yana, Marleen Keyaerts, Ahmet Krasniqi, et al.. (2016). Targeted alpha therapy using short-lived alpha-particles and the promise of nanobodies as targeting vehicle. Expert Opinion on Biological Therapy. 16(8). 1035–1047. 126 indexed citations

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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