Daniel Rosik

1.3k total citations
17 papers, 1.1k citations indexed

About

Daniel Rosik is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Daniel Rosik has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Daniel Rosik's work include Monoclonal and Polyclonal Antibodies Research (16 papers), Radiopharmaceutical Chemistry and Applications (13 papers) and Glycosylation and Glycoproteins Research (7 papers). Daniel Rosik is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), Radiopharmaceutical Chemistry and Applications (13 papers) and Glycosylation and Glycoproteins Research (7 papers). Daniel Rosik collaborates with scholars based in Sweden, Netherlands and United States. Daniel Rosik's co-authors include Vladimir Tolmachev, Anna Orlova, Mattias Sandström, Anna Sjöberg, Anders Wennborg, Lars Abrahmsén, Karl Andersson, Fredrik Nilsson, Joakim Galli and Hans Lundqvist and has published in prestigious journals such as Journal of Molecular Biology, Cancer Research and Bioconjugate Chemistry.

In The Last Decade

Daniel Rosik

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Rosik Sweden 15 931 459 437 90 72 17 1.1k
Dietmar Berndorff Germany 14 548 0.6× 326 0.7× 538 1.2× 76 0.8× 97 1.3× 18 1.0k
Helena Wållberg Sweden 18 859 0.9× 462 1.0× 305 0.7× 88 1.0× 41 0.6× 26 978
Anzhelika Vorobyeva Sweden 20 799 0.9× 499 1.1× 330 0.8× 122 1.4× 66 0.9× 73 1.0k
Mohamed Altai Sweden 23 1.1k 1.1× 580 1.3× 425 1.0× 151 1.7× 62 0.9× 42 1.3k
Ingmarie Höidén‐Guthenberg Sweden 17 987 1.1× 381 0.8× 808 1.8× 55 0.6× 148 2.1× 17 1.3k
Hadis Honarvar Sweden 20 698 0.7× 404 0.9× 309 0.7× 96 1.1× 27 0.4× 30 861
Vania Kenanova United States 15 675 0.7× 271 0.6× 360 0.8× 78 0.9× 96 1.3× 20 862
Bogdan Mitran Sweden 25 1.1k 1.2× 688 1.5× 370 0.8× 263 2.9× 41 0.6× 55 1.3k
Beatrice Langton-Webster United States 16 504 0.5× 749 1.6× 521 1.2× 165 1.8× 117 1.6× 27 1.2k
Fiona E. Smyth Australia 23 622 0.7× 625 1.4× 526 1.2× 162 1.8× 261 3.6× 39 1.3k

Countries citing papers authored by Daniel Rosik

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rosik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rosik

