Philipp Stiegler
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Hepatology top 5%
- Liver Disease and Transplantation
Papers in
- Surgery 43
- Organ Transplantation Techniques and Outcomes 22
- Pancreatic function and diabetes 11
- Transplantation: Methods and Outcomes 8
-
- Gut microbiota and health 9
- Co-authors
- Bettina Leber (56 shared papers)Vanessa Stadlbauer (44 shared papers)Peter Schemmer (27 shared papers)Karlheinz Tscheliessnigg (26 shared papers)Kęstutis Strupas (23 shared papers)Angela Horvath (18 shared papers)Michael Sereinigg (21 shared papers)Peter Fickert (11 shared papers)
In The Last Decade
Philipp Stiegler
120 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 143
- Transplantation 133
- Hepatology 227
- Nephrology 92
- Surgery 469
- Biological Psychiatry 22
Countries citing papers authored by Philipp Stiegler
This map shows the geographic impact of Philipp Stiegler'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 Philipp Stiegler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Stiegler more than expected).
Fields of papers citing papers by Philipp Stiegler
This network shows the impact of papers produced by Philipp Stiegler. 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 Philipp Stiegler. The network helps show where Philipp Stiegler may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Stiegler, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 125 | |
| 2 | 2016 | 99 | |
| 3 | 2017 | 63 | |
| 4 | 2019 | 58 | |
| 5 | 2017 | 54 | |
| 6 | 2021 | 54 | |
| 7 | 2010 | 52 | |
| 8 | 2015 | 51 | |
| 9 | 2014 | 48 | |
| 10 | 2012 | 45 | |
| 11 | 2013 | 44 | |
| 12 | 2016 | 42 | |
| 13 | 2006 | 42 | |
| 14 | 2011 | 41 | |
| 15 | 2005 | 41 | |
| 16 | 2020 | 38 | |
| 17 | 2013 | 35 | |
| 18 | 2010 | 35 | |
| 19 | Dynamic modeling of large-scale networks with application to gas distribution | 1988 | 35 |
| 20 | 2010 | 34 |
About Philipp Stiegler
Philipp Stiegler is a scholar working on Surgery, Molecular Biology, Hepatology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 123 papers that have together received 1.9k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (22 papers), Liver Disease and Transplantation (16 papers), Organ Donation and Transplantation (13 papers), Pancreatic function and diabetes (11 papers), Liver Disease Diagnosis and Treatment (10 papers), Gut microbiota and health (9 papers), Transplantation: Methods and Outcomes (8 papers) and Renal Transplantation Outcomes and Treatments (6 papers). The work is most often cited by research in Transplantation (133 citations), Hepatology (227 citations), Nephrology (92 citations), Surgery (469 citations) and Biological Psychiatry (22 citations). Philipp Stiegler has collaborated with scholars based in Austria, Lithuania and Germany. Frequent co-authors include Bettina Leber, Vanessa Stadlbauer, Peter Schemmer, Karlheinz Tscheliessnigg, Kęstutis Strupas, Angela Horvath, Michael Sereinigg, Peter Fickert, S. Schaffellner and Florian Rainer. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, PLoS ONE, Nutrients and Journal of Hepatology.
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.