Julia Feichtinger

1.1k total citations
31 papers, 696 citations indexed

About

Julia Feichtinger is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Julia Feichtinger has authored 31 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Julia Feichtinger's work include Epigenetics and DNA Methylation (4 papers), Vasculitis and related conditions (4 papers) and Genomics and Chromatin Dynamics (3 papers). Julia Feichtinger is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Vasculitis and related conditions (4 papers) and Genomics and Chromatin Dynamics (3 papers). Julia Feichtinger collaborates with scholars based in Austria, United Kingdom and United States. Julia Feichtinger's co-authors include Ramsay J. McFarlane, Lee Larcombe, Gerhard Thallinger, Alexander Deutsch, Jane A. Wakeman, Peter Neumeister, Hildegard Greinix, Martin Pichler, Karoline Fechter and Christine Beham‐Schmid and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Julia Feichtinger

30 papers receiving 681 citations

Peers

Julia Feichtinger
Mareike Roth Austria
Timothy M. Chlon United States
Simon G. Coetzee United States
Antonia Boyer United States
Christopher Flerin United States
Jerry C. Cheng United States
Zhengda Sun United States
Mareike Roth Austria
Julia Feichtinger
Citations per year, relative to Julia Feichtinger Julia Feichtinger (= 1×) peers Mareike Roth

Countries citing papers authored by Julia Feichtinger

Since Specialization
Citations

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

Fields of papers citing papers by Julia Feichtinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Feichtinger

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Feichtinger. A scholar is included among the top collaborators of Julia Feichtinger 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 Feichtinger. Julia Feichtinger 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.
Hatzl, Anna-Maria, et al.. (2024). dMAD7 is a promising tool for targeted gene regulation in the methylotrophic yeast Komagataella phaffii. New Biotechnology. 83. 110–120. 1 indexed citations
2.
Markert, Udo R., P Reif, W Schoell, et al.. (2022). The fate of human SUSD2+ endometrial mesenchymal stem cells during decidualization. Stem Cell Research. 60. 102671–102671. 9 indexed citations
3.
Krstić, Jelena, Alexander Deutsch, Martin Gauster, et al.. (2022). (Dis)similarities between the Decidual and Tumor Microenvironment. Biomedicines. 10(5). 1065–1065. 24 indexed citations
4.
Deutsch, Alexander, Amin El‐Heliebi, Thomas Kroneis, et al.. (2021). Non-coding Natural Antisense Transcripts: Analysis and Application. Journal of Biotechnology. 340. 75–101. 18 indexed citations
5.
Uhl, Barbara, Jelena Krstić, Karoline Fechter, et al.. (2021). Immune Regulatory Processes of the Tumor Microenvironment under Malignant Conditions. International Journal of Molecular Sciences. 22(24). 13311–13311. 75 indexed citations
6.
Stryeck, Sarah, Konrad Lang, Christoph Hahn, et al.. (2021). A local platform for user-friendly FAIR data management and reproducible analytics. Journal of Biotechnology. 341. 43–50. 4 indexed citations
7.
Borek, Izabela, René Köffel, Julia Feichtinger, et al.. (2019). BMP7 aberrantly induced in the psoriatic epidermis instructs inflammation-associated Langerhans cells. Journal of Allergy and Clinical Immunology. 145(4). 1194–1207.e11. 12 indexed citations
8.
Feichtinger, Julia, Barbara Uhl, Hildegard Greinix, et al.. (2019). Deregulated CXCR4-CXCL12 Signaling Impacts on the Pathogenesis of DLBCL. Blood. 134(Supplement_1). 1519–1519. 2 indexed citations
9.
Kuret, Tadeja, Julia Feichtinger, Gerhard Thallinger, et al.. (2018). Gene and miRNA expression in giant cell arteritis—a concise systematic review of significantly modified studies. Clinical Rheumatology. 38(2). 307–316. 3 indexed citations
10.
Feichtinger, Julia, Katja Lakota, Gerhard Thallinger, et al.. (2018). Utility of serological biomarkers for giant cell arteritis in a large cohort of treatment-naïve patients. Clinical Rheumatology. 38(2). 317–329. 34 indexed citations
11.
Fechter, Karoline, Julia Feichtinger, Katharina Prochazka, et al.. (2018). Cytoplasmic location of NR4A1 in aggressive lymphomas is associated with a favourable cancer specific survival. Scientific Reports. 8(1). 14528–14528. 4 indexed citations
12.
Prusty, Bhupesh K., Nitish Gulve, Sheila Govind, et al.. (2018). Active HHV-6 Infection of Cerebellar Purkinje Cells in Mood Disorders. Frontiers in Microbiology. 9. 1955–1955. 42 indexed citations
13.
Deutsch, Alexander, Beate Rinner, Martin Pichler, et al.. (2017). NR4A3 Suppresses Lymphomagenesis through Induction of Proapoptotic Genes. Cancer Research. 77(9). 2375–2386. 22 indexed citations
14.
Kuret, Tadeja, Katja Lakota, Žiga Rotar, et al.. (2017). A concise review of significantly modified serological biomarkers in giant cell arteritis, as detected by different methods. Autoimmunity Reviews. 17(2). 188–194. 17 indexed citations
15.
Feichtinger, Julia, Gerhard Thallinger, Mikhlid H. Almutairi, et al.. (2017). Human germ/stem cell-specific gene TEX19 influences cancer cell proliferation and cancer prognosis. Molecular Cancer. 16(1). 84–84. 20 indexed citations
16.
Feichtinger, Julia, Inmaculada Hernández, Christoph Fischer, et al.. (2016). Comprehensive genome and epigenome characterization of CHO cells in response to evolutionary pressures and over time. Biotechnology and Bioengineering. 113(10). 2241–2253. 113 indexed citations
17.
Feichtinger, Julia, Ramsay J. McFarlane, & Lee Larcombe. (2014). CancerEST: a web-based tool for automatic meta-analysis of public EST data. Database. 2014(0). bau024–bau024. 7 indexed citations
18.
El‐Heliebi, Amin, Thomas Kroneis, Karin Wagner, et al.. (2014). Resolving Tumor Heterogeneity: Genes Involved in Chordoma Cell Development Identified by Low-Template Analysis of Morphologically Distinct Cells. PLoS ONE. 9(2). e87663–e87663. 18 indexed citations
19.
Deutsch, Alexander, Beate Rinner, Kerstin Wenzl, et al.. (2014). NR4A1-mediated apoptosis suppresses lymphomagenesis and is associated with a favorable cancer-specific survival in patients with aggressive B-cell lymphomas. Blood. 123(15). 2367–2377. 33 indexed citations
20.
Feichtinger, Julia, Lee Larcombe, & Ramsay J. McFarlane. (2013). Meta‐analysis of expression of l(3)mbt tumor‐associated germline genes supports the model that a soma‐to‐germline transition is a hallmark of human cancers. International Journal of Cancer. 134(10). 2359–2365. 24 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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