Dietmar Egger

598 citations
17 papers · 437 · h-index 11

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Tissue Engineering and Regenerative Medicine
    • Pancreatic function and diabetes

Papers in

Dietmar Egger

16 papers receiving 419 citations

Peers

Dietmar Egger
Comparison fields: 5 of 53
  • Genetics 195
  • Surgery 181
  • Biomaterials 56
  • Developmental Neuroscience 16
  • Hematology 33
Replace Gabriella Andriolo with:
Gabriella Andriolo Italy
Johannes Leibacher Germany
Sung‐Eun Yang United States
Zhi Bo Han China
Kuixing Wang China
A. Alex Hofling United States
D Gopalakrishnan India
Veena Krishnappa United States
Zhexin Zhu China
Matthew Cook Australia
Dietmar Egger relative to Gabriella Andriolo Italy Gabriella Andriolo's profile →
Citations per field
00.5×1.6×
Gabriella Andriolo · 1×
Citations per year

Countries citing papers authored by Dietmar Egger

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Egger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dietmar Egger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dietmar Egger Line = papers co-authored together Dietmar Egger links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2005157
2 200659
3 201246
4 200943
5 201328
6 201218
7 200516
8 200614
9 200813
10 199812
11 201211
12
Experimental treatment of stroke in spontaneously hypertensive rats by CD34+ and CD34- cord blood cells
20058
13 20255
14 19864
15 20222
16 20241
17 19980

About Dietmar Egger

Dietmar Egger is a scholar working on Genetics, Immunology, Molecular Biology, Neurology and Ophthalmology, having authored 17 papers that have together received 437 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Pluripotent Stem Cells Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Retinal Diseases and Treatments (2 papers), Mast cells and histamine (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Genetics (195 citations), Surgery (181 citations), Biomaterials (56 citations), Developmental Neuroscience (16 citations) and Hematology (33 citations). Dietmar Egger has collaborated with scholars based in Germany, Austria and Brazil. Frequent co-authors include Nan Ma, Y Ladilov, Wei Li, Gustav Steinhoff, Brigitte Müller‐Hilke, H.-D. Kleine, Christelle Stamm, Michael Cross, Rüdiger Alt and Anna L. David. Their work appears in journals such as PLoS ONE, Cardiovascular Research, Experimental Hematology, Cell Transplantation and Pediatric Diabetes.

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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