Julia Seyfarth

411 total citations
27 papers, 281 citations indexed

About

Julia Seyfarth is a scholar working on Immunology, Genetics and Infectious Diseases. According to data from OpenAlex, Julia Seyfarth has authored 27 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Genetics and 7 papers in Infectious Diseases. Recurrent topics in Julia Seyfarth's work include Immune Cell Function and Interaction (11 papers), Diabetes and associated disorders (10 papers) and T-cell and B-cell Immunology (8 papers). Julia Seyfarth is often cited by papers focused on Immune Cell Function and Interaction (11 papers), Diabetes and associated disorders (10 papers) and T-cell and B-cell Immunology (8 papers). Julia Seyfarth collaborates with scholars based in Germany, Ghana and Netherlands. Julia Seyfarth's co-authors include Marc Jacobsen, Sonja Binder, Ertan Mayatepek, Helmut Kettenmann, Dennis May, Martin Theis, Oliver Tress, Marta Maglione, Ekrem Dere and Klaus Willecke and has published in prestigious journals such as Journal of Neuroscience, Clinical Infectious Diseases and Brain Research.

In The Last Decade

Julia Seyfarth

26 papers receiving 276 citations

Peers

Julia Seyfarth

IMMUN

NEURO

CMN

GENET

Esther Steiner Switzerland

Aaron M. Williams United States

Sam Horng United States

Anan Shtaya United Kingdom

Barry J. Lewis United Kingdom

Katy Emanuel United States

Nehal Narayan United Kingdom

Sirje Rüütel Boudinot Estonia

Travis B. Lewis United States

Qun Wang China

Esther Steiner Switzerland

Julia Seyfarth

135 ×1.8

29 ×0.5

IMMUN

152 ×2.6

NEURO

69 ×1.5

CMN

60 ×1.3

GENET

Citations per year, relative to Julia Seyfarth Julia Seyfarth (= 1×) peers Esther Steiner

Countries citing papers authored by Julia Seyfarth

Since Specialization

Citations

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

Fields of papers citing papers by Julia Seyfarth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Seyfarth

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

All Works

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20 of 20 papers shown

Owusu, Dorcas, et al.. (2024). Immunopathology in human pulmonary tuberculosis: Inflammatory changes in the plasma milieu and impaired host immune cell functions. Immunology. 172(2). 198–209. 1 indexed citations

Owusu, Dorcas, Ernest Adankwah, Linda Batsa Debrah, et al.. (2023). BCG-Vaccinated Children with Contact to Tuberculosis Patients Show Delayed Conversion of Mycobacterium tuberculosis-Specific IFN-γ Release. Vaccines. 11(4). 855–855. 2 indexed citations

Adankwah, Ernest, Linda Batsa Debrah, Dorcas Owusu, et al.. (2023). Impaired T-cell response to phytohemagglutinin (PHA) in tuberculosis patients is associated with high IL-6 plasma levels and normalizes early during anti-mycobacterial treatment. Infection. 51(4). 1013–1023. 6 indexed citations

Adankwah, Ernest, Linda Batsa Debrah, Dorcas Owusu, et al.. (2023). Diminished Interleukin-7 receptor expression on T-cell subsets in tuberculosis patients. Human Immunology. 84(10). 543–550. 3 indexed citations

Adankwah, Ernest, Linda Batsa Debrah, Dorcas Owusu, et al.. (2022). Cytokine‐induced transient monocyte IL‐7Ra expression and the serum milieu in tuberculosis. European Journal of Immunology. 52(6). 958–969. 2 indexed citations

Enczmann, Jürgen, Vera Balz, Sebastian Kummer, et al.. (2022). Interleukin-7 and soluble Interleukin-7 receptor levels in type 1 diabetes – Impact of IL7RA polymorphisms, HLA risk genotypes and clinical features. Clinical Immunology. 235. 108928–108928. 5 indexed citations

Adankwah, Ernest, Linda Batsa Debrah, Dorcas Owusu, et al.. (2022). Plasma cytokine levels characterize disease pathogenesis and treatment response in tuberculosis patients. Infection. 51(1). 169–179. 14 indexed citations

Kummer, Sebastian, Christina Reinauer, Jürgen Enczmann, et al.. (2021). Interleukin‐7‐dependent nonclassical monocytes and CD40 expression are affected in children with type 1 diabetes. European Journal of Immunology. 51(12). 3214–3227. 9 indexed citations

Seyfarth, Julia, Sebastian Kummer, Christina Reinauer, et al.. (2021). CD5‐expressing CD8⁺ T‐cell subsets differ between children with type 1 diabetes and controls. Immunology and Cell Biology. 99(10). 1077–1084. 1 indexed citations

10.

Lundtoft, Christian, Julia Seyfarth, & Marc Jacobsen. (2020). IL7RA genetic variants differentially affect IL-7Rα expression and alternative splicing: a role in autoimmune and infectious diseases?. Genes and Immunity. 21(2). 83–90. 8 indexed citations

11.

Seyfarth, Julia, Sebastian Kummer, Christina Reinauer, et al.. (2019). CD4+ T-Cells With High Common γ Chain Expression and Disturbed Cytokine Production Are Enriched in Children With Type-1 Diabetes. Frontiers in Immunology. 10. 820–820. 7 indexed citations

12.

Seyfarth, Julia, Joachim Rosenbauer, Christina Baechle, et al.. (2018). CISH promoter polymorphism effects on T cell cytokine receptor signaling and type 1 diabetes susceptibility. PubMed. 5(1). 2–2.

13.

Lundtoft, Christian, Julia Seyfarth, Joachim Rosenbauer, et al.. (2018). Autoimmunity risk- and protection-associated IL7RA genetic variants differentially affect soluble and membrane IL-7Rα expression. Journal of Autoimmunity. 97. 40–47. 11 indexed citations

14.

Seyfarth, Julia, Sivagurunathan Sutharsan, Gerhard Weinreich, et al.. (2018). Higher Interleukin-7 serum concentrations in patients with cystic fibrosis correlate with impaired lung function. Journal of Cystic Fibrosis. 18(1). 71–77. 7 indexed citations

15.

Seyfarth, Julia, Beate Karges, René Deenen, et al.. (2017). Dominant TNFα and impaired IL‐2 cytokine profiles of CD4⁺ T cells from children with type‐1 diabetes. Immunology and Cell Biology. 95(7). 630–639. 8 indexed citations

16.

Seyfarth, Julia, et al.. (2016). BOiS—Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual Priors. Frontiers in Psychology. 7. 749–749. 13 indexed citations

17.

Seyfarth, Julia, et al.. (2013). Tuberkulose. Monatsschrift Kinderheilkunde. 161(8). 697–702. 2 indexed citations

18.

Tress, Oliver, Marta Maglione, Dennis May, et al.. (2012). Panglial Gap Junctional Communication is Essential for Maintenance of Myelin in the CNS. Journal of Neuroscience. 32(22). 7499–7518. 112 indexed citations

19.

Reincke, Martín, et al.. (2010). Grades on the Second Medical Licensing Examination in Germany Before and After the Licensing Reform of 2002. Deutsches Ärzteblatt international. 107(28-29). 500–4. 7 indexed citations

20.

Nebel, Katharina, Holger Wiese, Julia Seyfarth, et al.. (2007). Activity of attention related structures in multiple sclerosis patients. Brain Research. 1151. 150–160. 28 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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