Andreas Lutterotti

6.1k total citations · 1 hit paper
79 papers, 2.9k citations indexed

About

Andreas Lutterotti is a scholar working on Pathology and Forensic Medicine, Immunology and Neurology. According to data from OpenAlex, Andreas Lutterotti has authored 79 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Pathology and Forensic Medicine, 25 papers in Immunology and 24 papers in Neurology. Recurrent topics in Andreas Lutterotti's work include Multiple Sclerosis Research Studies (50 papers), Peripheral Neuropathies and Disorders (19 papers) and Immunotherapy and Immune Responses (19 papers). Andreas Lutterotti is often cited by papers focused on Multiple Sclerosis Research Studies (50 papers), Peripheral Neuropathies and Disorders (19 papers) and Immunotherapy and Immune Responses (19 papers). Andreas Lutterotti collaborates with scholars based in Austria, Switzerland and Germany. Andreas Lutterotti's co-authors include Markus Reindl, Thomas Berger, Roland Martinꝉ, Florian Deisenhammer, Rainer Ehling, Bettina Kuenz, Claudia Gneiss, Franziska Di Pauli, Kathrin Schanda and Ilijas Jelčić and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and Brain.

In The Last Decade

Andreas Lutterotti

77 papers receiving 2.8k citations

Hit Papers

Pathophysiological and cognitive mechanisms of fatigue in... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Lutterotti Austria 29 1.7k 973 805 512 395 79 2.9k
Luca Massacesi Italy 33 1.7k 1.0× 648 0.7× 955 1.2× 552 1.1× 730 1.8× 123 3.3k
Vesna Brinar Croatia 22 2.6k 1.6× 1.2k 1.2× 576 0.7× 781 1.5× 326 0.8× 99 3.5k
Patrice H. Lalive Switzerland 34 1.0k 0.6× 1.0k 1.0× 940 1.2× 251 0.5× 491 1.2× 140 3.3k
Elisabetta Capello Italy 27 1.3k 0.8× 641 0.7× 554 0.7× 263 0.5× 487 1.2× 75 2.5k
Michel Clanet France 28 1.7k 1.0× 1.3k 1.3× 401 0.5× 689 1.3× 358 0.9× 78 3.1k
Jeannette Lechner‐Scott Australia 27 1.9k 1.1× 960 1.0× 426 0.5× 399 0.8× 813 2.1× 158 3.3k
Dorothée Chabas United States 24 1.4k 0.8× 698 0.7× 628 0.8× 587 1.1× 608 1.5× 36 2.8k
Mark S. Freedman Canada 25 2.9k 1.7× 1.3k 1.4× 492 0.6× 937 1.8× 442 1.1× 44 3.5k
Hélène Zéphir France 33 2.6k 1.5× 1.7k 1.8× 419 0.5× 954 1.9× 362 0.9× 121 3.4k
Takuya Matsushita Japan 33 1.7k 1.0× 1.6k 1.6× 635 0.8× 680 1.3× 783 2.0× 126 3.4k

Countries citing papers authored by Andreas Lutterotti

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Lutterotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Lutterotti

