Johan Rockberg

22.5k total citations
54 papers, 1.3k citations indexed

About

Johan Rockberg is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Johan Rockberg has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 34 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Oncology. Recurrent topics in Johan Rockberg's work include Monoclonal and Polyclonal Antibodies Research (34 papers), Glycosylation and Glycoproteins Research (16 papers) and Viral Infectious Diseases and Gene Expression in Insects (15 papers). Johan Rockberg is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (34 papers), Glycosylation and Glycoproteins Research (16 papers) and Viral Infectious Diseases and Gene Expression in Insects (15 papers). Johan Rockberg collaborates with scholars based in Sweden, Denmark and United Kingdom. Johan Rockberg's co-authors include Mathias Uhlén, Björn Forsström, Peter Nilsson, John Löfblom, Elton P. Hudson, Stefan Ståhl, Johan Nilvebrant, Søren Buus, Claus Schafer‐Nielsen and Magdalena Malm and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Johan Rockberg

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Rockberg Sweden 20 914 531 139 132 124 54 1.3k
Ana Cauerhff Argentina 18 820 0.9× 547 1.0× 241 1.7× 68 0.5× 68 0.5× 31 1.3k
William J.J. Finlay United States 20 755 0.8× 515 1.0× 213 1.5× 58 0.4× 112 0.9× 28 1.2k
Say Kong Ng Singapore 19 873 1.0× 246 0.5× 86 0.6× 89 0.7× 102 0.8× 39 1.1k
Juergen H. Nett United States 17 1.5k 1.7× 687 1.3× 244 1.8× 82 0.6× 89 0.7× 17 1.7k
Stefan Wildt United States 14 1.4k 1.5× 357 0.7× 171 1.2× 110 0.8× 43 0.3× 16 1.6k
Ryo Morishita Japan 17 1.2k 1.4× 178 0.3× 155 1.1× 83 0.6× 80 0.6× 39 1.6k
Marina Etcheverrigaray Argentina 18 657 0.7× 259 0.5× 133 1.0× 97 0.7× 69 0.6× 61 958
Bérangère Avalle France 17 512 0.6× 495 0.9× 223 1.6× 61 0.5× 56 0.5× 38 931
Ricardo Kratje Argentina 18 684 0.7× 215 0.4× 128 0.9× 102 0.8× 75 0.6× 63 991
Masoumeh Rajabibazl Iran 20 730 0.8× 371 0.7× 185 1.3× 87 0.7× 84 0.7× 90 1.2k

Countries citing papers authored by Johan Rockberg

Since Specialization
Citations

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

Fields of papers citing papers by Johan Rockberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Rockberg

