Marcos Oggero

48 total papers · 553 total citations
40 papers, 436 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 40 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Immunology. Recurrent topics in Marcos Oggero's work include Monoclonal and Polyclonal Antibodies Research (19 papers), Glycosylation and Glycoproteins Research (12 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Marcos Oggero is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (19 papers), Glycosylation and Glycoproteins Research (12 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 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, Silvia A. Camperi, Ángel Messeguer, Fernando Alberício and Osvaldo Cascone and has published in prestigious journals such as Analytical Biochemistry, European Journal of Biochemistry and Pharmaceutical Research.

In The Last Decade

Marcos Oggero

37 papers receiving 425 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marcos Oggero	305	163	102	45	43	40	436
Armin Sepp	298 1.0×	179 1.1×	88 0.9×	58 1.3×	84 2.0×	36	476
Yuan-Chin Hsieh	252 0.8×	135 0.8×	48 0.5×	69 1.5×	100 2.3×	27	448
Antonella Grigoletto	196 0.6×	90 0.6×	60 0.6×	78 1.7×	62 1.4×	31	409
W. Bloemhoff	275 0.9×	149 0.9×	58 0.6×	52 1.2×	19 0.4×	25	444
Jennifer F. Nemeth	269 0.9×	162 1.0×	87 0.9×	37 0.8×	15 0.3×	22	444
V. A. Nesmeyanov	271 0.9×	62 0.4×	112 1.1×	25 0.6×	32 0.7×	43	438
Anna Robotham	353 1.2×	112 0.7×	62 0.6×	31 0.7×	34 0.8×	25	469
Feliciana Real‐Fernández	249 0.8×	123 0.8×	68 0.7×	22 0.5×	29 0.7×	47	427
Jack H. Pincus	239 0.8×	144 0.9×	79 0.8×	11 0.2×	14 0.3×	25	413
Yi Jiang	205 0.7×	38 0.2×	86 0.8×	30 0.7×	34 0.8×	25	369

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

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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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