Sylvia Nagl

76 total papers · 1.4k total citations
34 papers, 980 citations indexed

About

Sylvia Nagl is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Sylvia Nagl has authored 34 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Immunology. Recurrent topics in Sylvia Nagl's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Simulation Techniques and Applications (5 papers) and Bioinformatics and Genomic Networks (5 papers). Sylvia Nagl is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Simulation Techniques and Applications (5 papers) and Bioinformatics and Genomic Networks (5 papers). Sylvia Nagl collaborates with scholars based in United Kingdom, Germany and India. Sylvia Nagl's co-authors include Johan T. den Dunnen, Gert‐Jan B. van Ommen, Ingrid Stec, J. Victor Small, Mathias Mericskay, Herbert Moessler, D. Paulin, Amos Folarin, Moritz A. Konerding and Manish P. Patel and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Sylvia Nagl

34 papers receiving 964 citations

Author Peers

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

Author						Papers	Cites
Sylvia Nagl	452	166	151	106	103	34	980
Xiaoyan Qiu	474 1.0×	555 3.3×	257 1.7×	60 0.6×	137 1.3×	46	1.1k
J.R. Rubini	231 0.5×	153 0.9×	102 0.7×	79 0.7×	137 1.3×	21	893
A Fabiano	300 0.7×	97 0.6×	136 0.9×	93 0.9×	212 2.1×	22	991
Angela Holder	359 0.8×	166 1.0×	63 0.4×	170 1.6×	91 0.9×	35	910
Pilar Muñoz	406 0.9×	410 2.5×	60 0.4×	183 1.7×	165 1.6×	37	1.0k
Caroline Desmetz	380 0.8×	273 1.6×	174 1.2×	44 0.4×	114 1.1×	30	943
Jacqueline M. Tarrant	302 0.7×	238 1.4×	57 0.4×	43 0.4×	124 1.2×	34	1.0k
Klara Valyi‐Nagy	463 1.0×	156 0.9×	43 0.3×	81 0.8×	182 1.8×	46	957
Wenyan Zhong	400 0.9×	168 1.0×	96 0.6×	48 0.5×	382 3.7×	32	979
Debra L. Wood	404 0.9×	175 1.1×	77 0.5×	52 0.5×	243 2.4×	32	846

Countries citing papers authored by Sylvia Nagl

Since Specialization

Citations

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

Fields of papers citing papers by Sylvia Nagl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Nagl

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Nagl. A scholar is included among the top collaborators of Sylvia Nagl 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 Sylvia Nagl. Sylvia Nagl 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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