Julia Obländer

796 total citations
10 papers, 66 citations indexed

About

Julia Obländer is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Julia Obländer has authored 10 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Hematology and 2 papers in Genetics. Recurrent topics in Julia Obländer's work include Acute Myeloid Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). Julia Obländer is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). Julia Obländer collaborates with scholars based in Germany, China and United States. Julia Obländer's co-authors include Verena Nowak, Daniel Nowak, Florian Nolte, Wolf‐Karsten Hofmann, Vladimir Riabov, Eva Altrock, Johanna Flach, Georgia Metzgeroth, Johann-Christoph Jann and Qingyu Xu and has published in prestigious journals such as Nature Communications, Blood and International Journal of Molecular Sciences.

In The Last Decade

Julia Obländer

9 papers receiving 66 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Obländer Germany 4 39 31 18 12 9 10 66
Marie‐Agnès Collonge‐Rame France 5 36 0.9× 23 0.7× 19 1.1× 22 1.8× 13 1.4× 11 69
Jarosław Czyż Poland 6 45 1.2× 33 1.1× 20 1.1× 8 0.7× 23 2.6× 17 85
Nelli Frank Austria 4 38 1.0× 30 1.0× 17 0.9× 6 0.5× 25 2.8× 6 90
Samuel Pevzner United States 2 43 1.1× 77 2.5× 7 0.4× 11 0.9× 7 0.8× 4 103
Stefano Ulisciani Italy 4 71 1.8× 40 1.3× 45 2.5× 4 0.3× 10 1.1× 6 96
Stuart Meacham United Kingdom 4 48 1.2× 37 1.2× 15 0.8× 22 1.8× 2 0.2× 5 91
Sergio Daga Italy 6 32 0.8× 66 2.1× 16 0.9× 45 3.8× 4 0.4× 9 120
Larissa Arning Germany 3 22 0.6× 26 0.8× 10 0.6× 7 0.6× 6 0.7× 3 55
Bandana Ajay Vishwakarma United States 4 64 1.6× 73 2.4× 36 2.0× 23 1.9× 7 0.8× 6 113
Elodie Burcklen Switzerland 3 45 1.2× 18 0.6× 21 1.2× 7 0.6× 3 0.3× 3 67

Countries citing papers authored by Julia Obländer

Since Specialization
Citations

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

Fields of papers citing papers by Julia Obländer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Obländer

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

All Works

10 of 10 papers shown
1.
Xu, Qingyu, Ling Ma, Eva Altrock, et al.. (2025). Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer. Cell Communication and Signaling. 23(1). 169–169.
2.
Xu, Qingyu, Eva Altrock, Verena Nowak, et al.. (2023). In Silico Pan-Cancer Analysis Reveals Prognostic Role of the Erythroferrone (ERFE) Gene in Human Malignancies. International Journal of Molecular Sciences. 24(2). 1725–1725. 1 indexed citations
3.
Jann, Johann-Christoph, Maximilian Mossner, Vladimir Riabov, et al.. (2021). Bone marrow derived stromal cells from myelodysplastic syndromes are altered but not clonally mutated in vivo. Nature Communications. 12(1). 6170–6170. 12 indexed citations
4.
Jann, Johann-Christoph, Florian Nolte, Verena Nowak, et al.. (2020). RNA-sequencing of acute promyelocytic leukemia primary blasts reveals novel molecular biomarkers of early death events. Leukemia & lymphoma. 61(13). 3066–3077. 4 indexed citations
5.
Flach, Johanna, Johann-Christoph Jann, Vladimir Riabov, et al.. (2020). Replication stress signaling is a therapeutic target in myelodysplastic syndromes with splicing factor mutations. Haematologica. 106(11). 2906–2917. 24 indexed citations
6.
Luft, Thomas, Stéphanie Fey, Julia Obländer, et al.. (2014). The Fas Ligand Inhibitor APG101 in Transfusion Dependent Patients with Low Risk MDS: Interim Results from a Phase I Study. Blood. 124(21). 4669–4669. 1 indexed citations
7.
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9.
Mossner, Maximilian, Florian Nolte, Gero Hütter, et al.. (2013). Skewed X-inactivation patterns in ageing healthy and myelodysplastic haematopoiesis determined by a pyrosequencing based transcriptional clonality assay. Journal of Medical Genetics. 50(2). 108–117. 18 indexed citations
10.

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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2026