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Rosik. A scholar is included among the top collaborators of Daniel Rosik 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 Daniel Rosik. Daniel Rosik 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.
Rosik, Daniel, et al.. (2020). Photocontrolled Reversible Binding between the Protein A-Derived Z Domain and Immunoglobulin G. Bioconjugate Chemistry. 31(3). 622–630. 14 indexed citations
2.
Orlova, Anna, Andreas Jonsson, Daniel Rosik, et al.. (2013). Site-Specific Radiometal Labeling and Improved Biodistribution Using ABY-027, A Novel HER2-Targeting Affibody Molecule–Albumin-Binding Domain Fusion Protein. Journal of Nuclear Medicine. 54(6). 961–968. 77 indexed citations
3.
Honarvar, Hadis, Karl Andersson, Jennie Malmberg, et al.. (2013). Evaluation of backbone-cyclized HER2-binding 2-helix Affibody molecule for In Vivo molecular imaging. Nuclear Medicine and Biology. 40(3). 378–386. 16 indexed citations
5.
Rosik, Daniel, Alf Thibblin, Gunnar Antoni, et al.. (2013). Incorporation of a Triglutamyl Spacer Improves the Biodistribution of Synthetic Affibody Molecules Radiofluorinated at the N-Terminus via Oxime Formation with 18F-4-Fluorobenzaldehyde. Bioconjugate Chemistry. 25(1). 82–92. 28 indexed citations
6.
Tolmachev, Vladimir, Thuy Tran, Daniel Rosik, et al.. (2012). Tumor Targeting Using Affibody Molecules: Interplay of Affinity, Target Expression Level, and Binding Site Composition. Journal of Nuclear Medicine. 53(6). 953–960. 80 indexed citations
7.
Altai, Mohamed, Joanna Strand, Daniel Rosik, et al.. (2012). Comparative evaluation of anti-HER2 affibody molecules labeled with 68Ga and 111In using maleimido derivatives of DOTA and NODAGA. European Journal of Nuclear Medicine and Molecular Imaging. 39.
8.
Rosik, Daniel, Anna Orlova, Jennie Malmberg, et al.. (2011). Direct comparison of 111In-labelled two-helix and three-helix Affibody molecules for in vivo molecular imaging. European Journal of Nuclear Medicine and Molecular Imaging. 39(4). 693–702. 12 indexed citations
9.
Heskamp, Sandra, Peter Laverman, Daniel Rosik, et al.. (2011). Imaging of Human Epidermal Growth Factor Receptor Type 2 Expression with 18F-Labeled Affibody Molecule ZHER2:2395 in a Mouse Model for Ovarian Cancer. Journal of Nuclear Medicine. 53(1). 146–153. 60 indexed citations
10.
Feldwisch, Joachim, Vladimir Tolmachev, Christofer Lendel, et al.. (2010). Design of an Optimized Scaffold for Affibody Molecules. Journal of Molecular Biology. 398(2). 232–247. 127 indexed citations
11.
Tran, Thuy, Daniel Rosik, Lars Abrahmsén, et al.. (2009). Design, synthesis and biological evaluation of a multifunctional HER2-specific Affibody molecule for molecular imaging. European Journal of Nuclear Medicine and Molecular Imaging. 36(11). 1864–1873. 44 indexed citations
12.
Tolmachev, Vladimir, Mikaela Friedman, Mattias Sandström, et al.. (2009). Affibody Molecules for Epidermal Growth Factor Receptor Targeting In Vivo: Aspects of Dimerization and Labeling Chemistry. Journal of Nuclear Medicine. 50(2). 274–283. 90 indexed citations
13.
Tolmachev, Vladimir, Daniel Rosik, Helena Wållberg, et al.. (2009). Imaging of EGFR expression in murine xenografts using site-specifically labelled anti-EGFR 111In-DOTA-ZEGFR:2377 Affibody molecule: aspect of the injected tracer amount. European Journal of Nuclear Medicine and Molecular Imaging. 37(3). 613–622. 96 indexed citations
14.
Orlova, Anna, et al.. (2007). Evaluation of [(111/114m)In]CHX-A''-DTPA-ZHER2:342, an affibody ligand coniugate for targeting of HER2-expressing malignant tumors.. PubMed. 51(4). 314–23. 31 indexed citations
15.
Ahlgren, Sara, Anna Orlova, Daniel Rosik, et al.. (2007). Evaluation of Maleimide Derivative of DOTA for Site-Specific Labeling of Recombinant Affibody Molecules. Bioconjugate Chemistry. 19(1). 235–243. 83 indexed citations
16.
Tolmachev, Vladimir, Anna Orlova, Rikard Pehrson, et al.. (2007). Radionuclide Therapy of HER2-Positive Microxenografts Using a 177Lu-Labeled HER2-Specific Affibody Molecule. Cancer Research. 67(6). 2773–2782. 179 indexed citations
17.
Tolmachev, Vladimir, Fredrik Nilsson, Charles Widström, et al.. (2006). 111In-benzyl-DTPA-ZHER2:342, an affibody-based conjugate for in vivo imaging of HER2 expression in malignant tumors.. PubMed. 47(5). 846–53. 85 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026