Marcos Oggero

550 total citations
39 papers, 437 citations indexed

About

Marcos Oggero is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Marcos Oggero has authored 39 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 18 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Immunology. Recurrent topics in Marcos Oggero's work include Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (12 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). Marcos Oggero is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (12 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). Marcos Oggero collaborates with scholars based in Argentina, Uruguay and Germany. Marcos Oggero's co-authors include Ricardo Kratje, Marina Etcheverrigaray, Mariela Bollati‐Fogolín, Harald S. Conradt, Nicolas Grammel, Manfred Nimtz, Ángel Messeguer, Fernando Alberício, Claudio Prieto and Silvia A. Camperi and has published in prestigious journals such as Analytical Biochemistry, European Journal of Biochemistry and Pharmaceutical Research.

In The Last Decade

Marcos Oggero

36 papers receiving 427 citations

Peers

Marcos Oggero
Michael Cukan United States
Denise M. O’Hara United States
Daniel Hopkins United States
Thomas O. Kohl United States
San San Yi United States
Philip W. Hammond United States
Michael Cukan United States
Marcos Oggero
Citations per year, relative to Marcos Oggero Marcos Oggero (= 1×) peers Michael Cukan

Countries citing papers authored by Marcos Oggero

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Oggero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Oggero

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Oggero. A scholar is included among the top collaborators of Marcos Oggero 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 Marcos Oggero. Marcos Oggero 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.
Kratje, Ricardo, et al.. (2025). Host cell impact on pharmacokinetics and neurobiological activity of non-erythropoietic hyperglycosylated EPO variants. Journal of Pharmaceutical Sciences. 114(9). 103901–103901.
2.
Ferrando, V., et al.. (2025). Innovative multifunctional tag system for protein purification and analytical characterization. Journal of Chromatography B. 1267. 124811–124811.
4.
Etcheverrigaray, Marina, et al.. (2021). Pharmacokinetics Versus In Vitro Antiproliferative Potency to Design a Novel Hyperglycosylated hIFN-α2 Biobetter. Pharmaceutical Research. 38(1). 37–50. 3 indexed citations
5.
Etcheverrigaray, Marina, et al.. (2020). The glycosylation of anti-rhIFN-α2b recombinant antibodies influences the antigen-neutralizing activity. Biotechnology Letters. 42(8). 1369–1381. 4 indexed citations
6.
Kratje, Ricardo, et al.. (2019). Effect of ANITVNITV peptide fusion on the bioactivity and pharmacokinetics of human IFN-α2b and a hyper-N-glycosylated variant. Journal of Biotechnology. 303. 46–52. 5 indexed citations
7.
Hernández, Paola, Mauricio Cabrera, Hugo Cerecetto, et al.. (2019). Identification and characterization of human interferon alpha inhibitors through a WISH cell line-based reporter gene assay. Bioorganic Chemistry. 94. 103372–103372. 4 indexed citations
8.
Bourguignon, Natalia, et al.. (2018). Production of monoclonal antibodies in microfluidic devices. Integrative Biology. 10(3). 136–144. 10 indexed citations
9.
Herrera, Fernando E., et al.. (2017). An unusual cysteine VL87 affects the antibody fragment conformations without interfering with the disulfide bond formation. Molecular Immunology. 90. 143–149. 1 indexed citations
10.
Etcheverrigaray, Marina, et al.. (2016). Improvement of in vitro stability and pharmacokinetics of hIFN-α by fusing the carboxyl-terminal peptide of hCG β-subunit. Journal of Biotechnology. 221. 13–24. 18 indexed citations
11.
Zapol’skii, Viktor A., Mario Köster, Dieter Kaufmann, et al.. (2016). Screening and characterization of molecules that modulate the biological activity of IFNs-I. Journal of Biotechnology. 233. 6–16. 13 indexed citations
12.
Raud, Brenda, et al.. (2016). Glycosylation and antiproliferative activity of hyperglycosylated IFN-α2 potentiate HEK293 cells as biofactories. European Journal of Pharmaceutics and Biopharmaceutics. 112. 119–131. 13 indexed citations
13.
Etcheverrigaray, Marina, et al.. (2013). High performance collection of cerebrospinal fluid in rats: Evaluation of erythropoietin penetration after osmotic opening of the blood–brain barrier. Journal of Neuroscience Methods. 219(1). 70–75. 11 indexed citations
14.
Prieto, Claudio, et al.. (2012). WISH cell line: From the antiviral system to a novel reporter gene assay to test the potency of human IFN-α and IFN-β. Journal of Immunological Methods. 381(1-2). 70–74. 18 indexed citations
15.
Etcheverrigaray, Marina, et al.. (2010). Influence of carbohydrates on the stability and structure of a hyperglycosylated human interferon alpha mutein. Biochimie. 92(8). 971–978. 24 indexed citations
16.
Oggero, Marcos, et al.. (2006). Rational selection of an antibody probe to detect the heterogeneous collection of CHO-derived rhGM-CSF glycoforms. Biotechnology Letters. 28(24). 2049–2056. 2 indexed citations
17.
Oggero, Marcos, et al.. (2004). A single monoclonal antibody as probe to detect the entire set of native and partially unfolded rhEPO glycoforms. Journal of Immunological Methods. 293(1-2). 191–205. 12 indexed citations
18.
Oggero, Marcos, Ronald Frank, Marina Etcheverrigaray, & Ricardo Kratje. (2004). Defining the antigenic structure of human GM-CSF and its implications for receptor interaction and therapeutic treatments. Molecular Diversity. 8(3). 257–269. 8 indexed citations
19.
Bollati‐Fogolín, Mariela, Marcos Oggero, Ricardo Kratje, et al.. (2004). N‐ and O‐linked carbohydrates and glycosylation site occupancy in recombinant human granulocyte‐macrophage colony‐stimulating factor secreted by a Chinese hamster ovary cell line. European Journal of Biochemistry. 271(5). 907–919. 39 indexed citations
20.
Bollati‐Fogolín, Mariela, Marcos Oggero, Ricardo Kratje, & Marina Etcheverrigaray. (2002). Choice of the adequate quantification method for recombinant human GM-CSF produced in different host systems. Electronic Journal of Biotechnology. 5(3). 15–16. 5 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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