Eva Reuter

587 total citations
11 papers, 153 citations indexed

About

Eva Reuter is a scholar working on Immunology, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Eva Reuter has authored 11 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Pathology and Forensic Medicine and 3 papers in Rheumatology. Recurrent topics in Eva Reuter's work include Immunotherapy and Immune Responses (3 papers), Multiple Sclerosis Research Studies (3 papers) and Systemic Lupus Erythematosus Research (3 papers). Eva Reuter is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Multiple Sclerosis Research Studies (3 papers) and Systemic Lupus Erythematosus Research (3 papers). Eva Reuter collaborates with scholars based in Germany, Netherlands and United States. Eva Reuter's co-authors include Frauke Zipp, Amgad Droby, Vinzenz Fleischer, Nabin Koirala, Magdalena Paterka, Adriane Gröger, Sergiu Groppa, Volker Siffrin, Pierre Kolber and Sven G. Meuth and has published in prestigious journals such as Journal of Neuroscience, The Journal of Immunology and Gastroenterology.

In The Last Decade

Eva Reuter

11 papers receiving 152 citations

Peers

Eva Reuter
Marloes Hagens Netherlands
Jack Zwemmer Netherlands
Agniete Kampaite United Kingdom
Richard Daniëls United States
Manuel Marzin Netherlands
Rehiana Ali United Kingdom
Christopher Halfpenny United Kingdom
Carolin Muth Germany
Marloes Hagens Netherlands
Eva Reuter
Citations per year, relative to Eva Reuter Eva Reuter (= 1×) peers Marloes Hagens

Countries citing papers authored by Eva Reuter

Since Specialization
Citations

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

Fields of papers citing papers by Eva Reuter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Reuter

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Reuter. A scholar is included among the top collaborators of Eva Reuter 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 Eva Reuter. Eva Reuter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Paterka, Magdalena, Jan Oliver Voß, Eva Reuter, et al.. (2016). Dendritic cells tip the balance towards induction of regulatory T cells upon priming in experimental autoimmune encephalomyelitis. Journal of Autoimmunity. 76. 108–114. 18 indexed citations
2.
Fleischer, Vinzenz, Adriane Gröger, Nabin Koirala, et al.. (2016). Increased structural white and grey matter network connectivity compensates for functional decline in early multiple sclerosis. Multiple Sclerosis Journal. 23(3). 432–441. 58 indexed citations
3.
Droby, Amgad, Philipp Albrecht, Eva Reuter, et al.. (2015). A novel automated segmentation method for retinal layers in OCT images proves retinal degeneration after optic neuritis. British Journal of Ophthalmology. 100(4). 484–490. 10 indexed citations
4.
Reuter, Eva, René Gollan, Magdalena Paterka, et al.. (2015). Cross-Recognition of a Myelin Peptide by CD8+T Cells in the CNS Is Not Sufficient to Promote Neuronal Damage. Journal of Neuroscience. 35(12). 4837–4850. 9 indexed citations
5.
Droby, Amgad, et al.. (2015). Putaminal alteration in multiple sclerosis patients with spinal cord lesions. Journal of Neural Transmission. 122(10). 1465–1473. 4 indexed citations
6.
Reuter, Eva, Juliane Weber, Magdalena Paterka, et al.. (2015). Role of Sortilin in Models of Autoimmune Neuroinflammation. The Journal of Immunology. 195(12). 5762–5769. 13 indexed citations
7.
Atreya, Raja, Clemens Neufert, Yurdagül Zopf, et al.. (2013). P209 In vivo molecular imaging using fluorescent anti-TNF antibodies and confocal laser endomicroscopy predicts response to anti-TNF therapy in Crohn's disease patients. Journal of Crohn s and Colitis. 7. S92–S93. 4 indexed citations
8.
Leuenberger, Tina, Magdalena Paterka, Eva Reuter, et al.. (2013). The Role of CD8+ T Cells and Their Local Interaction with CD4+ T Cells in Myelin Oligodendrocyte Glycoprotein35–55–Induced Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 191(10). 4960–4968. 24 indexed citations
9.
Atreya, Raja, Helmut Neumann, Clemens Neufert, et al.. (2013). 473 In Vivo Molecular Imaging Using Fluorescent Anti-TNF Antibodies and Confocal Laser Endomicroscopy Predicts Response to Anti-TNF Therapy in Crohn's Disease. Gastroenterology. 144(5). S–85. 6 indexed citations
10.
Reuter, Eva, et al.. (1999). High RBC labeling efficiency by controlling pretinning with the modified in vivo/in vitro labeling method.. PubMed. 27(3). 222–6. 6 indexed citations
11.
Reuter, Eva. (1972). [Side-effects of tetracyclines].. PubMed. 67(39). 1256–61. 1 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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