Christian Beil

862 total citations
7 papers, 121 citations indexed

About

Christian Beil is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Christian Beil has authored 7 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Infectious Diseases. Recurrent topics in Christian Beil's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Christian Beil is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Christian Beil collaborates with scholars based in Germany, France and United States. Christian Beil's co-authors include Andreas Lux, Jonathan Berg, Meher Majety, Ercole Rao, Carol J. Gallione, Petra Kioschis, Mathias Hafner, Douglas A. Marchuk, Paul Ferrari and Alexey Rak and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Christian Beil

7 papers receiving 119 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Beil Germany 5 74 38 26 21 16 7 121
Elif Yılmaz Güleç Türkiye 7 55 0.7× 15 0.4× 12 0.5× 44 2.1× 12 0.8× 25 150
Anna Wakulińska Poland 7 91 1.2× 12 0.3× 58 2.2× 29 1.4× 30 1.9× 10 163
Patricia Stiedl Austria 6 64 0.9× 15 0.4× 7 0.3× 17 0.8× 27 1.7× 8 125
Jiangshan Jane Shen Hong Kong 9 53 0.7× 10 0.3× 72 2.8× 20 1.0× 60 3.8× 12 206
Candace D. Middlebrooks United States 6 100 1.4× 12 0.3× 18 0.7× 38 1.8× 38 2.4× 12 179
Mihoko Saito-Adachi Japan 7 85 1.1× 27 0.7× 6 0.2× 12 0.6× 17 1.1× 7 139
Virpi Raivio Finland 7 24 0.3× 21 0.6× 11 0.4× 10 0.5× 19 1.2× 13 129
Martin Strain United States 4 50 0.7× 18 0.5× 63 2.4× 12 0.6× 14 0.9× 5 138
Carsten Tschöepe Germany 7 65 0.9× 9 0.2× 17 0.7× 56 2.7× 21 1.3× 25 208
Nicholas Hartog United States 8 68 0.9× 9 0.2× 85 3.3× 45 2.1× 16 1.0× 24 181

Countries citing papers authored by Christian Beil

Since Specialization
Citations

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

Fields of papers citing papers by Christian Beil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Beil

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

All Works

7 of 7 papers shown
1.
Leuschner, Wulf Dirk, et al.. (2025). Impact of Light-Chain Variants on the Expression of Therapeutic Monoclonal Antibodies in HEK293 and CHO Cells. Antibodies. 14(3). 53–53. 1 indexed citations
2.
Mattoo, Hamid, Dinesh S. Bangari, David M. Habiel, et al.. (2023). Molecular Features and Stages of Pulmonary Fibrosis Driven by Type 2 Inflammation. American Journal of Respiratory Cell and Molecular Biology. 69(4). 404–421. 12 indexed citations
3.
Schneider, Marion, Dilyana Dimova, Arnd Brandenburg, et al.. (2023). High-Throughput and Format-Agnostic Mispairing Assay for Multispecific Antibodies Using Intact Mass Spectrometry. Analytical Chemistry. 95(27). 10265–10278. 2 indexed citations
4.
Beil, Christian, et al.. (2021). Impact of lipopolysaccharides on cultivation and recombinant protein expression in human embryonal kidney (HEK‐293) cells. Engineering in Life Sciences. 21(11). 778–785. 7 indexed citations
5.
Steinmetz, Anke, François Vallée, Christian Beil, et al.. (2016). CODV-Ig, a universal bispecific tetravalent and multifunctional immunoglobulin format for medical applications. mAbs. 8(5). 867–878. 38 indexed citations
6.
Lux, Andreas, Christian Beil, Meher Majety, et al.. (2004). Human Retroviral gag- and gag-pol-like Proteins Interact with the Transforming Growth Factor-β Receptor Activin Receptor-like Kinase 1. Journal of Biological Chemistry. 280(9). 8482–8493. 54 indexed citations
7.
Bamborschke, S., et al.. (1990). Quantitation of Lymphocyte Subsets in Cerebrospinal Fluid and Blood during the Clinical Course of Aseptic and Bacterial Meningitis. European Neurology. 30(5). 291–295. 7 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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