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Lutterotti. A scholar is included among the top collaborators of Andreas Lutterotti 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 Andreas Lutterotti. Andreas Lutterotti 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
1.
Docampo, María José, et al.. (2024). Clinical and Immunologic Effects of Paraprobiotics in Long-COVID Patients. Neurology Neuroimmunology & Neuroinflammation. 11(5). e200296–e200296. 6 indexed citations
2.
Gashi, Shkurta, et al.. (2024). Modeling multiple sclerosis using mobile and wearable sensor data. npj Digital Medicine. 7(1). 64–64. 14 indexed citations
3.
4.
Ziegler, Mario, et al.. (2023). Basic CSF parameters and MRZ reaction help in differentiating MOG antibody-associated autoimmune disease versus multiple sclerosis. Frontiers in Immunology. 14. 1237149–1237149. 5 indexed citations
5.
Holz, Christian, et al.. (2022). Continuous monitoring with wearables in multiple sclerosis reveals an association of cardiac autonomic dysfunction with disease severity. Multiple Sclerosis Journal - Experimental Translational and Clinical. 8(2). 3090466636–3090466636. 9 indexed citations
6.
Frontzek, Karl, Marco Losa, Georg Meisl, et al.. (2020). Autoantibodies against the prion protein in individuals with PRNP mutations. Neurology. 95(14). e2028–e2037. 10 indexed citations
7.
Keller, E., Giovanna Brandi, Sebastian Winklhofer, et al.. (2020). Large and Small Cerebral Vessel Involvement in Severe COVID-19. Stroke. 51(12). 3719–3722. 72 indexed citations
8.
Lutterotti, Andreas, et al.. (2020). Digitalisation of the Brief Visuospatial Memory Test-Revised and Evaluation with a Machine Learning Algorithm. Studies in health technology and informatics. 270. 168–172. 4 indexed citations
9.
Planas, Raquel, Radleigh G. Santos, Carolina Cruciani, et al.. (2018). GDP- l -fucose synthase is a CD4 + T cell–specific autoantigen in DRB3*02:02 patients with multiple sclerosis. Science Translational Medicine. 10(462). 64 indexed citations
10.
Lutterotti, Andreas. (2018). Challenges and needs in experimental therapies for multiple sclerosis. Current Opinion in Neurology. 31(3). 263–267. 7 indexed citations
11.
Bsteh, Gabriel, Harald Hegen, Klaus Berek, et al.. (2018). Transient impairment of olfactory threshold in acute multiple sclerosis relapse. Multiple Sclerosis and Related Disorders. 23. 74–77. 14 indexed citations
12.
Peschl, Patrick, Kathrin Schanda, Bleranda Zeka, et al.. (2017). Human antibodies against the myelin oligodendrocyte glycoprotein can cause complement-dependent demyelination. Journal of Neuroinflammation. 14(1). 208–208. 119 indexed citations
13.
Ramberger, Melanie, Birgit Högl, Ambra Stefani, et al.. (2016). CD4+ T-Cell Reactivity to Orexin/Hypocretin in Patients With Narcolepsy Type 1. SLEEP. 40(3). 27 indexed citations
14.
Ehling, Rainer, Franziska Di Pauli, Peter Lackner, et al.. (2015). Impact of glatiramer acetate on paraclinical markers of neuroprotection in multiple sclerosis: A prospective observational clinical trial. Journal of Neuroimmunology. 287. 98–105. 10 indexed citations
15.
Peschl, Patrick, Markus Reindl, Kathrin Schanda, et al.. (2014). Antibody responses following induction of antigen-specific tolerance with antigen-coupled cells. Multiple Sclerosis Journal. 21(5). 651–655. 9 indexed citations
16.
Martinꝉ, Roland & Andreas Lutterotti. (2010). Molecular basis of multiple sclerosis : the immune system. DIAL (Catholic University of Leuven). 1 indexed citations
17.
Lutterotti, Andreas, Mireia Sospedra, & Roland Martinꝉ. (2008). Antigen-specific therapies in MS — Current concepts and novel approaches. Journal of the Neurological Sciences. 274(1-2). 18–22. 25 indexed citations
18.
Gneiss, Claudia, Markus Reindl, Thomas Berger, et al.. (2004). Epitope Specificity of Neutralizing Antibodies Against IFN-β. Journal of Interferon & Cytokine Research. 24(5). 283–290. 22 indexed citations
19.
Reindl, Markus, Rainer Ehling, Kathrin Schanda, et al.. (2003). Serum and cerebrospinal fluid antibodies to Nogo-A in patients with multiple sclerosis and acute neurological disorders. Journal of Neuroimmunology. 145(1-2). 139–147. 58 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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