Ursula Boschert

5.2k total citations
55 papers, 4.2k citations indexed

About

Ursula Boschert is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Ursula Boschert has authored 55 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Genetics and 14 papers in Immunology. Recurrent topics in Ursula Boschert's work include Chronic Lymphocytic Leukemia Research (15 papers), Protein Tyrosine Phosphatases (11 papers) and Multiple Sclerosis Research Studies (9 papers). Ursula Boschert is often cited by papers focused on Chronic Lymphocytic Leukemia Research (15 papers), Protein Tyrosine Phosphatases (11 papers) and Multiple Sclerosis Research Studies (9 papers). Ursula Boschert collaborates with scholars based in United States, Switzerland and Germany. Ursula Boschert's co-authors include Steve Arkinstall, Marco Muda, Montserrat Camps, René Hen, Corine Gilliéron, N Amlaiky, Jean‐Luc Plassat, Christian Chabert, Bruno Antonsson and Djamel Aït Amara and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ursula Boschert

54 papers receiving 4.2k citations

Peers

Ursula Boschert
Axel Methner Germany
Michal Hetman United States
Georges Tocco United States
Patrizia De Sarno United States
Andrew R. Calver United Kingdom
Sung Ok Yoon United States
Sergey A. Krupenko United States
Ursula Boschert
Citations per year, relative to Ursula Boschert Ursula Boschert (= 1×) peers Bettina Holtmann

Countries citing papers authored by Ursula Boschert

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Boschert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Boschert

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

All Works

20 of 20 papers shown
2.
Fissolo, Nicolás, Laura Calvo‐Barreiro, Herena Eixarch, et al.. (2023). Molecular signature associated with cladribine treatment in patients with multiple sclerosis. Frontiers in Immunology. 14. 1233546–1233546. 3 indexed citations
3.
Bhargava, Pavan, Sol Kim, Roland Grenningloh, et al.. (2021). Imaging meningeal inflammation in CNS autoimmunity identifies a therapeutic role for BTK inhibition. Brain. 144(5). 1396–1408. 56 indexed citations
4.
Rijvers, Liza, Marie‐José Melief, Jamie van Langelaar, et al.. (2021). Brain-homing B cells in multiple sclerosis: association with Bruton’s tyrosine kinase and targeting by evobrutinib (4095). Neurology. 96(15_supplement). 1 indexed citations
5.
Giovannoni, Gavin, Thomas Leist, Per Soelberg Sørensen, et al.. (2020). Revealing the Immune Cell Subtype Reconstitution Profile in Cladribine Treated Patients at the 96 Week Timepoint (CLARITY) Using Deconvolution Algorithms (1520). Neurology. 94(15_supplement). 1 indexed citations
6.
Wu, Gregory F., Ursula Boschert, Brooke Hayward, et al.. (2020). CLOCK-MS: Evaluating the Mechanism of Action of Cladribine Tablets via CNS and Blood Biomarkers in MS (4196). Neurology. 94(15_supplement). 1 indexed citations
7.
Martin, Elodie, Marie‐Stéphane Aigrot, Roland Grenningloh, et al.. (2019). Bruton’s Tyrosine Kinase Inhibition Promotes Myelin Repair. PubMed. 5(2). 123–133. 57 indexed citations
8.
Crawford, Daniel K., Dongzi Yu, Frédéric Bernard, et al.. (2014). ONO-4641 (Ceralifimod) Prevents Evoked Potential Deficits in an Animal Model of Multiple Sclerosis (P1.218). Neurology. 82(10_supplement). 1 indexed citations
9.
Carboni, Susanna, et al.. (2007). AS601245, a c‐Jun NH2‐terminal kinase (JNK) inhibitor, reduces axon/dendrite damage and cognitive deficits after global cerebral ischaemia in gerbils. British Journal of Pharmacology. 153(1). 157–163. 41 indexed citations
10.
Selvaraju, Ram Kumar, et al.. (2006). Differential effects of chemokines on oligodendrocyte precursor proliferation and myelin formation in vitro. Journal of Neuroimmunology. 174(1-2). 133–146. 65 indexed citations
11.
Abel, Bernd, Stefan Freigang, Martin F. Bachmann, Ursula Boschert, & Manfred Köpf. (2005). Osteopontin Is Not Required for the Development of Th1 Responses and Viral Immunity. The Journal of Immunology. 175(9). 6006–6013. 28 indexed citations
12.
Bernasconi, Lilia, Christophe Losberger, Pierre Graber, et al.. (2004). Osteopontin is upregulated during in vivo demyelination and remyelination and enhances myelin formation in vitro. Molecular and Cellular Neuroscience. 25(4). 707–721. 134 indexed citations
13.
Boschert, Ursula, Emilio Merlo‐Pich, Guy A. Higgins, A D Roses, & S. Catsicas. (1999). Apolipoprotein E Expression by Neurons Surviving Excitotoxic Stress. Neurobiology of Disease. 6(6). 508–514. 90 indexed citations
14.
Camps, Montserrat, Christian Chabert, Marco Muda, et al.. (1998). Induction of the mitogen‐activated protein kinase phosphatase MKP3 by nerve growth factor in differentiating PC12. FEBS Letters. 425(2). 271–276. 60 indexed citations
15.
Muda, Marco, Aspasia Theodosiou, Corine Gilliéron, et al.. (1998). The Mitogen-activated Protein Kinase Phosphatase-3 N-terminal Noncatalytic Region Is Responsible for Tight Substrate Binding and Enzymatic Specificity. Journal of Biological Chemistry. 273(15). 9323–9329. 133 indexed citations
16.
Boschert, Ursula, Marco Muda, Montserrat Camps, Robin J. Dickinson, & Steve Arkinstall. (1997). Induction of the dual specificity phosphatase PAC1 in rat brain following seizure activity. Neuroreport. 8(14). 3077–3080. 24 indexed citations
17.
Muda, Marco, Aspasia Theodosiou, Nanda R. Rodrigues, et al.. (1996). The Dual Specificity Phosphatases M3/6 and MKP-3 Are Highly Selective for Inactivation of Distinct Mitogen-activated Protein Kinases. Journal of Biological Chemistry. 271(44). 27205–27208. 341 indexed citations
18.
Muda, Marco, Ursula Boschert, Robin J. Dickinson, et al.. (1996). MKP-3, a Novel Cytosolic Protein-tyrosine Phosphatase That Exemplifies a New Class of Mitogen-activated Protein Kinase Phosphatase. Journal of Biological Chemistry. 271(8). 4319–4326. 309 indexed citations
19.
Boschert, Ursula, Djamel Aït Amara, Louis Ségu, & René Hen. (1994). The mouse 5-hydroxytryptamine 1B receptor is localized predominantly on axon terminals. Neuroscience. 58(1). 167–182. 298 indexed citations
20.
Boschert, Ursula, et al.. (1990). Genetic and Developmental Analysis of irreC, a Genetic Function Required for Optic Chiasm Formation in Drosophila. Journal of Neurogenetics. 6(3). 153–171. 47 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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