Günter Lepperdinger
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Cell Biology top 2%
- Proteoglycans and glycosaminoglycans research
Papers in
-
- Glycosylation and Glycoproteins Research 7
- Genetics 20
- Mesenchymal stem cell research 20
- Co-authors
- Christine Fehrer (10 shared papers)Günther Kreil (5 shared papers)Beatrix Grubeck‐Loebenstein (10 shared papers)Peter Berger (3 shared papers)Gerhard Laschober (13 shared papers)Regina Brunauer (13 shared papers)Stephan Reitinger (11 shared papers)Johannes Müllegger (10 shared papers)
- Journals
- Experimental Gerontology (8 papers)Gerontology (4 papers)Biological Chemistry (3 papers)Journal of Biological Chemistry (3 papers)Mechanisms of Development (3 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Günter Lepperdinger
82 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Genetics 905
- Cell Biology 651
- Aging 69
- Immunology 524
- Cancer Research 372
Countries citing papers authored by Günter Lepperdinger
This map shows the geographic impact of Günter Lepperdinger'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 Günter Lepperdinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Günter Lepperdinger more than expected).
Fields of papers citing papers by Günter Lepperdinger
This network shows the impact of papers produced by Günter Lepperdinger. 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 Günter Lepperdinger. The network helps show where Günter Lepperdinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Günter Lepperdinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | How sex and age affect immune responses, susceptibility to infections, and response to vaccination Hit paper breakdown → | 2015 | 522 |
| 2 | 2007 | 398 | |
| 3 | 1998 | 243 | |
| 4 | 2005 | 208 | |
| 5 | 2004 | 151 | |
| 6 | 2001 | 132 | |
| 7 | 2010 | 123 | |
| 8 | 2011 | 115 | |
| 9 | 2003 | 104 | |
| 10 | 2008 | 95 | |
| 11 | 2014 | 92 | |
| 12 | 1999 | 81 | |
| 13 | 2011 | 79 | |
| 14 | 2000 | 78 | |
| 15 | 2008 | 77 | |
| 16 | 2006 | 76 | |
| 17 | 2005 | 72 | |
| 18 | 2001 | 71 | |
| 19 | 2011 | 70 | |
| 20 | 2006 | 63 |
About Günter Lepperdinger
Günter Lepperdinger is a scholar working on Molecular Biology, Genetics, Cell Biology, Surgery and Biomedical Engineering, having authored 83 papers that have together received 3.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (20 papers), Proteoglycans and glycosaminoglycans research (16 papers), Tissue Engineering and Regenerative Medicine (10 papers), Immune Cell Function and Interaction (7 papers), Glycosylation and Glycoproteins Research (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), T-cell and B-cell Immunology (6 papers) and Telomeres, Telomerase, and Senescence (6 papers). The work is most often cited by research in Genetics (905 citations), Cell Biology (651 citations), Aging (69 citations), Immunology (524 citations) and Cancer Research (372 citations). Günter Lepperdinger has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Christine Fehrer, Günther Kreil, Beatrix Grubeck‐Loebenstein, Peter Berger, Gerhard Laschober, Regina Brunauer, Stephan Reitinger, Johannes Müllegger, Birgit Strobl and Frank Kloss. Their work appears in journals such as Experimental Gerontology, Gerontology, Biological Chemistry, Journal of Biological Chemistry and Mechanisms of Development.
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.