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Rockberg. A scholar is included among the top collaborators of Johan Rockberg 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 Johan Rockberg. Johan Rockberg 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
1.
Gudmundsdotter, Lindvi, et al.. (2023). Co-culture platform for tuning of cancer receptor density allows for evaluation of bispecific immune cell engagers. New Biotechnology. 79. 120–126. 1 indexed citations
2.
Lundqvist, Magnus, Monica Andersson, Gholamreza Bidkhori, et al.. (2023). Tuning of CHO secretional machinery improve activity of secreted therapeutic sulfatase 150-fold. Metabolic Engineering. 81. 157–166. 2 indexed citations
3.
Malm, Magdalena, Chih‐Chung Kuo, Anna-Luisa Volk, et al.. (2022). Harnessing secretory pathway differences between HEK293 and CHO to rescue production of difficult to express proteins. Metabolic Engineering. 72. 171–187. 25 indexed citations
4.
Scheffel, Julia, Emma Larsson, Gabriella Rossi, et al.. (2022). CaRA – A multi-purpose phage display library for selection of calcium-regulated affinity proteins. New Biotechnology. 72. 159–167. 5 indexed citations
5.
Andersson, Tommy, Chao Su, Agneta Tjernberg, et al.. (2021). Ancestral lysosomal enzymes with increased activity harbor therapeutic potential for treatment of Hunter syndrome. iScience. 24(3). 102154–102154. 8 indexed citations
6.
Volk, Anna-Luisa, Magnus Lundqvist, Hyun‐Jong Lee, et al.. (2021). Bispecific Antibody Molecule Inhibits Tumor Cell Proliferation More Efficiently Than the Two-Molecule Combination. Drugs in R&D. 21(2). 157–168. 7 indexed citations
7.
Nasi, Aikaterini, Stéphanie McArdle, Gustav Gaudernack, et al.. (2020). Reactive oxygen species as an initiator of toxic innate immune responses in retort to SARS-CoV-2 in an ageing population, consider N-acetylcysteine as early therapeutic intervention. Toxicology Reports. 7. 768–771. 82 indexed citations
8.
Malm, Magdalena, Magnus Lundqvist, Marco Giudici, et al.. (2020). Evolution from adherent to suspension: systems biology of HEK293 cell line development. Scientific Reports. 10(1). 18996–18996. 69 indexed citations
9.
Zhang, Ye, Magdalena Malm, Richard Turner, et al.. (2019). Small-scale bioreactor supports high density HEK293 cell perfusion culture for the production of recombinant Erythropoietin. Journal of Biotechnology. 309. 44–52. 47 indexed citations
10.
Lundqvist, Magnus, Anna-Luisa Volk, Henning Gram Hansen, et al.. (2019). Chromophore pre-maturation for improved speed and sensitivity of split-GFP monitoring of protein secretion. Scientific Reports. 9(1). 310–310. 11 indexed citations
11.
Nilvebrant, Johan & Johan Rockberg. (2018). An Introduction to Epitope Mapping. Methods in molecular biology. 1785. 1–10. 36 indexed citations
13.
Volk, Anna-Luisa, Magnus Berglund, Erik Nordling, et al.. (2016). Stratification of responders towards eculizumab using a structural epitope mapping strategy. Scientific Reports. 6(1). 31365–31365. 16 indexed citations
14.
Hansen, Henning Gram, Anne Mathilde Lund, Stefan Kol, et al.. (2015). Versatile microscale screening platform for improving recombinant protein productivity in Chinese hamster ovary cells. Scientific Reports. 5(1). 18016–18016. 22 indexed citations
15.
Forsström, Björn, et al.. (2012). Parallel Immunizations of Rabbits Using the Same Antigen Yield Antibodies with Similar, but Not Identical, Epitopes. PLoS ONE. 7(12). e45817–e45817. 15 indexed citations
16.
Hudson, Elton P., Andrej Nikoshkov, Mathias Uhlén, & Johan Rockberg. (2012). Automated Solid-Phase Subcloning Based on Beads Brought into Proximity by Magnetic Force. PLoS ONE. 7(5). e37429–e37429. 5 indexed citations
17.
Kronqvist, Nina, Magdalena Malm, Johan Rockberg, et al.. (2010). Staphylococcal Surface Display in Combinatorial Protein Engineering and Epitope Mapping of Antibodies. Recent Patents on Biotechnology. 4(3). 171–182. 22 indexed citations
18.
Rockberg, Johan, Jochen M. Schwenk, & Mathias Uhlén. (2009). Discovery of epitopes for targeting the human epidermal growth factor receptor 2 (HER2) with antibodies. Molecular Oncology. 3(3). 238–247. 20 indexed citations
19.
Rockberg, Johan & Mathias Uhlén. (2009). Prediction of antibody response using recombinant human protein fragments as antigen. Protein Science. 18(11). 2346–2355. 5 indexed citations
20.
Berglund, Lisa, Erik Björling, Kalle Jonasson, et al.. (2008). A whole‐genome bioinformatics approach to selection of antigens for systematic antibody generation. PROTEOMICS. 8(14). 2832–2839. 48 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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