Judith Haas

3.1k total citations
56 papers, 1.1k citations indexed

About

Judith Haas is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Neurology. According to data from OpenAlex, Judith Haas has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Pathology and Forensic Medicine, 11 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Judith Haas's work include Multiple Sclerosis Research Studies (36 papers), Peripheral Neuropathies and Disorders (8 papers) and Sphingolipid Metabolism and Signaling (8 papers). Judith Haas is often cited by papers focused on Multiple Sclerosis Research Studies (36 papers), Peripheral Neuropathies and Disorders (8 papers) and Sphingolipid Metabolism and Signaling (8 papers). Judith Haas collaborates with scholars based in Germany, United States and Austria. Judith Haas's co-authors include H.W.L. Ziegler-Heitbrock, G. Riethmüller, O. R. Hommes, Uwe K. Zettl, Patrick A. Baeuerle, Peter Flachenecker, Dieter Pöhlau, David Ellenberger, Alexander Stahmann and Paulus Rommer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Neurology.

In The Last Decade

Judith Haas

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judith Haas Germany 19 577 333 221 216 170 56 1.1k
Carolina Ionete United States 16 495 0.9× 277 0.8× 151 0.7× 251 1.2× 491 2.9× 51 1.3k
Robert Heard Australia 21 414 0.7× 557 1.7× 268 1.2× 120 0.6× 242 1.4× 51 1.3k
Alexander Winkelmann Germany 15 585 1.0× 164 0.5× 156 0.7× 239 1.1× 137 0.8× 43 828
Robert Hoepner Switzerland 19 543 0.9× 169 0.5× 292 1.3× 324 1.5× 178 1.0× 96 1.1k
Christian Lechner Germany 21 320 0.6× 134 0.4× 209 0.9× 318 1.5× 356 2.1× 70 1.5k
Julius M. Cruse United States 22 268 0.5× 478 1.4× 190 0.9× 156 0.7× 182 1.1× 99 1.4k
Djaouïda Bengoufa France 20 327 0.6× 455 1.4× 148 0.7× 186 0.9× 207 1.2× 41 1.4k
Vincenzo Brescia Morra Italy 22 603 1.0× 78 0.2× 146 0.7× 283 1.3× 143 0.8× 76 1.2k
Gloria von Geldern United States 13 304 0.5× 124 0.4× 184 0.8× 214 1.0× 296 1.7× 32 994
Barbara Tucky United States 22 517 0.9× 809 2.4× 512 2.3× 182 0.8× 357 2.1× 29 2.1k

Countries citing papers authored by Judith Haas

Since Specialization
Citations

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

Fields of papers citing papers by Judith Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judith Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Judith Haas. A scholar is included among the top collaborators of Judith Haas 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 Judith Haas. Judith Haas 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.
Frahm, Niklas, David Ellenberger, Judith Haas, et al.. (2023). Frequency and Predictors of Relapses following SARS-CoV-2 Vaccination in Patients with Multiple Sclerosis: Interim Results from a Longitudinal Observational Study. Journal of Clinical Medicine. 12(11). 3640–3640. 4 indexed citations
3.
Staudacher, Erich M., et al.. (2023). Organization of descending neurons in the brain of the desert locust. The Journal of Comparative Neurology. 531(14). 1350–1380. 3 indexed citations
4.
Frahm, Niklas, David Ellenberger, Judith Haas, et al.. (2022). SARS-CoV-2 vaccination in patients with multiple sclerosis in Germany and the United Kingdom: Gender-specific results from a longitudinal observational study. The Lancet Regional Health - Europe. 22. 100502–100502. 17 indexed citations
5.
Frahm, Niklas, David Ellenberger, Peter Flachenecker, et al.. (2022). Therapy Switches in Fingolimod-Treated Patients with Multiple Sclerosis: Long-Term Experience from the German MS Registry. Neurology and Therapy. 11(1). 319–336. 3 indexed citations
6.
Ziemssen, Tjalf, Michael Lang, Stephan Schmidt, et al.. (2022). Long-term real-world effectiveness and safety of fingolimod over 5 years in Germany. Journal of Neurology. 269(6). 3276–3285. 15 indexed citations
7.
Frahm, Niklas, Jörg Bätzing, David Ellenberger, et al.. (2021). Prevalence of pediatric multiple sclerosis in Germany: A nationwide population‐based analysis. European Journal of Neurology. 28(9). 3173–3176. 6 indexed citations
8.
Ellenberger, David, Peter Flachenecker, Tim Friede, et al.. (2021). Chances and challenges of a long-term data repository in multiple sclerosis: 20th birthday of the German MS registry. Scientific Reports. 11(1). 13340–13340. 30 indexed citations
9.
Frahm, Niklas, Jörg Bätzing, David Ellenberger, et al.. (2021). Treatment patterns in pediatric patients with multiple sclerosis in Germany—a nationwide claim-based analysis. Therapeutic Advances in Neurological Disorders. 14. 4203329424–4203329424. 7 indexed citations
10.
Ziemssen, Tjalf, Judith Haas, Luisa Klotz, et al.. (2021). Descriptive Analysis of Real-World Data on Fingolimod Long-Term Treatment of Young Adult RRMS Patients. Frontiers in Neurology. 12. 637107–637107. 4 indexed citations
11.
Rauer, Sebastian, Muna‐Miriam Hoshi, Refik Pul, et al.. (2020). Ocrelizumab Treatment in Patients with Primary Progressive Multiple Sclerosis: Short-term Safety Results from a Compassionate Use Programme in Germany. Clinical Neurology and Neurosurgery. 197. 106142–106142. 5 indexed citations
12.
Ohlmeier, Christoph, Holger Gothe, Judith Haas, et al.. (2020). Epidemiology, characteristics and treatment of patients with relapsing remitting multiple sclerosis and incidence of high disease activity: Real world evidence based on German claims data. PLoS ONE. 15(5). e0231846–e0231846. 23 indexed citations
13.
Ziemssen, Tjalf, Michael Lang, Björn Tackenberg, et al.. (2019). PANGAEA: Effectiveness and safety of fingolimod over 5 years in daily clinical practice (P3.2-086). Neurology. 92(15_supplement). 1 indexed citations
16.
Haas, Judith. (2011). Pathophysiology, assessment and management of multiple sclerosis spasticity: an update. Expert Review of Neurotherapeutics. 11(sup4). 3–8. 14 indexed citations
17.
Ehrlich, Stefan, Judith Haas, Frauke Zipp, & Carmen Infante‐Duarte. (2006). Serum levels of soluble CD95 are not associated with amelioration of multiple sclerosis during pregnancy. Journal of the Neurological Sciences. 252(1). 83–87. 5 indexed citations
18.
Dörner, Thomas, Judith Haas, Christoph Loddenkemper, Hans‐Dieter Volk, & Abdulgabar Salama. (2006). Implant-related inflammatory arthritis. Nature Clinical Practice Rheumatology. 2(1). 53–56. 23 indexed citations
19.
Zipp, Frauke, Uwe Wendling, Martin K. Beyer, et al.. (2000). Dual effect of glucocorticoids on apoptosis of human autoreactive and foreign antigen-specific T cells. Journal of Neuroimmunology. 110(1-2). 214–222. 22 indexed citations
20.
Haas, Judith, G. Riethmüller, & H.W.L. Ziegler-Heitbrock. (1987). Monocyte Phenotype and Function in Patients with the Acquired Immunodeficiency Syndrome (AIDS) and AIDS‐Related Disorders. Scandinavian Journal of Immunology. 26(4). 371–379. 36 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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