Sabine Geiger

1.1k total citations
12 papers, 666 citations indexed

About

Sabine Geiger is a scholar working on Genetics, Genetics and Infectious Diseases. According to data from OpenAlex, Sabine Geiger has authored 12 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Sabine Geiger's work include Virus-based gene therapy research (5 papers), Mesenchymal stem cell research (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Sabine Geiger is often cited by papers focused on Virus-based gene therapy research (5 papers), Mesenchymal stem cell research (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Sabine Geiger collaborates with scholars based in United States, Austria and Germany. Sabine Geiger's co-authors include Alexander R. Moschen, Herbert Tilg, Clemens Molnar, Christoph Ebenbichler, Arthur Kaser, Felix G. Hermann, Daniela Hirsch, Barbara Enrich, I Graziadei and Herbert Tilg and has published in prestigious journals such as Gut, Molecular Therapy and Oncotarget.

In The Last Decade

Sabine Geiger

12 papers receiving 656 citations

Peers

Sabine Geiger
Sabine Geiger
Citations per year, relative to Sabine Geiger Sabine Geiger (= 1×) peers F. Oberhäuser

Countries citing papers authored by Sabine Geiger

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Geiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Geiger

This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Geiger. A scholar is included among the top collaborators of Sabine Geiger 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 Sabine Geiger. Sabine Geiger 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.
Geiger, Sabine, Emrah Ilker Ozay, Sudarvili Shanthalingam, et al.. (2019). Alpha-1 Antitrypsin-Expressing Mesenchymal Stromal Cells Confer a Long-Term Survival Benefit in a Mouse Model of Lethal GvHD. Molecular Therapy. 27(8). 1436–1451. 10 indexed citations
2.
Dührsen, Lasse, Daniela Hirsch, Sabine Geiger, et al.. (2019). Preclinical analysis of human mesenchymal stem cells: tumor tropism and therapeutic efficiency of local HSV-TK suicide gene therapy in glioblastoma. Oncotarget. 10(58). 6049–6061. 29 indexed citations
3.
Geiger, Sabine, Daniela Hirsch, & Felix G. Hermann. (2017). Cell therapy for lung disease. European Respiratory Review. 26(144). 170044–170044. 73 indexed citations
4.
Urbinati, Fabrizia, Sabine Geiger, Beatriz Campo Fernandez, et al.. (2017). Preclinical studies for a phase 1 clinical trial of autologous hematopoietic stem cell gene therapy for sickle cell disease. Cytotherapy. 19(9). 1096–1112. 16 indexed citations
5.
Urbinati, Fabrizia, Phillip W. Hargrove, Sabine Geiger, et al.. (2015). Potentially therapeutic levels of anti-sickling globin gene expression following lentivirus-mediated gene transfer in sickle cell disease bone marrow CD34+ cells. Experimental Hematology. 43(5). 346–351. 27 indexed citations
6.
Tarantal, Alice F., Xiaoyan Wang, Cinnamon L Hardee, et al.. (2014). Effects of Vector Backbone and Pseudotype on Lentiviral Vector-mediated Gene Transfer: Studies in Infant ADA-Deficient Mice and Rhesus Monkeys. Molecular Therapy. 22(10). 1803–1816. 7 indexed citations
7.
Moschen, Alexander R., Sabine Geiger, Felix Aigner, et al.. (2014). The role of lipocalin‐2 in liver regeneration. Liver International. 35(4). 1195–1202. 15 indexed citations
8.
Moschen, Alexander R., Clemens Molnar, Barbara Enrich, et al.. (2011). Adipose and Liver Expression of Interleukin (IL)-1 Family Members in Morbid Obesity and Effects of Weight Loss. Molecular Medicine. 17(7-8). 840–845. 153 indexed citations
9.
Moschen, Alexander R., Clemens Molnar, Sabine Geiger, et al.. (2010). Anti-inflammatory effects of excessive weight loss: potent suppression of adipose interleukin 6 and tumour necrosis factor α expression. Gut. 59(9). 1259–1264. 211 indexed citations
10.
Moschen, Alexander R., Sabine Geiger, Romana R. Gerner, & Herbert Tilg. (2009). Pre-B cell colony enhancing factor/NAMPT/visfatin and its role in inflammation-related bone disease. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 690(1-2). 95–101. 65 indexed citations
11.
Moschen, Alexander R., et al.. (2008). Interferon-alpha controls IL-17 expression in vitro and in vivo. Immunobiology. 213(9-10). 779–787. 57 indexed citations
12.
Geiger, Sabine, et al.. (1980). [Synovitis pigmentosa villonodularis, a rare temporomandibular joint disease].. PubMed. 25. 129–32. 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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