Harald Bradl

405 total citations
13 papers, 324 citations indexed

About

Harald Bradl is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Harald Bradl has authored 13 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Harald Bradl's work include Viral Infectious Diseases and Gene Expression in Insects (6 papers), T-cell and B-cell Immunology (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Harald Bradl is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (6 papers), T-cell and B-cell Immunology (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Harald Bradl collaborates with scholars based in Germany, Switzerland and Canada. Harald Bradl's co-authors include Hans‐Martin Jäck, Christian Vettermann, Jürgen Wittmann, Ingo H. Gorr, Patrick Schulz, Martin Gamer, Simon Fischer, Wolfgang Schuh, Harald Lanig and Silke Meister and has published in prestigious journals such as The Journal of Immunology, Biotechnology and Bioengineering and Journal of Biotechnology.

In The Last Decade

Harald Bradl

13 papers receiving 323 citations

Peers

Harald Bradl
Thil Batuwangala United Kingdom
D Landais France
Zhonghui Luo United States
Carina Olsson Switzerland
Yuwen Linda Lin Switzerland
Fernanda Castro United Kingdom
Linda Masat United States
T.W.H. Flinsenberg Netherlands
Thil Batuwangala United Kingdom
Harald Bradl
Citations per year, relative to Harald Bradl Harald Bradl (= 1×) peers Thil Batuwangala

Countries citing papers authored by Harald Bradl

Since Specialization
Citations

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

Fields of papers citing papers by Harald Bradl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harald Bradl

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

All Works

13 of 13 papers shown
1.
Fischer, Simon, Shumin Yang, E Zimmermann, et al.. (2021). Loss of a newly discovered microRNA in Chinese hamster ovary cells leads to upregulation of N‐glycolylneuraminic acid sialylation on monoclonal antibodies. Biotechnology and Bioengineering. 119(3). 832–844. 8 indexed citations
2.
Fischer, Simon, René Handrick, Patrick Schulz, et al.. (2018). Visualisation of intracellular production bottlenecks in suspension-adapted CHO cells producing complex biopharmaceuticals using fluorescence microscopy. Journal of Biotechnology. 271. 47–55. 25 indexed citations
3.
Yang, Shumin, Henry Lin, Guifeng Jiang, et al.. (2018). Study of an unusually high level of N-glycolylneuraminic acid (NGNA) sialylation on a monoclonal antibody expressed in Chinese hamster ovary cells. 2 indexed citations
4.
Fischer, Simon, Kim Fabiano Marquart, Martin Gamer, et al.. (2017). miRNA engineering of CHO cells facilitates production of difficult‐to‐express proteins and increases success in cell line development. Biotechnology and Bioengineering. 114(7). 1495–1510. 42 indexed citations
6.
Schaub, Jochen, et al.. (2015). Process parameters impacting product quality. BMC Proceedings. 9(S9). 5 indexed citations
7.
Schuh, Wolfgang, Silke Meister, Kai Herrmann, Harald Bradl, & Hans‐Martin Jäck. (2007). Transcriptome analysis in primary B lymphoid precursors following induction of the pre-B cell receptor. Molecular Immunology. 45(2). 362–375. 28 indexed citations
8.
Bradl, Harald, Christian Vettermann, Wolfgang Schuh, Silke Meister, & Hans‐Martin Jäck. (2005). The pre‐B cell receptor and its ligands – it takes two to tango. 7(4). 299–310. 4 indexed citations
9.
Lanig, Harald, Harald Bradl, & Hans‐Martin Jäck. (2004). Three-dimensional modeling of a pre-B-cell receptor. Molecular Immunology. 40(17). 1263–1272. 19 indexed citations
10.
Bradl, Harald, Wolfgang Schuh, & Hans‐Martin Jäck. (2004). CD44 is dispensable for B lymphopoiesis. Immunology Letters. 95(1). 71–75. 4 indexed citations
11.
Bradl, Harald, et al.. (2003). Interaction of Murine Precursor B Cell Receptor with Stroma Cells Is Controlled by the Unique Tail of λ5 and Stroma Cell-Associated Heparan Sulfate. The Journal of Immunology. 171(5). 2338–2348. 88 indexed citations
12.
Martin, Denise A., et al.. (2003). Selection of Ig μ Heavy Chains by Complementarity-Determining Region 3 Length and Amino Acid Composition. The Journal of Immunology. 171(9). 4663–4671. 21 indexed citations
13.
Bradl, Harald & Hans‐Martin Jäck. (2001). Surrogate Light Chain-Mediated Interaction of a Soluble Pre-B Cell Receptor with Adherent Cell Lines. The Journal of Immunology. 167(11). 6403–6411. 60 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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