Michaela A.E. Arndt

31 total papers · 672 total citations
26 papers, 501 citations indexed

About

Michaela A.E. Arndt is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Michaela A.E. Arndt has authored 26 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Michaela A.E. Arndt's work include Monoclonal and Polyclonal Antibodies Research (19 papers), Glycosylation and Glycoproteins Research (9 papers) and Toxin Mechanisms and Immunotoxins (8 papers). Michaela A.E. Arndt is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (19 papers), Glycosylation and Glycoproteins Research (9 papers) and Toxin Mechanisms and Immunotoxins (8 papers). Michaela A.E. Arndt collaborates with scholars based in Germany, United States and United Kingdom. Michaela A.E. Arndt's co-authors include Jürgen Krauß, Susanna M. Rybak, Jürgen Krauß, Bang K. Vu, Michael Pfreundschuh, Dirk Jäger, Melvyn Little, Dianne L. Newton, Sergey M. Kipriyanov and Stefan Dübel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Journal of Virology.

In The Last Decade

Michaela A.E. Arndt

26 papers receiving 484 citations

Author Peers

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

Author						Papers	Cites
Michaela A.E. Arndt	268	245	171	103	92	26	501
Philip R. Tempest	285 1.1×	365 1.5×	111 0.6×	64 0.6×	93 1.0×	18	560
Christian K. Behrens	193 0.7×	240 1.0×	299 1.7×	98 1.0×	111 1.2×	13	553
Bang K. Vu	286 1.1×	291 1.2×	149 0.9×	72 0.7×	78 0.8×	18	506
Marianna L. Ianzano	78 0.3×	217 0.9×	152 0.9×	55 0.5×	210 2.3×	19	497
Maria Wikman	334 1.2×	287 1.2×	75 0.4×	78 0.8×	184 2.0×	13	566
Rahel Frick	255 1.0×	248 1.0×	142 0.8×	63 0.6×	48 0.5×	16	454
C Bona	189 0.7×	182 0.7×	319 1.9×	176 1.7×	41 0.4×	42	619
Sharon Ryan	172 0.6×	166 0.7×	301 1.8×	68 0.7×	69 0.8×	15	582
Mónica Béquet‐Romero	87 0.3×	317 1.3×	223 1.3×	101 1.0×	180 2.0×	38	582
Philomena Hageman	91 0.3×	217 0.9×	158 0.9×	63 0.6×	107 1.2×	22	493

Countries citing papers authored by Michaela A.E. Arndt

Since Specialization

Citations

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

Fields of papers citing papers by Michaela A.E. Arndt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaela A.E. Arndt. 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 Michaela A.E. Arndt. The network helps show where Michaela A.E. Arndt may publish in the future.

Co-authorship network of co-authors of Michaela A.E. Arndt

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela A.E. Arndt. A scholar is included among the top collaborators of Michaela A.E. Arndt 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 Michaela A.E. Arndt. Michaela A.E. Arndt 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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