Algirdas Grevys

1.0k total citations
16 papers, 688 citations indexed

About

Algirdas Grevys is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Hematology. According to data from OpenAlex, Algirdas Grevys has authored 16 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Molecular Biology and 5 papers in Hematology. Recurrent topics in Algirdas Grevys's work include Monoclonal and Polyclonal Antibodies Research (13 papers), Glycosylation and Glycoproteins Research (6 papers) and Protein purification and stability (5 papers). Algirdas Grevys is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), Glycosylation and Glycoproteins Research (6 papers) and Protein purification and stability (5 papers). Algirdas Grevys collaborates with scholars based in Norway, United States and United Kingdom. Algirdas Grevys's co-authors include Jan Terje Andersen, Inger Sandlie, Terje E. Michaelsen, Jeannette Nilsen, Malin Bern, Kine Marita Knudsen Sand, Stian Foss, D. B. Bratlie, Bjørn Dalhus and Ioanna Smyrlaki and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Algirdas Grevys

16 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Algirdas Grevys Norway 14 412 324 181 73 69 16 688
Malin Bern Norway 10 458 1.1× 377 1.2× 166 0.9× 47 0.6× 77 1.1× 12 776
Jeannette Nilsen Norway 12 447 1.1× 350 1.1× 130 0.7× 60 0.8× 77 1.1× 18 819
Kine Marita Knudsen Sand Norway 12 558 1.4× 510 1.6× 279 1.5× 57 0.8× 111 1.6× 17 1.1k
Christine Bryson United Kingdom 6 363 0.9× 341 1.1× 288 1.6× 35 0.5× 32 0.5× 7 621
Wen-Wei Lin Taiwan 17 307 0.7× 122 0.4× 73 0.4× 115 1.6× 30 0.4× 56 689
Uli Binder Germany 10 345 0.8× 190 0.6× 126 0.7× 34 0.5× 14 0.2× 12 564
Donna M. Small United Kingdom 16 283 0.7× 59 0.2× 138 0.8× 92 1.3× 49 0.7× 28 763
A. Supersaxo Switzerland 10 272 0.7× 103 0.3× 115 0.6× 52 0.7× 33 0.5× 11 575
Zita Schneider Hungary 8 327 0.8× 336 1.0× 161 0.9× 35 0.5× 17 0.2× 8 535
Whitney Shatz-Binder United States 13 388 0.9× 354 1.1× 113 0.6× 38 0.5× 8 0.1× 21 592

Countries citing papers authored by Algirdas Grevys

Since Specialization
Citations

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

Fields of papers citing papers by Algirdas Grevys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Algirdas Grevys

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

All Works

16 of 16 papers shown
1.
Foss, Stian, J.H. Marco Jansen, Mitchell Evers, et al.. (2025). Engineering of anticancer human immunoglobulin A equipped with albumin for enhanced plasma half-life. PNAS Nexus. 4(2). pgaf042–pgaf042. 3 indexed citations
2.
Gjølberg, Torleif Tollefsrud, Rahel Frick, Stian Foss, et al.. (2022). Biophysical differences in IgG1 Fc-based therapeutics relate to their cellular handling, interaction with FcRn and plasma half-life. Communications Biology. 5(1). 832–832. 14 indexed citations
3.
Grevys, Algirdas, Rahel Frick, Karine Flem‐Karlsen, et al.. (2022). Antibody variable sequences have a pronounced effect on cellular transport and plasma half-life. iScience. 25(2). 103746–103746. 35 indexed citations
4.
Hubbard, Jonathan J., Michał Pyzik, Timo Räth, et al.. (2020). FcRn is a CD32a coreceptor that determines susceptibility to IgG immune complex–driven autoimmunity. The Journal of Experimental Medicine. 217(10). 34 indexed citations
5.
Nilsen, Jeannette, Esben Trabjerg, Algirdas Grevys, et al.. (2020). An intact C-terminal end of albumin is required for its long half-life in humans. Communications Biology. 3(1). 181–181. 48 indexed citations
6.
Azevedo, Cláudia, Jeannette Nilsen, Algirdas Grevys, et al.. (2020). Engineered albumin-functionalized nanoparticles for improved FcRn binding enhance oral delivery of insulin. Journal of Controlled Release. 327. 161–173. 68 indexed citations
7.
Lau, Corinna, Grethe Bergseth, Algirdas Grevys, et al.. (2019). NHDL, a recombinant V L /V H hybrid antibody control for IgG2/4 antibodies. mAbs. 12(1). 1686319–1686319. 3 indexed citations
8.
Shaw, Alan, Ian T. Hoffecker, Ioanna Smyrlaki, et al.. (2019). Binding to nanopatterned antigens is dominated by the spatial tolerance of antibodies. Nature Nanotechnology. 14(2). 184–190. 146 indexed citations
9.
Grevys, Algirdas, Jeannette Nilsen, Kine Marita Knudsen Sand, et al.. (2018). A human endothelial cell-based recycling assay for screening of FcRn targeted molecules. Nature Communications. 9(1). 621–621. 64 indexed citations
10.
Jørstad, Øystein Kalsnes, et al.. (2018). Pharmaceutical compounding of aflibercept in prefilled syringes does not affect structural integrity, stability or VEGF and Fc binding properties. Scientific Reports. 8(1). 2101–2101. 24 indexed citations
11.
Nilsen, Jeannette, Malin Bern, Kine Marita Knudsen Sand, et al.. (2018). Human and mouse albumin bind their respective neonatal Fc receptors differently. Scientific Reports. 8(1). 14648–14648. 52 indexed citations
12.
Foss, Stian, Ruth Watkinson, Algirdas Grevys, et al.. (2016). TRIM21 Immune Signaling Is More Sensitive to Antibody Affinity Than Its Neutralization Activity. The Journal of Immunology. 196(8). 3452–3459. 34 indexed citations
13.
Foss, Stian, Algirdas Grevys, Kine Marita Knudsen Sand, et al.. (2015). Enhanced FcRn-dependent transepithelial delivery of IgG by Fc-engineering and polymerization. Journal of Controlled Release. 223. 42–52. 23 indexed citations
14.
Grevys, Algirdas, Malin Bern, Stian Foss, et al.. (2015). Fc Engineering of Human IgG1 for Altered Binding to the Neonatal Fc Receptor Affects Fc Effector Functions. The Journal of Immunology. 194(11). 5497–5508. 62 indexed citations
15.
Sand, Kine Marita Knudsen, Malin Bern, Jeannette Nilsen, et al.. (2014). Interaction with Both Domain I and III of Albumin Is Required for Optimal pH-dependent Binding to the Neonatal Fc Receptor (FcRn). Journal of Biological Chemistry. 289(50). 34583–34594. 42 indexed citations
16.
Mathiesen, Line, Leif Kofoed Nielsen, Jan Terje Andersen, et al.. (2013). Maternofetal transplacental transport of recombinant IgG antibodies lacking effector functions. Blood. 122(7). 1174–1181. 36 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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