S. Schaffellner
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Hepatology top 5%
- Liver Disease and Transplantation
Papers in
-
- Renal Transplantation Outcomes and Treatments 12
- Hepatology 15
- Liver Disease and Transplantation 12
- Co-authors
- Daniela KniepeissKarlheinz TscheliessniggF. IbererFlorian IbererVanessa StadlbauerPhilipp StieglerCarolin LacknerG. Halwachs
In The Last Decade
S. Schaffellner
55 papers receiving 619 citations
Peers
Comparison fields: 5 of 73
- Transplantation 180
- Hepatology 202
- Surgery 436
- Cardiology and Cardiovascular Medicine 65
- Endocrinology, Diabetes and Metabolism 46
Countries citing papers authored by S. Schaffellner
This map shows the geographic impact of S. Schaffellner'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 S. Schaffellner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Schaffellner more than expected).
Fields of papers citing papers by S. Schaffellner
This network shows the impact of papers produced by S. Schaffellner. 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 S. Schaffellner. The network helps show where S. Schaffellner may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Schaffellner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 28 | |
| 2 | 2011 | 35 | |
| 3 | 2010 | 17 | |
| 4 | 2010 | 20 | |
| 5 | 2009 | 3 | |
| 6 | 2009 | 0 | |
| 7 | 2007 | 6 | |
| 8 | 2006 | 16 | |
| 9 | 2004 | 15 | |
| 10 | 2004 | 27 | |
| 11 | 2004 | 14 | |
| 12 | 2003 | 35 | |
| 13 | 2003 | 9 | |
| 14 | Neue Entwicklungen und zukünftige Trends im nichtinvasiven Abstoßungsmonitoring nach Herztransplantation - Computerized Heart Allograft Recipient Monitoring (CHARM) | 2002 | 0 |
| 15 | 2001 | 2 | |
| 16 | 2001 | 3 | |
| 17 | 2000 | 14 | |
| 18 | 1998 | 6 | |
| 19 | 1998 | 21 | |
| 20 | 1998 | 0 |
About S. Schaffellner
S. Schaffellner is a scholar working on Transplantation, Hepatology, Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 630 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (18 papers), Transplantation: Methods and Outcomes (17 papers), Renal Transplantation Outcomes and Treatments (12 papers), Liver Disease and Transplantation (12 papers), Pancreatic function and diabetes (12 papers), Diabetes Management and Research (7 papers), Viral Infections and Immunology Research (7 papers) and Cardiac pacing and defibrillation studies (6 papers). The work is most often cited by research in Transplantation (180 citations), Hepatology (202 citations), Surgery (436 citations), Cardiology and Cardiovascular Medicine (65 citations) and Endocrinology, Diabetes and Metabolism (46 citations). S. Schaffellner has collaborated with scholars based in Austria, Germany and Belgium. Frequent co-authors include Daniela Kniepeiss, Karlheinz Tscheliessnigg, F. Iberer, Florian Iberer, Vanessa Stadlbauer, Philipp Stiegler, Carolin Lackner, G. Halwachs, K. H. Tscheließnigg and Rudolf Stauber. Their work appears in journals such as Transplant International, International Immunopharmacology, Clinical Transplantation, Transplantation and Xenotransplantation.
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.