Eva‐Maria Wicklein

451 total citations
12 papers, 177 citations indexed

About

Eva‐Maria Wicklein is a scholar working on Pathology and Forensic Medicine, Immunology and Oncology. According to data from OpenAlex, Eva‐Maria Wicklein has authored 12 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Eva‐Maria Wicklein's work include Multiple Sclerosis Research Studies (6 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Systemic Lupus Erythematosus Research (2 papers). Eva‐Maria Wicklein is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Systemic Lupus Erythematosus Research (2 papers). Eva‐Maria Wicklein collaborates with scholars based in Germany, United States and Canada. Eva‐Maria Wicklein's co-authors include Gilles Edan, Xavier Montalbán, Ludwig Kappos, Hans‐Peter Hartung, Kassandra L. Munger, Alberto Ascherio, Christoph Pohl, Ernst‐Wilhelm Radue, Kathryn C. Fitzgerald and Mark S. Freedman and has published in prestigious journals such as Neurology, Annals of Neurology and Journal of Neurology.

In The Last Decade

Eva‐Maria Wicklein

11 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva‐Maria Wicklein Germany 6 108 33 29 25 22 12 177
Wanying Zhang China 8 17 0.2× 25 0.8× 75 2.6× 12 0.5× 19 0.9× 16 205
Łukasz Smoliński Poland 10 33 0.3× 9 0.3× 51 1.8× 28 1.1× 6 0.3× 19 295
Aleksandra Kaczka Poland 9 25 0.2× 13 0.4× 37 1.3× 4 0.2× 8 0.4× 25 275
Beatriz F. Côrte‐Real Belgium 6 16 0.1× 52 1.6× 53 1.8× 3 0.1× 20 0.9× 7 157
Julia Nowowiejska Poland 11 21 0.2× 186 5.6× 90 3.1× 6 0.2× 6 0.3× 38 312
Sarpreet Basra United States 4 67 0.6× 26 0.8× 119 4.1× 6 0.2× 3 0.1× 5 365
Yoshiharu Akazawa Japan 11 30 0.3× 9 0.3× 113 3.9× 13 0.5× 15 0.7× 24 350
Deepika Garg United States 9 33 0.3× 50 1.5× 42 1.4× 4 0.2× 178 8.1× 18 394
Elif Turan Türkiye 8 24 0.2× 43 1.3× 24 0.8× 3 0.1× 10 0.5× 27 169

Countries citing papers authored by Eva‐Maria Wicklein

Since Specialization
Citations

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

Fields of papers citing papers by Eva‐Maria Wicklein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva‐Maria Wicklein

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

All Works

12 of 12 papers shown
1.
Kappos, Ludwig, Gilles Edan, Mark S. Freedman, et al.. (2024). Long-term clinical outcomes in patients with CIS treated with interferon beta-1b: results from the 15-year follow up of the BENEFIT trial. Journal of Neurology. 271(7). 4599–4609.
2.
Munger, Kassandra L., Kjetil Bjørnevik, Marianna Cortese, et al.. (2022). A Prospective Study of Serum Levels of Polyunsaturated Fatty Acids and Effects on Multiple Sclerosis Disease Activity and Progression (S40.006). Neurology. 98(18_supplement). 2 indexed citations
3.
Cortese, Marianna, Kjetil Bjørnevik, Clary B. Clish, et al.. (2022). Bile Acids Metabolites as Predictors of long-term Multiple Sclerosis Progression (S5.004). Neurology. 98(18_supplement). 1 indexed citations
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Cortese, Marianna, Kassandra L. Munger, Christian Barro, et al.. (2020). Vitamin D, smoking, EBV, and long-term cognitive performance in MS. Neurology. 94(18). e1950–e1960. 46 indexed citations
7.
Hellwig, Kerstin, et al.. (2020). Pregnancy outcomes from the global pharmacovigilance database on interferon beta-1b exposure. Therapeutic Advances in Neurological Disorders. 13. 1279131878–1279131878. 14 indexed citations
8.
Goodin, Douglas S., Anthony T. Reder, Anthony Traboulsee, et al.. (2018). Predictive validity of NEDA in the 16- and 21-year follow-up from the pivotal trial of interferon beta-1b. Multiple Sclerosis Journal. 25(6). 837–847. 21 indexed citations
9.
Fitzgerald, Kathryn C., Kassandra L. Munger, Hans‐Peter Hartung, et al.. (2017). Sodium intake and multiple sclerosis activity and progression in BENEFIT. Annals of Neurology. 82(1). 20–29. 68 indexed citations
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11.
Langdon, Dawn, RHB Benedict, Eva‐Maria Wicklein, K. Beckmann, & S. Fredrikson. (2013). Reports of Patients and Relatives from the CogniCIS Study about Cognition in Clinically Isolated Syndrome: What Are Our Patients Telling Us?. European Neurology. 69(6). 346–351. 5 indexed citations
12.
Hagströmer, María, et al.. (2007). The BEGIN study : assessment of physical activity, fatigue and health-related quality of life in the early stages of multiple sclerosis. 3 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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