Eduard Urich

2.8k total citations · 1 hit paper
17 papers, 1.5k citations indexed

About

Eduard Urich is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Eduard Urich has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Immunology. Recurrent topics in Eduard Urich's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Immunotherapy and Immune Responses (5 papers) and T-cell and B-cell Immunology (4 papers). Eduard Urich is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Immunotherapy and Immune Responses (5 papers) and T-cell and B-cell Immunology (4 papers). Eduard Urich collaborates with scholars based in Switzerland, Germany and United Kingdom. Eduard Urich's co-authors include Per‐Ola Freskgård, Burkhard Becher, Jens Niewoehner, Ilona Gutcher, Marco Prinz, Hansruedi Loetscher, Petra Rueger, Wilma Lau, Peter Maier and Ludovic Collin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Neuroscience.

In The Last Decade

Eduard Urich

17 papers receiving 1.4k citations

Hit Papers

Increased Brain Penetration and Potency of a Therapeutic ... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Increased Brain Penetration and Potency of a Therapeutic Antibody Using a Monovalent Molecular Shuttle
    2014 438 citations Jens Niewoehner, Bernd Bohrmann et al. Neuron profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eduard Urich Switzerland 13 603 415 329 230 218 17 1.5k
Hadassah Sade Germany 15 607 1.0× 251 0.6× 429 1.3× 331 1.4× 202 0.9× 32 1.4k
Lorena Passoni Italy 19 543 0.9× 232 0.6× 641 1.9× 326 1.4× 70 0.3× 31 1.5k
Nicolae Ghinea France 20 806 1.3× 128 0.3× 118 0.4× 208 0.9× 138 0.6× 43 1.8k
Raymond K. Tong United States 12 1.1k 1.8× 155 0.4× 200 0.6× 582 2.5× 270 1.2× 15 1.7k
Claudine Boiziau France 19 737 1.2× 247 0.6× 205 0.6× 54 0.2× 84 0.4× 43 1.4k
Jill Schartner United States 19 586 1.0× 621 1.5× 1.2k 3.7× 538 2.3× 59 0.3× 27 2.1k
Catherine Cannon United States 5 618 1.0× 673 1.6× 833 2.5× 551 2.4× 241 1.1× 6 2.3k
Deborah E. Hall United States 14 1.0k 1.7× 442 1.1× 145 0.4× 285 1.2× 112 0.5× 16 2.1k
M. Gabriele Bixel Germany 22 846 1.4× 111 0.3× 372 1.1× 200 0.9× 41 0.2× 34 1.8k
Johannes vom Berg Switzerland 15 477 0.8× 279 0.7× 805 2.4× 530 2.3× 73 0.3× 33 1.7k

Countries citing papers authored by Eduard Urich

Since Specialization
Citations

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

Fields of papers citing papers by Eduard Urich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduard Urich

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

All Works

17 of 17 papers shown
1.
Bryois, Julien, Daniela Calini, Will Macnair, et al.. (2022). Cell-type-specific cis-eQTLs in eight human brain cell types identify novel risk genes for psychiatric and neurological disorders. Nature Neuroscience. 25(8). 1104–1112. 106 indexed citations
2.
Tacke, Sabine, et al.. (2022). Effects of a Fully Humanized Type II Anti-CD20 Monoclonal Antibody on Peripheral and CNS B Cells in a Transgenic Mouse Model of Multiple Sclerosis. International Journal of Molecular Sciences. 23(6). 3172–3172. 3 indexed citations
3.
Zhou, Yifan, et al.. (2021). Anti-CD20 Disrupts Meningeal B-Cell Aggregates in a Model of Secondary Progressive Multiple Sclerosis. Neurology Neuroimmunology & Neuroinflammation. 8(3). 18 indexed citations
4.
Wang, Angela Yee‐Moon, Lesley A. Ward, Valeria Ramaglia, Eduard Urich, & Jennifer L. Gommerman. (2021). Impact of B cell-depletion on plasma cells in a pre-clinical model of meningeal inflammation and subpial demyelination. The Journal of Immunology. 206(1_Supplement). 21.06–21.06. 2 indexed citations
5.
Tacke, Sabine, et al.. (2020). Obinutuzumab-Induced B Cell Depletion Reduces Spinal Cord Pathology in a CD20 Double Transgenic Mouse Model of Multiple Sclerosis. International Journal of Molecular Sciences. 21(18). 6864–6864. 6 indexed citations
6.
Campos, Christopher, et al.. (2020). Brain Shuttle Neprilysin reduces central Amyloid-β levels. PLoS ONE. 15(3). e0229850–e0229850. 28 indexed citations
7.
Freskgård, Per‐Ola & Eduard Urich. (2016). Antibody therapies in CNS diseases. Neuropharmacology. 120. 38–55. 98 indexed citations
8.
Urich, Eduard, Roland Schmucki, Nadine Ruderisch, et al.. (2015). Cargo Delivery into the Brain by in vivo identified Transport Peptides. Scientific Reports. 5(1). 14104–14104. 37 indexed citations
9.
Niewoehner, Jens, Bernd Bohrmann, Ludovic Collin, et al.. (2014). Increased Brain Penetration and Potency of a Therapeutic Antibody Using a Monovalent Molecular Shuttle. Neuron. 81(1). 49–60. 438 indexed citations breakdown →
10.
Freskgård, Per‐Ola, Jens Niewoehner, & Eduard Urich. (2014). Time to Open the Blood–Brain Barrier Gate for Biologics?. Future Neurology. 9(3). 243–245. 7 indexed citations
11.
Urich, Eduard, Christoph Patsch, Stefan Aigner, et al.. (2013). Multicellular Self-Assembled Spheroidal Model of the Blood Brain Barrier. Scientific Reports. 3(1). 1500–1500. 125 indexed citations
12.
13.
Pelletier, Nadège, Louise J. McHeyzer‐Williams, K. Wong, et al.. (2010). Plasma cells negatively regulate the follicular helper T cell program. Nature Immunology. 11(12). 1110–1118. 113 indexed citations
14.
Büdingen, H.‐Christian von, et al.. (2007). Pathogen Specificity and Autoimmunity Are Distinct Features of Antigen-Driven Immune Responses in Neuroborreliosis. Infection and Immunity. 75(8). 3842–3847. 29 indexed citations
15.
Gutcher, Ilona, et al.. (2006). Interleukin 18–independent engagement of interleukin 18 receptor-α is required for autoimmune inflammation. Nature Immunology. 7(9). 946–953. 127 indexed citations
16.
Urich, Eduard, Ilona Gutcher, Marco Prinz, & Burkhard Becher. (2006). Autoantibody-mediated demyelination depends on complement activation but not activatory Fc-receptors. Proceedings of the National Academy of Sciences. 103(49). 18697–18702. 54 indexed citations
17.
Polymenidou, Magdalini, Frank L. Heppner, Eduard Urich, et al.. (2004). Humoral immune response to native eukaryotic prion protein correlates with anti-prion protection. Proceedings of the National Academy of Sciences. 101(suppl_2). 14670–14676. 93 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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