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
Comparison fields: 5 of 85
  • Epidemiology 301
  • Molecular Biology 190
  • Physiology 156
  • Immunology 118
  • Surgery 103
Replace F. Oberhäuser with:
F. Oberhäuser Germany
Yuejun Liu China
Bartolomeo Farzati Italy
Yoshinari Obata Japan
Qiang Xiao China
Todd J. Grazia United States
Véronique Chobaz-Péclat Switzerland
Maria Pitrone Italy
Dragana Dragoljevic Australia
Zongxiu Zhang United States
F. Oberhäuser Germany View profile →
Citations per field, relative to Sabine Geiger
Sabine Geiger · 1×
Citations per year, relative to Sabine Geiger
Sabine Geiger · 1×

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
# Work Indexed citations
1 10
2 29
3 73
4 16
5 27
6 7
7 15
8 153
9 211
10 65
11 57
12
[Synovitis pigmentosa villonodularis, a rare temporomandibular joint disease].
3

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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