Ramona Schmitt

21 total papers · 528 total citations
17 papers, 396 citations indexed

About

Ramona Schmitt is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Ramona Schmitt has authored 17 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Ramona Schmitt's work include Immune Cell Function and Interaction (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Ramona Schmitt is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Ramona Schmitt collaborates with scholars based in Germany, Switzerland and Japan. Ramona Schmitt's co-authors include Thomas Göbel, Birgit C. Viertlboeck, Louis Du Pasquier, Matthias Hanczaruk, Martien A. M. Groenen, Friedrich W. Herberg, Felix A. Habermann, Andreas Wortmann, Jiřı́ Plachý and R.P.M.A. Crooijmans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Ramona Schmitt

17 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
Ramona Schmitt	318	95	86	40	29	17	396
Gail A. Theis	198 0.6×	61 0.6×	77 0.9×	100 2.5×	18 0.6×	17	356
S. Grell	201 0.6×	48 0.5×	101 1.2×	103 2.6×	40 1.4×	14	400
M Ramanarayanan	109 0.3×	52 0.5×	133 1.5×	51 1.3×	7 0.2×	22	374
G Urbain-Vansanten	321 1.0×	91 1.0×	92 1.1×	23 0.6×	11 0.4×	17	426
D. K. Tachibana	217 0.7×	48 0.5×	63 0.7×	34 0.8×	5 0.2×	14	373
Michael L. Howe	229 0.7×	40 0.4×	64 0.7×	23 0.6×	7 0.2×	18	390
Andrew R. Crowley	200 0.6×	210 2.2×	163 1.9×	49 1.2×	34 1.2×	14	436
Dominique Juy	276 0.9×	92 1.0×	119 1.4×	50 1.3×	11 0.4×	25	409
Susan Bright	221 0.7×	147 1.5×	103 1.2×	31 0.8×	11 0.4×	16	359
Harutaka Tanaka	167 0.5×	50 0.5×	105 1.2×	40 1.0×	3 0.1×	21	349

Countries citing papers authored by Ramona Schmitt

Since Specialization

Citations

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

Fields of papers citing papers by Ramona Schmitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramona Schmitt

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