John A. Dangerfield

1.4k total citations
43 papers, 1.0k citations indexed

About

John A. Dangerfield is a scholar working on Molecular Biology, Geophysics and Genetics. According to data from OpenAlex, John A. Dangerfield has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Geophysics and 9 papers in Genetics. Recurrent topics in John A. Dangerfield's work include Seismic Imaging and Inversion Techniques (9 papers), Virus-based gene therapy research (6 papers) and RNA Interference and Gene Delivery (5 papers). John A. Dangerfield is often cited by papers focused on Seismic Imaging and Inversion Techniques (9 papers), Virus-based gene therapy research (6 papers) and RNA Interference and Gene Delivery (5 papers). John A. Dangerfield collaborates with scholars based in Austria, United Kingdom and United States. John A. Dangerfield's co-authors include Sussan Nourshargh, Karen Y. Larbi, A Dewar, Miao‐Tzu Huang, Mathieu-Benoı̂t Voisin, Christoph Scheiermann, Lydia Sorokin, Maxine Tran, Patrick H. Maxwell and Shijun Wang and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

John A. Dangerfield

42 papers receiving 993 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Dangerfield Austria 17 406 338 313 109 83 43 1.0k
Corinne Laplace‐Builhé France 18 394 1.0× 648 1.9× 84 0.3× 48 0.4× 239 2.9× 34 1.7k
A Rich United States 6 611 1.5× 523 1.5× 58 0.2× 62 0.6× 93 1.1× 8 1.1k
Jiyang Wang China 25 548 1.3× 616 1.8× 34 0.1× 97 0.9× 173 2.1× 54 1.6k
Yu-Guang He United States 21 487 1.2× 267 0.8× 70 0.2× 91 0.8× 78 0.9× 39 2.1k
Frank Burns United States 16 320 0.8× 447 1.3× 88 0.3× 72 0.7× 102 1.2× 29 1.3k
Anja Köhler Germany 17 267 0.7× 559 1.7× 136 0.4× 51 0.5× 156 1.9× 32 1.2k
Caroline Schmutz United Kingdom 10 256 0.6× 503 1.5× 174 0.6× 103 0.9× 210 2.5× 12 961
M J Metzelaar Netherlands 13 289 0.7× 367 1.1× 268 0.9× 100 0.9× 89 1.1× 14 981
Frank B. Gelder United States 22 437 1.1× 332 1.0× 87 0.3× 58 0.5× 229 2.8× 57 1.4k
François Roberge United States 24 448 1.1× 954 2.8× 137 0.4× 38 0.3× 95 1.1× 42 2.7k

Countries citing papers authored by John A. Dangerfield

Since Specialization
Citations

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

Fields of papers citing papers by John A. Dangerfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Dangerfield. 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 John A. Dangerfield. The network helps show where John A. Dangerfield may publish in the future.

Co-authorship network of co-authors of John A. Dangerfield

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Dangerfield. A scholar is included among the top collaborators of John A. Dangerfield 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 John A. Dangerfield. John A. Dangerfield 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.
Dangerfield, John A., et al.. (2024). Development and functional testing of a novel in vitro delayed scratch closure assay. Histochemistry and Cell Biology. 162(3). 245–255. 3 indexed citations
2.
Siddiqui, Asim Azhar, et al.. (2023). A versatile genomic transgenesis platform with enhanced λ integrase for human Expi293F cells. Frontiers in Bioengineering and Biotechnology. 11. 1198465–1198465. 1 indexed citations
3.
Dangerfield, John A., et al.. (2023). Extracellular Vesicles and Their Membranes: Exosomes vs. Virus-Related Particles. Membranes. 13(4). 397–397. 14 indexed citations
4.
Günzburg, Walter H., et al.. (2020). Efficient protection of microorganisms for delivery to the intestinal tract by cellulose sulphate encapsulation. Microbial Cell Factories. 19(1). 216–216. 31 indexed citations
5.
Heider, Susanne, et al.. (2016). Immune Protection of Retroviral Vectors Upon Molecular Painting with the Complement Regulatory Protein CD59. Molecular Biotechnology. 58(7). 480–488. 5 indexed citations
6.
Heider, Susanne, et al.. (2016). Biomedical applications of glycosylphosphatidylinositol-anchored proteins. Journal of Lipid Research. 57(10). 1778–1788. 25 indexed citations
7.
8.
Dangerfield, John A., et al.. (2012). Fluorescence Molecular Painting of Enveloped Viruses. Molecular Biotechnology. 53(1). 9–18. 16 indexed citations
9.
Mykhaylyk, Olga, et al.. (2011). Magnetic field-controlled gene expression in encapsulated cells. Journal of Controlled Release. 158(3). 424–432. 33 indexed citations
10.
Brandtner, Eva Maria, et al.. (2010). A novel cell encapsulation mode for delivery of therapeutic antibodies against West Nile Virus infections that maintains steady plasma antibody levels throughout therapy. International Journal of Infectious Diseases. 14. e48–e48. 1 indexed citations
11.
Valiente‐Echeverría, Fernando, Kenneth Tapia, Felipe Rodríguez, et al.. (2009). The 5'-untranslated region of the mouse mammary tumor virus mRNA exhibits cap-independent translation initiation. Nucleic Acids Research. 38(2). 618–632. 28 indexed citations
12.
13.
Young, Rebecca, et al.. (2007). Role of neutrophil elastase in LTB4‐induced neutrophil transmigration in vivo assessed with a specific inhibitor and neutrophil elastase deficient mice. British Journal of Pharmacology. 151(5). 628–637. 54 indexed citations
14.
Wang, Shijun, Mathieu-Benoı̂t Voisin, Karen Y. Larbi, et al.. (2006). Venular basement membranes contain specific matrix protein low expression regions that act as exit points for emigrating neutrophils. The Journal of Experimental Medicine. 203(6). 1519–1532. 282 indexed citations
15.
Dangerfield, John A., et al.. (2006). Enhancement of the StreptoTag method for isolation of endogenously expressed proteins with complex RNA binding targets. Electrophoresis. 27(10). 1874–1877. 18 indexed citations
16.
Wang, Shijun, Mathieu-Benoı̂t Voisin, Karen Y. Larbi, et al.. (2006). Venular basement membranes contain specific matrix protein low expression regions that act as exit points for emigrating neutrophils. The Journal of Cell Biology. 173(6). i11–i11. 6 indexed citations
17.
Dangerfield, John A., Christine Hohenadl, Monika Egerbacher, et al.. (2005). HIV-1 Rev can specifically interact with MMTV RNA and upregulate gene expression. Gene. 358. 17–30. 11 indexed citations
18.
Salmons, Brian, Walter H. Günzburg, Manfred Gemeiner, et al.. (2005). MMTV accessory factor Naf affects cellular gene expression. Virology. 346(1). 139–150. 3 indexed citations
19.
Dangerfield, John A., Karen Y. Larbi, Miao‐Tzu Huang, A Dewar, & Sussan Nourshargh. (2002). PECAM-1 (CD31) Homophilic Interaction Up-Regulates α6β1 on Transmigrated Neutrophils In Vivo and Plays a Functional Role in the Ability of α6 Integrins to Mediate Leukocyte Migration through the Perivascular Basement Membrane. The Journal of Experimental Medicine. 196(9). 1201–1212. 172 indexed citations
20.
Dangerfield, John A., D. W. S. Westlake, & F. D. Cook. (1978). Characterization of the bacterial flora associated with root systems of Pinus contorta var. latifolia. Canadian Journal of Microbiology. 24(12). 1520–1525. 1 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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