Michael J. Lowden

825 total citations
19 papers, 650 citations indexed

About

Michael J. Lowden is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Food Science. According to data from OpenAlex, Michael J. Lowden has authored 19 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Food Science. Recurrent topics in Michael J. Lowden's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Salmonella and Campylobacter epidemiology (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Michael J. Lowden is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Salmonella and Campylobacter epidemiology (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Michael J. Lowden collaborates with scholars based in Canada, United States and Australia. Michael J. Lowden's co-authors include B. Brett Finlay, Brian K. Coombes, Mark E. Wickham, Nat F. Brown, Karen Skorupski, Maria Pellegrini, F. Jon Kull, Ronald K. Taylor, J. Antonio Ibarra and Annick Gauthier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Michael J. Lowden

19 papers receiving 644 citations

Peers

Michael J. Lowden
M. Mahbubur Rahman United States
N. A. Mullan United Kingdom
Siân V. Owen United Kingdom
Cédric Cagliero United States
Michael J. Lowden
Citations per year, relative to Michael J. Lowden Michael J. Lowden (= 1×) peers Ian C. Schoenhofen

Countries citing papers authored by Michael J. Lowden

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Lowden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Lowden. 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 Michael J. Lowden. The network helps show where Michael J. Lowden may publish in the future.

Co-authorship network of co-authors of Michael J. Lowden

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

All Works

19 of 19 papers shown
1.
Kim, Dae Young, Michael J. Lowden, Qingling Yang, et al.. (2023). Sequence tolerance of immunoglobulin variable domain framework regions to noncanonical intradomain disulfide linkages. Journal of Biological Chemistry. 299(11). 105278–105278. 3 indexed citations
2.
Lowden, Michael J., Eric K. Lei, Greg Hussack, & Kevin A. Henry. (2023). Applications of High-Throughput DNA Sequencing to Single-Domain Antibody Discovery and Engineering. Methods in molecular biology. 2702. 489–540. 2 indexed citations
3.
Koutaniemi, Sanna, Sandra M.J. Langeveld, Annie Bellemare, et al.. (2022). Carbohydrate esterase family 16 contains fungal hemicellulose acetyl esterases (HAEs) with varying specificity. New Biotechnology. 70. 28–38. 11 indexed citations
4.
Lowden, Michael J., et al.. (2022). Facile Affinity Maturation of Single-Domain Antibodies Using Next-Generation DNA Sequencing. Methods in molecular biology. 2446. 245–268. 3 indexed citations
5.
Wang, Zhejun, et al.. (2021). The stress induced caleosin, RD20/CLO3, acts as a negative regulator of GPA1 in Arabidopsis. Plant Molecular Biology. 107(3). 159–175. 10 indexed citations
6.
Faassen, Henk van, Shannon Ryan, Michael J. Lowden, et al.. (2021). Incorporation of a Novel CD16-Specific Single-Domain Antibody into Multispecific Natural Killer Cell Engagers With Potent ADCC. Molecular Pharmaceutics. 18(6). 2375–2384. 19 indexed citations
7.
Hussack, Greg, et al.. (2018). Isolation and characterization of camelid single-domain antibodies against HER2. BMC Research Notes. 11(1). 866–866. 8 indexed citations
8.
Lowden, Michael J. & Kevin A. Henry. (2018). Oxford Nanopore Sequencing Enables Rapid Discovery of Single-Domain Antibodies from Phage Display Libraries. BioTechniques. 65(6). 351–356. 6 indexed citations
9.
Henry, Kevin A., Dae Young Kim, Michael J. Lowden, et al.. (2017). Stability-Diversity Tradeoffs Impose Fundamental Constraints on Selection of Synthetic Human VH/VL Single-Domain Antibodies from In Vitro Display Libraries. Frontiers in Immunology. 8. 1759–1759. 14 indexed citations
10.
Henry, Kevin A., Michael J. Lowden, Martín A. Rossotti, et al.. (2017). A disulfide-stabilized human V L single-domain antibody library is a source of soluble and highly thermostable binders. Molecular Immunology. 90. 190–196. 16 indexed citations
11.
Ferreira, Rosana B. R., Yanet Valdez, Brian K. Coombes, et al.. (2015). A Highly Effective Component Vaccine against Nontyphoidal Salmonella enterica Infections. mBio. 6(5). e01421–15. 12 indexed citations
12.
Kaur, Amrit Pal, B. Nocek, Xiaohui Xu, et al.. (2014). Functional and structural diversity in GH 62 α‐ L ‐arabinofuranosidases from the thermophilic fungus S cytalidium thermophilum. Microbial Biotechnology. 8(3). 419–433. 31 indexed citations
13.
Auweter, Sigrid, Amit P. Bhavsar, Carmen L. de Hoog, et al.. (2011). Quantitative Mass Spectrometry Catalogues Salmonella Pathogenicity Island-2 Effectors and Identifies Their Cognate Host Binding Partners. Journal of Biological Chemistry. 286(27). 24023–24035. 54 indexed citations
14.
Brown, Nat F., Brian K. Coombes, Mark E. Wickham, et al.. (2011). Salmonella Phage ST64B Encodes a Member of the SseK/NleB Effector Family. PLoS ONE. 6(3). e17824–e17824. 51 indexed citations
15.
Lowden, Michael J., et al.. (2010). Structure of Vibrio cholerae ToxT reveals a mechanism for fatty acid regulation of virulence genes. Proceedings of the National Academy of Sciences. 107(7). 2860–2865. 134 indexed citations
16.
Osborne, Suzanne E., Don Walthers, Ana M. Tomljenovic-Berube, et al.. (2009). Pathogenic adaptation of intracellular bacteria by rewiring a cis -regulatory input function. Proceedings of the National Academy of Sciences. 106(10). 3982–3987. 50 indexed citations
17.
Coombes, Brian K., Michael J. Lowden, Jennifer L. Bishop, et al.. (2006). SseL Is a Salmonella -Specific Translocated Effector Integrated into the SsrB-Controlled Salmonella Pathogenicity Island 2 Type III Secretion System. Infection and Immunity. 75(2). 574–580. 61 indexed citations
18.
Coombes, Brian K., Mark E. Wickham, Michael J. Lowden, Nat F. Brown, & B. Brett Finlay. (2005). Negative regulation of Salmonella pathogenicity island 2 is required for contextual control of virulence during typhoid. Proceedings of the National Academy of Sciences. 102(48). 17460–17465. 81 indexed citations
19.
Gauthier, Annick, et al.. (2005). Transcriptional Inhibitor of Virulence Factors in EnteropathogenicEscherichia coli. Antimicrobial Agents and Chemotherapy. 49(10). 4101–4109. 84 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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