Johnny Arnsdorf

1.4k total citations
15 papers, 868 citations indexed

About

Johnny Arnsdorf is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Johnny Arnsdorf has authored 15 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Johnny Arnsdorf's work include Viral Infectious Diseases and Gene Expression in Insects (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Transgenic Plants and Applications (5 papers). Johnny Arnsdorf is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Transgenic Plants and Applications (5 papers). Johnny Arnsdorf collaborates with scholars based in Denmark, United States and Australia. Johnny Arnsdorf's co-authors include Nils Billestrup, Douglas J. Hilton, Timothy E. Adams, Nicos A. Nicola, Robyn Starr, Jens Høiriis Nielsen, Karen Lindberg, Anders Holmgaard Hansen, Helene Faustrup Kildegaard and Nathan E. Lewis and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Chemistry - A European Journal.

In The Last Decade

Johnny Arnsdorf

15 papers receiving 847 citations

Peers

Countries citing papers authored by Johnny Arnsdorf

Since Specialization

Citations

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

Fields of papers citing papers by Johnny Arnsdorf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johnny Arnsdorf

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

#	Title	Journal	Authors	Indexed citations
1	CHOGlycoNET: Comprehensive glycosylation reaction network for CHO cells	Metabolic Engineering	Pavlos Kotidis, Johnny Arnsdorf et al.	10
2	Highly Selective Lysine Acylation in Proteins Using a Lys‐His Tag Sequence	Chemistry - A European Journal	Christian Kofoed, Johnny Arnsdorf et al.	6
3	Multiplex secretome engineering enhances recombinant protein production and purity	Nature Communications	Stefan Kol, Daniel Ley et al.	86
4	CHOmics: A web-based tool for multi-omics data analysis and interactive visualization in CHO cell lines	PLoS Computational Biology	Dongdong Lin, Hima Bindu Yalamanchili et al.	10
5	A Markov model of glycosylation elucidates isozyme specificity and glycosyltransferase interactions for glycoengineering	Current Research in Biotechnology	Austin W.T. Chiang, Anders Holmgaard Hansen et al.	20
6	Reprogramming AA catabolism in CHO cells with CRISPR/Cas9 genome editing improves cell growth and reduces byproduct secretion	Metabolic Engineering	Daniel Ley, Lasse Ebdrup Pedersen et al.	26
7	Glyco-engineered CHO cell lines producing alpha-1-antitrypsin and C1 esterase inhibitor with fully humanized N-glycosylation profiles	Metabolic Engineering	Thomas Amann, Anders Holmgaard Hansen et al.	39
8	A Markov chain model for N-linked protein glycosylation – towards a low-parameter tool for model-driven glycoengineering	Metabolic Engineering	Philipp N. Spahn, Anders Holmgaard Hansen et al.	74
9	Novel semicarbazide-derived inhibitors of human dipeptidyl peptidase I (hDPPI)	Bioorganic & Medicinal Chemistry	Johnny Arnsdorf, Berit Olsen Krogh et al.	31
10	Signal Transducer and Activator of Transcription 5 Activation Is Sufficient to Drive Transcriptional Induction of Cyclin D2 Gene and Proliferation of Rat Pancreatic β-Cells	Molecular Endocrinology	Birgitte Nissen Friedrichsen, Johnny Arnsdorf et al.	79
11	The Effect of Suppressor of Cytokine Signaling 3 on GH Signaling in β-Cells	Molecular Endocrinology	Sif G. Rønn, Johnny Arnsdorf et al.	28
12	Mechanism of Inhibition of Growth Hormone Receptor Signaling by Suppressor of Cytokine Signaling Proteins	Molecular Endocrinology	Johnny Arnsdorf, Karen Lindberg et al.	165
13	Growth Hormone Preferentially Induces the Rapid, Transient Expression of SOCS-3, a Novel Inhibitor of Cytokine Receptor Signaling	Journal of Biological Chemistry	Timothy E. Adams, Johnny Arnsdorf et al.	279
14	Molecular Mechanism of Growth Hormone Signalling	Endocrine Journal	Nils Billestrup, Johnny Arnsdorf et al.	11
15	Growth of the endocrine pancreas: the role of somatolactogenic hormones and receptors	Biochemical Society Transactions	Jens Høiriis Nielsen, Nils Billestrup et al.	4

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